IJACSA Vol. 13 Issue 12 (2022)

1

A Two-Step Approach to Weighted Bipartite Link Recommendations

Author 1: Nathan Ma

Many real-world person-person or person-product relationships can be modeled graphically. Specifically, bipartite graphs are especially useful when modeling scenarios involving two disjoint groups. As a result, existing papers have utilized bipartite graphs to address the classical link recommendation problem. Applying the principle of bipartite graphs, this research presents a modified… Read full abstract & cite →

Bipartite graph weighted graph link prediction two-step algorithm information retrieval

Abstract doi.org/10.14569/IJACSA.2022.0131201 PDF

2

Hyperspectral Image Segmentation using End-to-End CNN Architecture with built-in Feature Compressor for UAV Systems

Author 1: Muhammad Bilal Author 2: Khalid Munawar Author 3: Muhammad Shafique Shaikh Author 4: Ubaid M. Al-Saggaf Author 5: Belkacem Kada

Hyperspectral image segmentation is an important task for geographical surveying. Real-time processing of this operation is especially important for sensors mounted on-board Unmanned Aerial Vehicles in the context of visual servoing, landmarks recognition and data compression for efficient storage and transmission. To this end, this paper proposes a machine learning… Read full abstract & cite →

Hyperspectral images CNN dimensionality reduction segmentation PCA

Abstract doi.org/10.14569/IJACSA.2022.0131202 PDF

3

Design of Personalized VR Short Video Content Distribution Algorithm based on Artificial Neural Network

Author 1: Han Zhong Author 2: Donghyuk Choi Author 3: Wonho Choi Author 4: Yu Zheng

In order to improve the video quality, reduce the number of video jams, and improve the video transcoding rate, a new personalized distribution algorithm of VR short video content based on artificial neural network is proposed. BP neural network is used to compress the original video and determine the execution… Read full abstract & cite →

Artificial neural network VR short video BP neural network video cache cost optimization

Abstract doi.org/10.14569/IJACSA.2022.0131203 PDF

4

Modeling and Simulation of a Blockchain Consensus for IoT Node Data Validation

Author 1: Bismark Tei Asare Author 2: Laurent Nana Author 3: Kester Quist-Aphetsi

The classical blockchain developed for the Bitcoin cryptocurrency has evolved since its introduction more than a decade ago. Blockchain exists in different forms for different purposes and operational contexts. There has been a significant growth in the business use cases of blockchain which is based on the unique attributes of… Read full abstract & cite →

Blockchain consensus ripple consensus algorithm coloured petri net cyber-physical system IoT architecture node data security

Abstract doi.org/10.14569/IJACSA.2022.0131204 PDF

5

Microcontrollers Programming Framework based on a V-like Programming Language

Author 1: Fernando Mart´inez Santa Author 2: Santiago Orjuela Rivera Author 3: Fredy H. Mart´inez Sarmiento

This paper describes the design of a programming framework for microcontrollers specially the ones with low program and data memory, using as a base a programming language with modern features. The proposed programming framework is named Aixt Project and took inspiration from other similar projects such as Arduino, Micropython and… Read full abstract & cite →

Microcontroller transpiler API programming language V V-lang Aixt project

Abstract doi.org/10.14569/IJACSA.2022.0131205 PDF

6

Advantages of Digital Transformation Models and Frameworks for Business: A Systematic Literature Review

Author 1: Seyedali Aghamiri Author 2: John Karima Author 3: Nadire Cavus

Digital Transformation (DT) is a vital change in the way an organization utilizes processes, people, and technology to provide value to its ever changing customer expectations over products and services. Researchers developed models and frameworks to tackle concerns in this area, and existing literature improved our understanding of digital transformation… Read full abstract & cite →

Digital transformation digitalization model framework business SMEs

Abstract doi.org/10.14569/IJACSA.2022.0131206 PDF

7

Dynamic Time Warping Features Extraction Design for Quranic Syllable-based Harakaat Assessment

Author 1: Noraimi Shafie Author 2: Azizul Azizan Author 3: Mohamad Zulkefli Adam Author 4: Hafiza Abas Author 5: Yusnaidi Md Yusof Author 6: Nor Azurati Ahmad

The use of technological speech recognition systems with a variety of approaches and techniques has grown exponentially in varieties of human-machine interaction applications. The assessment for Qur'anic recitation errors based on syllables utterance is used to meet the Tajweed rules which generally consist of Harakaat (prolonging). The digital transformation of… Read full abstract & cite →

Speech processing short time frequency transform dynamic time warping human-guided threshold classification

Abstract doi.org/10.14569/IJACSA.2022.0131207 PDF

8

A Novel Method for Recognizing Traffic Signs using Color and Texture Properties using the ELM Algorithm

Author 1: Xiaoda Cao

Road accidents cause a lot of financial and human losses every year. One of the causes of these accidents is human error, and the driver ignores traffic signs. Therefore, accurate detection of these signs will help to increase the safety of drivers and pedestrians and reduce accidents. In recent years… Read full abstract & cite →

Traffic sign recognition torsional neural network HOG Feature LBP Feature ELM Algorithm

Abstract doi.org/10.14569/IJACSA.2022.0131208 PDF

9

Global Pattern Feedforward Neural Network Structure with Bacterial Foraging Optimization towards Medicinal Plant Leaf Identification and Classification

Author 1: Sapna R Author 2: S N Sheshappa Author 3: P Vijayakarthik Author 4: S Pravinth Raja

Medicinal Plant species help to cure various diseases across the world. The automated identification of medicinal plant species to treat disease based on their structure is much required in pharmaceutical laboratories. Plant Species with a complex background in the field will make the detection and classification more difficult. In this… Read full abstract & cite →

Medicinal plant feed-forward neural networks linear discriminant analysis bacterial forging

Abstract doi.org/10.14569/IJACSA.2022.0131209 PDF

10

Predicting Employee Turnover in IT Industries using Correlation and Chi-Square Visualization

Author 1: Bagus Priambodo Author 2: Yuwan Jumaryadi Author 3: Sarwati Rahayu Author 4: Nur Ani Author 5: Anita Ratnasari Author 6: Umniy Salamah Author 7: Zico Pratama Putra Author 8: Muhamad Otong

Employee turnover in the IT industry is among the highest compared to other industries. Knowing factors that influence the turnover may help reduce this issue in future. One of these factors is job satisfaction, which are composed of two important factors, status and seniority. In this study, the correlation and… Read full abstract & cite →

Employee turnover turnover factors chi-square classification algorithm

Abstract doi.org/10.14569/IJACSA.2022.0131210 PDF

11

Arabic Location Named Entity Recognition for Tweets using a Deep Learning Approach

Author 1: Bedour Swayelh Alzaidi Author 2: Yoosef Abushark Author 3: Asif Irshad Khan

Social media sites like Twitter have emerged in recent years as a major data source utilized in a variety of disciplines, including economics, politics, and scientific study. To extract pertinent data for decision-making and behavioral analysis, one can use Twitter data. To extract event location names and entities from colloquial… Read full abstract & cite →

NER Named Entity Recognition NEL named entity linking event location deep learning Arabic

Abstract doi.org/10.14569/IJACSA.2022.0131211 PDF

12

Low Complexity Classification of Thermophilic Protein using One Hot Encoding as Protein Representation

Author 1: Meredita Susanty Author 2: Rukman Hertadi Author 3: Ayu Purwarianti Author 4: Tati Latifah Erawati Rajab

The laborious, and cost-inefficient biochemical methods for identifying thermophilic proteins necessarily require a rapid and accurate method for identifying thermophilic proteins. Recently, machine learning has become a more effective method for identifying specific classes of extremophiles. There is still a need for a low-cost method for identifying thermophilic proteins, despite… Read full abstract & cite →

Thermophilic classification one-hot encoding BiLSTM

Abstract doi.org/10.14569/IJACSA.2022.0131212 PDF

13

Comparison of Naive Bayes and SVM Classification in Grid-Search Hyperparameter Tuned and Non-Hyperparameter Tuned Healthcare Stock Market Sentiment Analysis

Author 1: KaiSiang Chong Author 2: Nathar Shah

This paper compares the performance of Naive Bayes and SVM classifiers classification based on sentiment analysis of healthcare companies' stock comments in Bursa Malaysia. Differing from other studies which focus on the performance of the classifier models, this paper focuses on identifying the hyperparameters of the classifier models that are… Read full abstract & cite →

Machine learning sentiment analysis opinion mining Naïve Bayes SVM Classifier grid search technique hyperparameter tuning

Abstract doi.org/10.14569/IJACSA.2022.0131213 PDF

14

Intrusion Detection System using Long Short Term Memory Classification, Artificial Raindrop Algorithm and Harmony Search Algorithm

Author 1: Meghana G Raj Author 2: Santosh Kumar Pani

Nowadays, various technological advancements in Intrusion Detection Systems (IDS) detects the malicious attacks and reinstate network security in the cloud platform. Cloud based IDS designed with hybrid elements combining Machine Learning and Computational Intelligence algorithms have been shown to perform better on parameters, such as Detection Rate, Accuracy, and the… Read full abstract & cite →

Artificial raindrop algorithm cloud computing harmony search algorithm hybrid meta-heuristic algorithms hyper-parameter tuning intrusion detection system long short term memory classification model

Abstract doi.org/10.14569/IJACSA.2022.0131214 PDF

15

Social Media Multimodal Information Analysis based on the BiLSTM-Attention-CNN-XGBoost Ensemble Neural Network

Author 1: Ling Jixian Author 2: An Gang Author 3: Su Zhihao Author 4: Song Xiaoqiang

Social media users internalise information in a multimodal context. Social media functions as a primary information source for disaster situational awareness encompassing texts, photographs, videos, and other multimodal information widely used in emergency management. Applying ensemble learning to social media sentiment analysis has garnered much scholarly attention, albeit with limited… Read full abstract & cite →

Natural language processing social media sentiment analysis multimodal information processing ensemble neural network emergency management

Abstract doi.org/10.14569/IJACSA.2022.0131215 PDF

16

Design of Human-Computer Interaction Product Interface of Intelligent Service System based on User Experience

Author 1: Xiaoli Xiong Author 2: Yongguang Hou

The current intelligent service platform for human-computer interaction products and services on the user experience is not comprehensive enough, resulting in user satisfaction cannot reach the ideal level. Therefore, a new human-computer interface of intelligent service system based on user experience is designed. Build a user experience based intelligent service… Read full abstract & cite →

User experience intelligent service system human-computer interaction interface design ARM processor gateway module

Abstract doi.org/10.14569/IJACSA.2022.0131216 PDF

17

Age Estimation on Human Face Image Using Support Vector Regression and Texture-Based Features

Author 1: Jesy S Amelia Author 2: Wahyono

This paper proposed a framework for estimating human age using facial features. These features exploit facial region information, such as wrinkles on the eye and cheek, which are then represented as a texture-based feature. Our proposed framework has several steps: preprocessing, feature extraction, and age estimation. In this research, three… Read full abstract & cite →

Age estimation LBP BSIF LBQ MAE PCA preprocessing feature extraction Support Vector Regression (SVR)

Abstract doi.org/10.14569/IJACSA.2022.0131217 PDF

18

A Fast and Effective Method for Intrusion Detection using Multi-Layered Deep Learning Networks

Author 1: A. Srikrishnan Author 2: Arun Raaza Author 3: Ebenezer Abishek. B Author 4: V. Rajendran Author 5: M. Anand Author 6: S. Gopalakrishnan Author 7: Meena. M

The practise of recognising unauthorised abnormal actions on computer systems is referred to as intrusion detection. The primary goal of an Intrusion Detection System (IDS) is to identify user behaviours as normal or abnormal based on the data they communicate. Firewalls, data encryption, and authentication techniques were all employed in… Read full abstract & cite →

Intrusion detection system knowledge discovery and data mining transmission control protocol adaptive parallelized intrusion detection constrained-optimization-based extreme learning machine

Abstract doi.org/10.14569/IJACSA.2022.0131218 PDF

19

Footwear Sketches Colorization Method based on Generative Adversarial Network

Author 1: Xin Li Author 2: Yihang Zhang

The coloring of sketches has a constant market demand in the area of research. The difficulty of the coloring sketch outline is its lack of texture and color. Take footwear design as an example, it is difficult for designers to complete a colorful sketch in a limited time, so an… Read full abstract & cite →

Footwear sketch generative adversarial network image to image translation colorization

Abstract doi.org/10.14569/IJACSA.2022.0131219 PDF

20

Multi-Exposure Image Fusion based on Window Segmentation and a Laplacian Pyramid for Chip Package Appearance Quality Detection

Author 1: Fei Hao Author 2: Jiatong Song Author 3: Jiahao Sun Author 4: Yang Fu

A heterogeneous material image enhancement method based on multi-exposure image fusion is proposed to address the problem of obtaining high-quality images from the single imaging of chips containing two extremely different reflectivity materials. First, a multi-exposure image fusion algorithm based on window segmentation and Laplacian pyramid fusion is proposed. Then… Read full abstract & cite →

Image fusion multi-exposure Laplacian pyramid window segmentation chip package

Abstract doi.org/10.14569/IJACSA.2022.0131220 PDF

21

Image Matting using Neural Networks

Author 1: Nrupatunga J Author 2: Swarnalatha K S

Image matting, also refers to picture matting in the article, is the task of finding appealing targets in a picture or sequence of pictures i.e., video, and it has been used extensively in many photo and video editing applications. Image composition is the process of extracting an eye-catching subject from… Read full abstract & cite →

Picture matting RGB picture Blue/Green screen foreground background

Abstract doi.org/10.14569/IJACSA.2022.0131221 PDF

22

New Text Steganography Technique based on Multilayer Encoding with Format-Preserving Encryption and Huffman Coding

Author 1: Mohammed Abdul Majeed Author 2: Rossilawati Sulaiman Author 3: Zarina Shukur

Steganography is the process of hiding secret data inside other media or cover media. Balancing the requirements for capacity, security, and imperceptibility is the main challenge for any successful steganography system. In text steganography, the data hiding capacity is limited because of the lack of redundant data compared to other… Read full abstract & cite →

Text steganography format-preserving encryption Huffman coding unicode characters

Abstract doi.org/10.14569/IJACSA.2022.0131222 PDF

23

Secure Palmprint Recognition based on Multispectral Sequential Capture

Author 1: Amine AMRAOUI Author 2: Mounir AIT KERROUM Author 3: Youssef FAKHRI

The security of personal identities is a serious challenge in today's digital world, with so many daily transactions requiring secure solutions. The use of biometric characteristics of the person is presented as the reliable solution to solve this problem. Indeed, this solution is effective, but it hides a weak point… Read full abstract & cite →

Biometrics multispectral palmprint local features fusion compound local binary pattern

Abstract doi.org/10.14569/IJACSA.2022.0131223 PDF

24

Combining the Characteristics of the Buddha Statue from Photogrammetry and 3D Creation to Simulate the Combination of the Art of Creating Buddha Statue

Author 1: Jirawat Sookkaew Author 2: Nakarin Chaikaew

The creation of this research was born out of interest in creating the art of carved sandstone into Buddha statue found in the area of Phayao Province, which was part of the Lanna Kingdom that prospered during the 19th-23rd Buddhist century. In the area of Phayao province, the sandstone Buddha… Read full abstract & cite →

3D art 3D artifacts creation blending art reconstruction artifacts

Abstract doi.org/10.14569/IJACSA.2022.0131224 PDF

25

Hardware Trojan Detection based on Testability Measures in Gate Level Netlists using Machine Learning

Author 1: Thejaswini P Author 2: Anu H Author 3: Aravind H S Author 4: D Mahesh Kumar Author 5: Syed Asif Author 6: Thirumalesh B Author 7: Pooja C A Author 8: Pavan G R

Modern integrated circuit design manufacturing involves outsourcing intellectual property to third-party vendors to cut down on overall cost. Since there is a partial surrender of control, these third-party vendors may introduce malicious circuit commonly known as Hardware Trojan into the system in such a way that it goes undetected by… Read full abstract & cite →

Hardware trojan machine learning controllability observability detection and mitigation

Abstract doi.org/10.14569/IJACSA.2022.0131225 PDF

26

Multi-Objective Optimal Path Planning for Autonomous Robots with Moving Obstacles Avoidance in Dynamic Environments

Author 1: Kadari Neeraja Author 2: G Narsimha

Path planning is vital for robust autonomous robot navigation. Driving in dynamic environments is particularly difficult. The majority of the work is based on the premise that a robot possesses a comprehensive and precise representation of its surroundings prior to its starting. The problem of partially knowing and dynamic environments… Read full abstract & cite →

Autonomous mobile robots dynamic environment planning collision-free time-efficient paths

Abstract doi.org/10.14569/IJACSA.2022.0131226 PDF

27

Eye-Vision Net: Cataract Detection and Classification in Retinal and Slit Lamp Images using Deep Network

Author 1: Binju Saju Author 2: Rajesh R

In the modern world, cataracts are the predominant cause of blindness. Early treatment and detection can reduce the number of cataract patients and prevent surgery. However, cataract grade classification is necessary to control risk and avoid blindness. Previously, various studies focused on developing a system to detect cataract type and… Read full abstract & cite →

Cataract detection grade classification CRNN dense CNN Aquila optimization BE-ResNet101

Abstract doi.org/10.14569/IJACSA.2022.0131227 PDF

28

Fast Comprehensive Secret Sharing using Naive Image Compression

Author 1: Heri Prasetyo Author 2: Kukuh Caezaocta Prayuda

This paper presents a simple method for performing (k,n)-Secret Sharing (SS) with fast computation. It aims to reduce the computational time of the former scheme in the shadow generation process. The former scheme performs SS with the polynomial function computation by involving the color palette. The color palette transforms noisy-like… Read full abstract & cite →

Comprehensive image compression naïve polynomial secret sharing

Abstract doi.org/10.14569/IJACSA.2022.0131228 PDF

29

The Effect of Blockchain using Big data and the Internet of Things in Healthcare

Author 1: Bassant Nabil Mohamed Author 2: Hatem Abdelkader

Modern organizations of all sizes emphasize safeguarding sensitive consumer information. Regardless of the limits given by the degrees they choose to pursue, people are nevertheless required to possess data management skills. In addition, determine if the data should be centralized or decentralized to meet the objective of enhancing accessibility. In… Read full abstract & cite →

Big data blockchain internet of things data security healthcare data processing cost IOMCT climate change and global warming

Abstract doi.org/10.14569/IJACSA.2022.0131229 PDF

30

Multi Oral Disease Classification from Panoramic Radiograph using Transfer Learning and XGBoost

Author 1: Priyanka Jaiswal Author 2: Vijay Katkar Author 3: S. G. Bhirud

The subject of oral healthcare is a crucial research field with significant technological development. This research examines the field of oral health care known as dentistry, a branch of medicine concerned with the anatomy, development, and disorders of the teeth. Good oral health is essential for speaking, smiling, testing, touching… Read full abstract & cite →

Panoramic radiograph dentistry deep learning ensemble classifier multi-disease classification and prediction oral diseases weighted ensemble module XGBoost

Abstract doi.org/10.14569/IJACSA.2022.0131230 PDF

31

Dilated Multi-Activation Autoencoder to Improve the Performance of Sound Separation Mechanisms

Author 1: Ghada Dahy Author 2: Mohammed A. A. Refaey Author 3: Reda Alkhoribi Author 4: M. Shoman

Speech enhancement is the process of improving the quality of audio relative to target speaker while suppressing other sounds. It can be used in many applications as speech recognition, mobile phone, hearing aids and also enhancing audio files resulted from separation models. In this paper, a convolutional neural network (CNN)… Read full abstract & cite →

Speech de-noising speech enhancement speech separation short time Fourier transform (STFT) autoencoder dilated Convolution neural network multi-activation functions convolution neural network (CNN) bidirectional long short memory (BLSTM)

Abstract doi.org/10.14569/IJACSA.2022.0131231 PDF

32

A Machine Learning Ensemble Classifier for Prediction of Brain Strokes

Author 1: Samaa A. Mostafa Author 2: Doaa S. Elzanfaly Author 3: Ahmed E. Yakoub

Brain Strokes are considered one of the deadliest brain diseases due to their sudden occurrence, so predicting their occurrence and treating the factors may reduce their risk. This paper aimed to propose a brain stroke prediction model using machine learning classifiers and a stacking ensemble classifier. The smote technique was… Read full abstract & cite →

Stroke disease prediction model ensemble methods stacking classifier

Abstract doi.org/10.14569/IJACSA.2022.0131232 PDF

33

Feedforward Deep Learning Optimizer-based RNA-Seq Women's cancers Detection with a hybrid Classification Models for Biomarker Discovery

Author 1: Waleed Mahmoud Ead Author 2: Marwa Abouelkhir Abdelazim Author 3: Mona Mohamed Nasr

Women's cancers, signified by breast adenocarcinoma and non-small-cell lung cancers, are a significant threat to women's health. Across the globe, the leading cause of death for women is a group of tumors referred to as "female-oriented cancers". The most recent researches in the classification of molecular tumors is the analysis… Read full abstract & cite →

Women's cancers RNA-Seq deep learning molecular tumor hybrid classification models

Abstract doi.org/10.14569/IJACSA.2022.0131233 PDF

34

Transfer Learning for Closed Domain Question Answering in COVID-19

Author 1: Nur Rachmawati Author 2: Evi Yulianti

COVID-19 has been a popular issue around 2019 until today. Recently, there has been a lot of research being conducted to utilize a big amount of data discussing about COVID-19. In this work, we conduct a closed domain question answering (CDQA) task in COVID-19 using transfer learning technique. The transfer… Read full abstract & cite →

COVID-19 closed domain question answering sequential dependence model transfer learning BERT

Abstract doi.org/10.14569/IJACSA.2022.0131234 PDF

35

A Cascaded Feature Extraction for Diagnosis of Ovarian Cancer in CT Images

Author 1: Arathi B Author 2: Shanthini A

This paper proposed ovarian cancer detection in the ovarian image using joint feature extraction and an efficient Net model. The noise of the input image is filtered by using Improved NLM (Improved Non-Local Means) filtering. The deep features are extracted using Deep CNN_RSO (Deep Convolutional Neural Network Rat Swarm Optimization)… Read full abstract & cite →

Ovarian cancer deep convolutional neural network rat swarm optimization CT image joint feature efficient net improved non-local means interpolated local binary pattern

Abstract doi.org/10.14569/IJACSA.2022.0131235 PDF

36

Big Data and Internet of Things Web Service Management to Support Salt Agriculture Automation

Author 1: Muhammad Choirul Imam Author 2: Dedi Trisnawarman Author 3: Hugeng Author 4: Hetty Karunia Tunjung Sari

The integration of the internet of things in the information system application service web platform implemented in the supply chain has given rise to new formats and models, which are important manifestations of industry transformation and improvement. In the context of implementing long-term rural development plans, deep integration of the… Read full abstract & cite →

Web service big data salt IoT

Abstract doi.org/10.14569/IJACSA.2022.0131236 PDF

37

Recognition of Copy Move Forgeries in Digital Images using Hybrid Optimization and Convolutional Neural Network Algorithm

Author 1: Anna Gustina Zainal Author 2: Chamandeep Kaur Author 3: Mohammed Saleh Al Ansari Author 4: Ricardo Fernando Cosio Borda Author 5: A. Nageswaran Author 6: Rasha M. Abd El-Aziz

In the modern day, protecting data against tampering is a significant task. One of the most common forms of information display has been digital photographs. Images may be exploited in a variety of contexts, including the military, security applications, intelligence areas, legal evidence, social media, and journalism. Digital picture forgeries… Read full abstract & cite →

Copy move forgery convolutional neural network image authentication deep learning tampered images

Abstract doi.org/10.14569/IJACSA.2022.0131237 PDF

38

Event Detection and Classification Using Deep Compressed Convolutional Neural Network

Author 1: K. Swapnika Author 2: D. Vasumathi

Recently, the number of different kinds of events on social media platforms show a tremendous increase in each second. Hence, event detection holds a very important role in the current scenario. However, event detection is challenging in information technology (IT). Several machine learning-based approaches are established for the event detection… Read full abstract & cite →

Event detection erosion dilation deep learning deep compressed convolutional neural network hashing median filter

Abstract doi.org/10.14569/IJACSA.2022.0131238 PDF

39

Estimation of Transmission Rate and Recovery Rate of SIR Pandemic Model Using Kalman Filter

Author 1: Wahyu Sukestyastama Putra Author 2: Afrig Aminuddin Author 3: Ibnu Hadi Purwanto Author 4: Rakhma Shafrida Kurnia Author 5: Ika Asti Astuti

COVID-19 is a global pandemic that significantly impacts all aspects. The number of victims who died makes this disease so terrible. Various policies continue to be pursued to reduce the spread and impact of COVID-19. The spread of a disease can be modeled in differential equation modeling. This differential equation… Read full abstract & cite →

Kalman filter pandemic SIR model

Abstract doi.org/10.14569/IJACSA.2022.0131239 PDF

40

Tracking The Sensitivity of The Learning Models Toward Exact and Near Duplicates

Author 1: Menna Ibrahim Gabr Author 2: Yehia Helmy Author 3: Doaa S. Elzanfaly

Most real-world datasets contaminated by quality issues have a severe effect on the analysis results. Duplication is one of the main quality issues that hinder these results. Different studies have tackled the duplication issue from different perspectives. However, revealing the sensitivity of supervised and unsupervised learning models under the existence… Read full abstract & cite →

Deduplication deterministic duplicates probabilistic duplicates supervised learning models unsupervised learning models evaluation metrices

Abstract doi.org/10.14569/IJACSA.2022.0131240 PDF

41

A Hybrid Optimization Approach with Deep Learning Technique for the Classification of Dental Caries

Author 1: Riddhi Chawla Author 2: Konda Hari Krishna Author 3: Araddhana Arvind Deshmukh Author 4: K. V. Daya Sagar Author 5: Mohammed Saleh Al Ansari Author 6: Ahmed I. Taloba

Due to the wealth of data available from different radiographic images, detecting dental caries has traditionally been a difficult undertaking. Numerous techniques have been developed to enhance image quality for quicker caries detection. For the investigation of medical images, deep learning has emerged as the preferred methodology. This study provides… Read full abstract & cite →

Dental caries deep learning convolutional neural network

Abstract doi.org/10.14569/IJACSA.2022.0131241 PDF

42

FDeep: A Fog-based Intrusion Detection System for Smart Home using Deep Learning

Author 1: Tahani Gazdar

Smart Home is an application of the Internet of Things (IoT) that connects smart appliances and the Internet. The emergence of Smart Home has caused many security and privacy risks that can lead to fatal damages to the user and his property. Unfortunately, Intrusion detection systems designed for conventional networks… Read full abstract & cite →

Fog computing smart home deep learning IDS classification

Abstract doi.org/10.14569/IJACSA.2022.0131242 PDF

43

A Novel Approach to Cashew Nut Detection in Packaging and Quality Inspection Lines

Author 1: Van-Hung Pham Author 2: Ngoc-Khoat Nguyen Author 3: Van-Minh Pham

YOLO standing for You Only Look Once is one of the most famous algorithms in computer vision used for detecting objects in a real-time environment. The newest version of this algorithm, namely YOLO with the seventh version or YOLOv7, is proposed in the present study for cashew nut detection (good… Read full abstract & cite →

Cashew CNN cashew detection YOLOv7 computer vision

Abstract doi.org/10.14569/IJACSA.2022.0131243 PDF

44

Improvement Classification Approach in Tomato Leaf Disease using Modified Visual Geometry Group (VGG)-InceptionV3

Author 1: Jiraporn Thomkaew Author 2: Sarun Intakosum

This paper presents a new method for optimizing tomato leaf disease classification using Modified Visual Geometry Group (VGG)-InceptionV3. Improved performance of VGG-16 model as a base model with InceptionV3 block reduced the number of convolution layers of VGG-16 from 16 to 10 layers, and added an InceptionV3 block that was… Read full abstract & cite →

Modified VGG-InceptionV3 InceptionV3 VGG-16 tomato leaf disease classification

Abstract doi.org/10.14569/IJACSA.2022.0131244 PDF

45

Deep Neural Network Training and Testing Datasets for License Plate Recognition

Author 1: Ishtiaq Rasool Khan Author 2: Saleh M. Alshomrani Author 3: Muhammad Murtaza Khan Author 4: Susanto Rahardja

Modern society has made tremendous progress towards automation to increase the quality of life and reduce the margin of human error. Intelligent transportation systems are a critical aspect of this evolution. The core technology of these systems is the automatic identification of vehicles' license plates to monitor safety and control… Read full abstract & cite →

License plate recognition deep neural networks public datasets

Abstract doi.org/10.14569/IJACSA.2022.0131245 PDF

46

Prediction of Oil Production through Linear Regression Model and Big Data Tools

Author 1: Rehab Alharbi Author 2: Nojood Alageel Author 3: Maryam Alsayil Author 4: Rahaf Alharbi Author 5: A’aeshah Alhakamy

Fossil fuels, including oil, are the most important sources of energy. They are commonly used in various forms of commercial and industrial consumption. Producing oil is a complex task that requires special management and planning. This can result in a serious problem if the oil well is not operated properly… Read full abstract & cite →

Big data machine learning oil production regres-sion model features prediction PySpark

Abstract doi.org/10.14569/IJACSA.2022.0131246 PDF

47

A Comparison of Pathfinding Algorithm for Code Optimization on Grid Maps

Author 1: Azyan Yusra Kapi Author 2: Mohd Shahrizal Sunar Author 3: Zeyad Abd Algfoor

There have been various pathfinding algorithms created and developed over the past few decades to assist in finding the best path between two points. This paper presents a comparison of several algorithms for pathfinding on 2D grid maps. As a result, this study identified Jump Point Search Block Based Jumping… Read full abstract & cite →

Comparative jump point search optimization pathfinding path planning

Abstract doi.org/10.14569/IJACSA.2022.0131247 PDF

48

Integrating User Reviews and Issue Reports of Mobile Apps for Change Requests Detection

Author 1: Laila Al-Safoury Author 2: Akram Salah Author 3: Soha Makady

There is abundance of mobile Apps released continuously on the App store, where developers are required to maintain these Apps to attain user satisfaction. Developers should consider all user feedback, as they are important resources for planning of next App’s release. In order to consider user feedback, many platforms host… Read full abstract & cite →

User review feedback analysis mobile app maintenance text similarity

Abstract doi.org/10.14569/IJACSA.2022.0131248 PDF

49

Research on Quantitative Security Protection Technology of Distribution Automation Nodes based on Attack Tree

Author 1: Yinfeng Han Author 2: Yong Tang Author 3: Xiaoping Kang Author 4: Hao Jiang Author 5: Xiaoyang Song

In order to improve the security of distribution automation system nodes and ensure the safe operation of distribution network, a quantitative security protection technology for distribution automation nodes based on attack tree is proposed. This paper analyzes the factors of node risk assessment of the distribution automation system, and through… Read full abstract & cite →

Attack tree security protection risk assessment fault node location trusted computing SM4 encryption algorithm

Abstract doi.org/10.14569/IJACSA.2022.0131249 PDF

50

Analysis and Detection of Tomatoes Quality using Machine Learning Algorithm and Image Processing

Author 1: Haichun Zuo

Grading of agricultural products methods based on artificial intelligence is more important. Because these methods have the ability to learn and thus increase the flexibility of the system. In this paper, image processing systems, detection analysis methods, and artificial intelligence are used to grade tomatoes, and the success rate of… Read full abstract & cite →

Machine learning image processing product category tomato quality rating

Abstract doi.org/10.14569/IJACSA.2022.0131250 PDF

51

Electricity Theft Detection using Machine Learning

Author 1: Ivan Petrlik Author 2: Pedro Lezama Author 3: Ciro Rodriguez Author 4: Ricardo Inquilla Author 5: Julissa Elizabeth Reyna-González Author 6: Roberto Esparza

This research work dealt with the indiscriminate theft of electric power, reported as a non-technical loss, affecting electric distribution companies and customers, triggering serious consequences including fires and blackouts. The research focused on recommending the best prediction model using Machine Learning in electrical energy theft. The source of the information… Read full abstract & cite →

Energy theft non-technical losses machine learning support vector machine

Abstract doi.org/10.14569/IJACSA.2022.0131251 PDF

52

Machine Learning for Securing Traffic in Computer Networks

Author 1: Ahmed BaniMustafa Author 2: Mahmoud Baklizi Author 3: Khalaf Khatatneh

Computer network attacks are among the most significant and common threats against computer-wired and wireless communications. Intrusion detection technology is used to secure computer networks by monitoring network traffic and identifying attacks. In this paper, we investigate and evaluate the application of four machine learning classification algorithms for identifying attacks… Read full abstract & cite →

Machine learning data mining cyber security computer networks intrusion detection

Abstract doi.org/10.14569/IJACSA.2022.0131252 PDF

53

Fish Detection in Seagrass Ecosystem using Masked-Otsu in HSV Color Space

Author 1: Sri Dianing Asri Author 2: Indra Jaya Author 3: Agus Buono Author 4: Sony Hartono Wijaya

Seagrass ecosystems are coastal ecosystems with high species diversity, especially fish. Fish diversity determines the abundance of communities based on the number of species. Detection of fish directly (in-situ) and conventionally by catching them requires more energy, costs, and relatively needs time. Therefore a computer vision method is needed that… Read full abstract & cite →

Fish Detection HSV color space masked-otsu thresholding morphological operation seagrass ecosystem

Abstract doi.org/10.14569/IJACSA.2022.0131253 PDF

54

Prioritizing the Factors Affecting the Application of Industry 4.0 Technology in Electrical Appliance Manufacturing using a Fuzzy Analytical Network Process Approach

Author 1: Apiwat Krommuang Author 2: Atchari Krommuang

The fourth industrial revolution is a technological advancement that is posing new challenges in manufacturing and services. Industries must adopt innovations to create value-added for their products and services to gain a competitive advantage and increase production efficiency. Therefore, this research aims to study the factors that influence the application… Read full abstract & cite →

Industry 4.0 big data analytics internet of things cloud manufacturing additive manufacturing cyber-physical systems fuzzy analytic network process

Abstract doi.org/10.14569/IJACSA.2022.0131254 PDF

55

The Prediction of Pediatric Outpatient No-Show Visits by Employing Machine Learning Framework

Author 1: Abdulwahhab Alshammari Author 2: Hanoof Alaboodi Author 3: Riyad Alshammari

Patient no-show for a booked medical appointment is a significant problem that negatively impacts healthcare resource utilization, cost, efficiency, quality, and patient outcomes. This paper developed a machine learning framework to predict pediatric patients' no-shows to medical appointments accurately. Thirty months of outpatient visits data were extracted from data warehouse… Read full abstract & cite →

No-show machine learning healthcare medical appointments predictive analytics

Abstract doi.org/10.14569/IJACSA.2022.0131255 PDF

56

Principal Component Analysis Based Hybrid Speckle Noise Reduction Technique for Medical Ultrasound Imaging

Author 1: Yasser M. Kadah Author 2: Ahmed F. Elnokrashy Author 3: Ubaid M. Alsaggaf Author 4: Abou-Bakr M. Youssef

Ultrasound imaging is the safest and most widely used medical imaging technique available today. The main disadvantage of ultrasound imaging is the presence of speckle noise in its images that may obscure pathological changes in the body and makes diagnosis more challenging. Therefore, many techniques were proposed to reduce speckle… Read full abstract & cite →

Image quality metrics principal component analysis speckle reduction ultrasound imaging

Abstract doi.org/10.14569/IJACSA.2022.0131256 PDF

57

Application of Artificial Intelligence-Genetic Algorithms to Select Stock Portfolios in the Asian Markets

Author 1: Luu Thu Quang

The paper's main goal is to use a genetic algorithm to find the best stock portfolio that meets the criteria of high return and low risk, allowing investors to adjust the appropriate proportion for each share. Using the Python programming language based on the Jupyter Notebook engine, this paper introduces… Read full abstract & cite →

Artificial intelligence genetic algorithms optimal portfolio Sharpe ratio Asian stock market

Abstract doi.org/10.14569/IJACSA.2022.0131257 PDF

58

Automatic Detection of Alzheimer Disease from 3D MRI Images using Deep CNNs

Author 1: Nermin Negied Author 2: Ahmed SeragEldin

Alzheimer's disease (AD), also referred to simply as Alzheimer's, is a chronic neurodegenerative disease that usually starts slowly and worsens over time. It is the cause of 60% to 70% of cases of dementia. In 2015, there were approximately 29.8 million people worldwide with AD. It most often begins in… Read full abstract & cite →

Alzheimer detection brain scanning techniques MRI scanning image processing machine learning

Abstract doi.org/10.14569/IJACSA.2022.0131258 PDF

59

Multi-Modal Medical Image Fusion Using Transfer Learning Approach

Author 1: Shrida Kalamkar Author 2: Geetha Mary A

Multimodal imaging techniques of the same organ help in getting anatomical as well as functional details of a particular body part. Multimodal imaging of the same organs can help doctors diagnose a disease cost-effectively. In this paper, a hybrid approach using transfer learning and discrete wavelet transform is used to… Read full abstract & cite →

Image fusion discrete wavelet transform computer vision inverse wavelet transform

Abstract doi.org/10.14569/IJACSA.2022.0131259 PDF

60

The Optimal Route Selection Model of Fresh Agricultural Products Transportation Based on Bee Colony Algorithm

Author 1: Qingqing Ren

In order to optimize the distribution route of fresh agricultural products and reduce the distribution cost, the optimal route selection model of fresh agricultural products transportation based on bee colony algorithm is constructed. After establishing the transportation road network model of fresh agricultural products and analyzing the transportation road information… Read full abstract & cite →

Bee colony algorithm fresh agricultural products transportation optimal route selection road network model spectral clustering

Abstract doi.org/10.14569/IJACSA.2022.0131260 PDF

61

An Enhanced Face Detection System using A Novel FIS-CDNN Classifier

Author 1: Santhosh S Author 2: S. V. Rajashekararadhya

A computer application that can detect, track, identify or verify human faces as of an image or video capture utilizing a digital camera is Face Recognition (FR). Few challenges like low-resolution images, aging, uncontrolled pose, illumination changes, and poor lighting conditions are not tackled even though huge advancement has been… Read full abstract & cite →

Gamma correction - based histogram equalization (GBHE) technique modified tiny face detection method (MTFD) Improved Chehra (IC) landmark extraction method Gaussian-based Spider Monkey Optimization (GSMO) Algorithm fuzzy interference system-convolutional deep neural network (FIS-CDNN) classifier

Abstract doi.org/10.14569/IJACSA.2022.0131261 PDF

62

Performance Analysis of Machine Learning-based Detection of Sinkhole Network Layer Attack in MANET

Author 1: Sivanesan N Author 2: K. S. Archana

This paper proposes an Intrusion Detection System (IDS) against Sinkhole attacks in Mobile Adhoc Networks (MANET) with mobile sinks. A sinkhole attack is where a hacked node advertises a false routing update to draw network traffic. One effect of a sinkhole attack is that it may be used to launch… Read full abstract & cite →

Sinkhole machine learning MANET intrusion detection

Abstract doi.org/10.14569/IJACSA.2022.0131262 PDF

63

Friendly Group Architecture for Securely Promoting Selfish Node Cooperation in Wireless Ad-hoc Network

Author 1: Rajani K C Author 2: Aishwarya P Author 3: Manjunath S

Wireless Ad-hoc Network is characterized by a decentralized communication scheme with self-configuring nodes which has witnessed a wide range of practical wireless applications. However, this characteristic also results in various security threats in vulnerable wireless environment irrespective of presence of various routing protocols. Review of existing literature shows that there… Read full abstract & cite →

Wireless Adhoc network selfish node DSR reactive security

Abstract doi.org/10.14569/IJACSA.2022.0131263 PDF

64

Implementation of Fuzzy Expert System on Skin Diseases

Author 1: Admi Syarif Author 2: Mayda B Fauzi Author 3: Aristoteles Author 4: Agus Wantoro

Skin diseases are a group of diseases affecting people of all ages, commonly caused by fungi, bacteria, parasites, viruses, and infections. The disease's main symptoms are usually itching all over the skin. Many patients are often underestimated and embarrassed to consult directly with doctors, which in the end, ignores the… Read full abstract & cite →

Artificial intelligence expert system fuzzy logic skin disease

Abstract doi.org/10.14569/IJACSA.2022.0131264 PDF

65

Dual U-Net with Resnet Encoder for Segmentation of Medical Images

Author 1: Syed Qamrun Nisa Author 2: Amelia Ritahani Ismail

Segmentation of medical images has been the most demanding and growing area currently for analysis of medical images. Segmentation of polyp images is a huge challenge because of the variability of color depth and morphology in polyps throughout colonoscopy imaging. For segmentation, in this work, we have used a dataset… Read full abstract & cite →

Segmentation Medical Images Deep Convolutional Neural Network FCN U-net Unet_Resnet Dual U-net with Resnet Encoder

Abstract doi.org/10.14569/IJACSA.2022.0131265 PDF

66

Rapid Modelling of Machine Learning in Predicting Office Rental Price

Author 1: Thuraiya Mohd Author 2: Muhamad Harussani Author 3: Suraya Masrom

This study demonstrates the utilization of rapid machine learning modelling in an essential case of the real estate industry. Predicting office rental price is highly crucial in the real estate industry but the study of machine learning is still in its infancy. Despite the renowned advantages of machine learning, the… Read full abstract & cite →

Random forest decision tree support vector machine rapid prediction modelling office rental price

Abstract doi.org/10.14569/IJACSA.2022.0131266 PDF

67

Hybrid Modeling to Classify and Detect Outliers on Multilabel Dataset based on Content and Context

Author 1: Lusiana Efrizoni Author 2: Sarjon Defit Author 3: Muhammad Tajuddin

Due to the linked various matching categories, news article categorization are a rapidly increasing field of interest in text classification. However, the low-reliability indices and ambiguities related to frequently used province classifiers restrict success in this field. Most of the existing research uses traditional machine learning algorithms. It has weaknesses… Read full abstract & cite →

News article classification machine learning outlier detection

Abstract doi.org/10.14569/IJACSA.2022.0131267 PDF

68

Web based Mitosis Detection on Breast Cancer Whole Slide Images using Faster R-CNN and YOLOv5

Author 1: Rajasekaran Subramanian Author 2: R. Devika Rubi Author 3: Rohit Tapadia Author 4: Katakam Karthik Author 5: Mohammad Faseeh Ahmed Author 6: Allam Manudeep

Histological grading quantifies the tumor architecture and the cytology deviation of breast cancer against normal tissue. Nottingham Grading System grades the breast cancer classification and allots tumor scores. Mitotic detection is one of the major components in the Nottingham Grading System. Using a conventional microscope is time-consuming, semi-quantitative and has… Read full abstract & cite →

Nottingham grading system breast cancer biomarker whole slide image mitosis faster R-CNN YOLOv5

Abstract doi.org/10.14569/IJACSA.2022.0131268 PDF

69

A Novel Compound Feature based Driver Identification

Author 1: Md. Abbas Ali Khan Author 2: Mohammad Hanif Ali Author 3: AKM Fazlul Haque Author 4: Md. Iktidar Islam Author 5: Mohammad Monirul Islam

In today's world, it is time to identify the driver through technology. At present, it is possible to find out the driving style of the drivers from every car through controller area network (CAN-BUS) sensor data which was not possible through the conventional car. Many researchers did their work and… Read full abstract & cite →

Compound feature driver behavior identification engine speed fuel consumption vehicle

Abstract doi.org/10.14569/IJACSA.2022.0131269 PDF

70

BrainNet-7: A CNN Model for Diagnosing Brain Tumors from MRI Images based on an Ablation Study

Author 1: Md Harun or Rashid Author 2: Salma Akter Author 3: Amatul Bushra Akhi

Tumors in the brain are masses or clusters of abnormal cells that may spread to other tissues nearby and pose a danger to the patient. The main imaging technique used to determine the extent of brain tumors is magnetic resonance imaging, which ensures an accurate diagnosis. A sizable amount of… Read full abstract & cite →

MRI image image pre-processing transfer-learning CNN brainnet-7

Abstract doi.org/10.14569/IJACSA.2022.0131270 PDF

71

Research on Real-time Monitoring of Video Images of Traffic Vehicles and Pedestrian Flow using Intelligent Algorithms

Author 1: Xiujuan Dong Author 2: Jianping Lan Author 3: Wenhuan Wu

The development of urbanization has brought many traffic problems, among which the delayed feedback of traffic flow and people flow has led to traffic congestion. In order to effectively analyze the traffic flow and people flow on the traffic road, this research proposes a traffic surveillance video image object detection… Read full abstract & cite →

Urban development object detection traffic video Vibe algorithm visitors flowrate image filtering

Abstract doi.org/10.14569/IJACSA.2022.0131271 PDF

72

Towards an Accurate Breast Cancer Classification Model based on Ensemble Learning

Author 1: Aya Hesham Author 2: Nora El-Rashidy Author 3: Amira Rezk Author 4: Noha A. Hikal

Breast cancer (BC) is considered the most common cancer among women and the major reason for the increased death rate. This condition begins in breast cells and may spread to the rest of the body tissues. The early detection and prediction of BC can help in saving a patient’s life… Read full abstract & cite →

Breast cancer feature selection classification machine learning

Abstract doi.org/10.14569/IJACSA.2022.0131272 PDF

73

A Deep Learning-based Model for Evaluating the Sustainability Performance of Accounting Firms

Author 1: Cui Hu

The harmonious and stable development of society is strongly related to the sustainable development of enterprises. In order to better face the challenges of environmental resources, sustainable development must be included in the development focus of accounting enterprises. The research proposes a performance evaluation model based on deep learning, improves… Read full abstract & cite →

Deep learning RBM performance evaluation classification accuracy sustainability

Abstract doi.org/10.14569/IJACSA.2022.0131273 PDF

74

A Hierarchical ST-DBSCAN with Three Neighborhood Boundary Clustering Algorithm for Clustering Spatio–temporal Data

Author 1: Amalia Mabrina Masbar Rus Author 2: Zulaiha Ali Othman Author 3: Azuraliza Abu Bakar Author 4: Suhaila Zainudin

Clustering Spatio-temporal data is challenging because of the complexity of processing the spatial and temporal aspects. Various enhanced clustering approaches, such as partition-based and hierarchical-based algorithms have been proposed. However, the ST-DBSCAN density-based algorithm is commonly used to process irregularly shaped clusters. Moreover, ST-DBSCAN considers neighborhood parameters as spatial and… Read full abstract & cite →

Data mining hierarchical clustering density-based clustering spatio–temporal clustering

Abstract doi.org/10.14569/IJACSA.2022.0131274 PDF

75

Research on Asymmetry of Two-Queue Cycle Query Threshold Service Polling System

Author 1: Man Cheng Author 2: Dedu Yin Author 3: Xinchun Wang

Based on establishing the mathematical model of the system provided system parameters, using the discrete-time Markov chain and a function set by a non-negative integer random variable as Probabilistic methods, discrete time variable, two-queue different gated polling system has been fully analyzed, the low- and higher-order properties and cycle period… Read full abstract & cite →

Discrete time query asymmetric two-queue threshold service second-order characteristic quantity information packets average delay

Abstract doi.org/10.14569/IJACSA.2022.0131275 PDF

76

Transformer-based Cross-Lingual Summarization using Multilingual Word Embeddings for English - Bahasa Indonesia

Author 1: Achmad F. Abka Author 2: Kurniawati Azizah Author 3: Wisnu Jatmiko

Cross-lingual summarization (CLS) is a process of generating a summary in the target language from a source document in another language. CLS is a challenging task because it involves two different languages. Traditionally, CLS is carried out in a pipeline scheme that involves two steps: summarization and translation. This approach… Read full abstract & cite →

Cross-lingual summarization multilingual word embeddings transformer automatic summarization

Abstract doi.org/10.14569/IJACSA.2022.0131276 PDF

77

Analysis of Content Based Image Retrieval using Deep Feature Extraction and Similarity Matching

Author 1: Anu Mathews Author 2: Sejal N Author 3: Venugopal K R

Image retrieval using a textual query becomes a major challenge mainly due to human perception subjectivity and the impreciseness of image annotations. These drawbacks can be overcome by focusing on the content of images rather than on the textual descriptions of images. Traditional feature extraction techniques demand for expert knowledge… Read full abstract & cite →

Convolutional neural network deep learning feature extraction accuracy similarity

Abstract doi.org/10.14569/IJACSA.2022.0131277 PDF

78

Emotion Recognition on Multimodal with Deep Learning and Ensemble

Author 1: David Adi Dharma Author 2: Amalia Zahra

Emotion Recognition on multimodal dataset is a difficult task, which is one of the most important tasks in topics like Human Computer Interaction (HCI). This paper presents a multimodal approach for emotion recognition on dataset MELD. The dataset contains three modalities, audio, text, and facial features. In this research, only… Read full abstract & cite →

Emotion recognition deep learning ensemble method transformer natural language processing

Abstract doi.org/10.14569/IJACSA.2022.0131278 PDF

79

Fault Diagnosis Technology of Railway Signal Equipment based on Improved FP-Growth Algorithm

Author 1: Yueqin Yang

The rapid development of computer information technology has made various fault diagnosis and detection technologies emerge in an endless stream. As one of the main transportation vehicles, the detection efficiency of fault diagnosis of railway signal equipment has important practical significance for maintaining the overall safe operation of railways. On… Read full abstract & cite →

FP-growth algorithm gailway signal equipment fault diagnosis relevance frequent itemsets vector space model

Abstract doi.org/10.14569/IJACSA.2022.0131279 PDF

80

A Systematic Literature Review: Internet of Things on Smart Greenhouse

Author 1: Dodi Yudo Setyawan Author 2: Warsito Author 3: Roniyus Marjunus Author 4: Nurfiana Author 5: Rahmalia Syahputri

The Increasing food needs and climate instability require researchers to innovate agriculture using smart greenhouses that are integrated with the Internet of Things (IoT). The Systematic Literature Review (SLR) begins with determining the topic keywords followed by searching the publisher link. It obtains 301 publications to be reviewed, 58 of… Read full abstract & cite →

IoT SLR Smart greenhouse agriculture research gap

Abstract doi.org/10.14569/IJACSA.2022.0131280 PDF

81

An Adaptive Texture Enhancement Algorithm for AR Live Screen Based on Approximate Matching

Author 1: Panpan Yang Author 2: Lingfei Ma Author 3: Chao Yin Author 4: Yang Ping

In order to improve the visual effect of AR live video detail texture, an adaptive enhancement algorithm based on approximate matching is proposed. According to the local self-similarity of the original image, the best matching block of the initial super-resolution image block is obtained. After extracting its high-frequency information, the… Read full abstract & cite →

Approximate matching AR live picture details adaptive texture enhancement matrix reconstruction

Abstract doi.org/10.14569/IJACSA.2022.0131281 PDF

82

Deep Primary and Secondary Fusion Transformer Based on Internet of Things Technology

Author 1: Xiaohua Zhang Author 2: Yuping Wu Author 3: Jianjun Chen Author 4: Jie Dong Author 5: Yu Yue

As one of the core equipment of power system, power transformer has great fault influence and complex fault causes. In order to ensure the safe and stable operation of power system, its operation state must be monitored and judged. With the increasing maturity of the Internet industry and the continuous… Read full abstract & cite →

Internet of things technology primary and secondary integration smart transformer fault detection

Abstract doi.org/10.14569/IJACSA.2022.0131282 PDF

83

Research on High Voltage Cable Condition Detection Technology based on Wireless Sensor Network

Author 1: Yang Zhao Author 2: Qing Liu Author 3: Tong Shang Author 4: Yingqiang Shang Author 5: Rong Xia Author 6: Shuai Shao

The development and progress of modern society cannot be achieved without the support of electric power resources, and at present, electric power is the most important energy source to promote social development and maintain human life. As a key unit under the power distribution and transmission system, the high-voltage cable… Read full abstract & cite →

Wireless sensor high-voltage cable fault diagnosis particle swarm algorithm

Abstract doi.org/10.14569/IJACSA.2022.0131283 PDF

84

Research on the Application of Improved Decision Tree Algorithm based on Information Entropy in the Financial Management of Colleges and Universities

Author 1: Huirong Zhao

In the era of information technology, the work relies on information technology to generate a huge amount of data and information. Among them, the financial data information of universities is growing exponentially, and the manual method of organizing data and extracting key information can no longer meet the requirements of… Read full abstract & cite →

Information entropy financial management decision tree information gain rate C4.5 algorithm early warning structure

Abstract doi.org/10.14569/IJACSA.2022.0131284 PDF

85

A Semantic NoSQL Application Program Interface for Big Data

Author 1: K. ElDahshan Author 2: E. K. Elsayed Author 3: H. Mancy Author 4: A. AbuBakr

Complexity, heterogeneity, schemaless-ness, data visualization, and extraction of consistent knowledge from Big Data are the biggest challenges in NoSQL databases. This paper presents a general semantic NoSQL Application Program Interface that integrates and converts NoSQL databases to semantic representation. The generated knowledge base is suitable for visualization and knowledge extraction… Read full abstract & cite →

NoSQL database formatting semantic technology data integration pandemic prediction

Abstract doi.org/10.14569/IJACSA.2022.0131285 PDF

86

Big Data Application in Forecasting Financial Investment of e-Commerce Industry for Sustainability

Author 1: Yanfeng Zhang

With the rapid development of e-commerce, financial investment forecasting in the e-commerce industry has gradually become a concern of relevant personnel. Based on DBN, the study proposes a PVD prediction model. For training and test sample sets, the PLR_VIP algorithm is calculated and min-max normalization is applied to the original… Read full abstract & cite →

Stainable development big data E-commerce industry financial investment forecast deep belief network

Abstract doi.org/10.14569/IJACSA.2022.0131286 PDF

87

Embedded Monitoring Method of Greenhouse Environment based on Wireless Sensor Network

Author 1: Weixue Liu

Aiming at the problem of low accuracy of greenhouse environmental monitoring, an embedded monitoring method of greenhouse environment based on wireless sensor network is studied. The embedded microprocessor S3C2410 is selected as the control chip of greenhouse environmental monitoring. The wireless sensor network is composed of wireless detection node, sink… Read full abstract & cite →

Control chip Detection node embedded greenhouse environmental monitoring missing data wireless sensor networks

Abstract doi.org/10.14569/IJACSA.2022.0131287 PDF

88

Research on the Application of Virtual Technology-based Posture Detection Device in Swimming Teaching

Author 1: Hongming Guo Author 2: Jingang Fan

With the socio-economic development, the national demand for playing leisure sports has increased, and swimming is one of the popular choices. To help swimming beginners understand the correct swimming posture more quickly and directly, hybrid neural network algorithms based on sliding window detection and deep residual networks are designed in… Read full abstract & cite →

Virtual reality pose recognition swimming neural network sliding window

Abstract doi.org/10.14569/IJACSA.2022.0131288 PDF

89

Dynamic Force-directed Graph with Weighted Nodes for Scholar Network Visualization

Author 1: Khalid Al-Walid Mohd. Aris Author 2: Chitra Ramasamy Author 3: Teh Noranis Mohd. Aris Author 4: Maslina Zolkepli

Through the growth of portals and venues to publish academic publications, the number of academic publications is growing exponentially in recent years. An effective exploration and fast navigation in the collection of academic publications become an urgent need to help academic researchers find publications related to their research and the… Read full abstract & cite →

Force-directed graph weighted network citation network D3 algorithm

Abstract doi.org/10.14569/IJACSA.2022.0131289 PDF

90

The Role of Machine Learning in Remote Sensing for Agriculture Drought Monitoring: A Systematic Review

Author 1: Aries Suharso Author 2: Yeni Hediyeni Author 3: Suria Darma Tarigan Author 4: Yandra Arkeman

Agricultural drought is still difficult to anticipate even though there have been developments in remote sensing technology, especially satellite imagery that is useful for farmers in monitoring crop conditions. The availability of open and free satellite imagery still has a weakness, namely the level of resolution is low and coarse… Read full abstract & cite →

Drought monitoring exploration of the use of machine learning Landsat imagery remote sensing

Abstract doi.org/10.14569/IJACSA.2022.0131290 PDF

91

Research on Intellectual Dichotomiser 3 Decision Tree Algorithm Model for Financial Analysis of Colleges and Universities

Author 1: Sujuan Guo

The rapid development of college information construction has promoted the processing and analysis of a large number of data in the college system. Decision tree algorithm is often used in the field of financial data analysis, but it has a bias in the selection of attributes. Aiming at the defects… Read full abstract & cite →

Financial analysis ID3 Decision tree model colleges and universities machine learning

Abstract doi.org/10.14569/IJACSA.2022.0131291 PDF

92

Clustering-based Automated Requirement Trace Retrieval

Author 1: Nejood Hashim Al-walidi Author 2: Shahira Shaaban Azab Author 3: Abdelaziz Khamis Author 4: Nagy Ramadan Darwish

The benefits of requirement traceability are well known and documented. The traceability links between requirements and code are fundamental in supporting different activities in the software development process, including change management and software maintenance. These links can be obtained using manual or automatic means. Manual trace retrieval is a time-consuming… Read full abstract & cite →

Requirements traceability information retrieval term mismatch problem trace retrieval TraceLab clustering

Abstract doi.org/10.14569/IJACSA.2022.0131292 PDF

93

Application of Multi-Scale Convolution Neural Network Optimization Image Defogging Algorithm in Image Processing

Author 1: Weihan Zhu

To improve the ability to detect and identify smog images in complex road traffic scenes, smog images need to be defogged, and an optimized image defogging algorithm on the basis of multi-scale convolutional neural network (MCNN) is proposed. The physical model of road traffic scene smog scattering is constructed, and… Read full abstract & cite →

Multi-scale convolution neural network complex road traffic scene Image defogging dark passage Gray enhancement

Abstract doi.org/10.14569/IJACSA.2022.0131293 PDF

94

Data Clutter Reduction in Sampling Technique

Author 1: Nur Nina Manarina Jamalludin Author 2: Zainura Idrus Author 3: Zanariah Idrus Author 4: Ahmad Afif Ahmarofi Author 5: Jahaya Abdul Hamid Author 6: Nurul Husna Mahadzir

Visualization is a process of converting data into its visual form as such data patterns can be extracted from the data. Data patterns are knowledge hidden behind the data. However, when data is big, it tends to overlap and clutter on visualization which distorts the data patterns. Data is overly… Read full abstract & cite →

Sampling technique probability sampling non-probability sampling data clutter big data data visualization data reduction

Abstract doi.org/10.14569/IJACSA.2022.0131294 PDF

95

Research on the Optimization Problem of Agricultural Product Logistics based on Genetic Algorithm under the Background of Sharing Economy

Author 1: Na Wang

China’s national development and reform commission issued the “logistics industry adjustment and revitalization plan” in 2009 to support the development of agricultural product logistics and distribution centers. China’s agricultural product logistics and distribution have entered a stage of rapid development. With the rise of the sharing economy, logistics has become… Read full abstract & cite →

Sharing economy two-level programming genetic algorithm path optimization

Abstract doi.org/10.14569/IJACSA.2022.0131295 PDF

96

Application Research of Trademark Recognition Technology based on SIFT Feature Recognition Algorithm in Advertising Design

Author 1: Weina Zhang

Now-a-days, due to the sharp increase in the number of advertising designs, creative duplication is easy to occur in advertising design. If this situation is not discovered in time, it may cause legal disputes and cause damage to the reputation and property of the enterprise. In view of the above… Read full abstract & cite →

SIFT algorithm trademark recognition advertising design support vector machine principal component analysis

Abstract doi.org/10.14569/IJACSA.2022.0131296 PDF

97

Utilizing Deep Learning in Arabic Text Classification Sentiment Analysis of Twitter

Author 1: Nehad M. Ibrahim Author 2: Wael M. S. Yafooz Author 3: Abdel-Hamid M. Emara Author 4: Ahmed Abdel-Wahab

The number of social media users has increased. These users share and reshare their ideas in posts and this information can be mined and used by decision-makers in different domains, who analyse and study user opinions on social media networks to improve the quality of products or study specific phenomena… Read full abstract & cite →

Arabic sentiment analysis machine learning convolutional neural networks word embedding Arabic word2Vec long short-term method AraBERT

Abstract doi.org/10.14569/IJACSA.2022.0131297 PDF

98

Synthesis of Comments to Social Media Posts for Business Applications

Author 1: Peter Adebowale Olujimi Author 2: Abejide Ade-Ibijola

Responding to enormous comments on social media platforms is one major challenge facing businesses in recent times, especially when dealing with irate consumers. Customers have increasingly adopted social networks as a platform for expressing their concerns and posting comments on business pages, posing a great challenge for customer support agents… Read full abstract & cite →

Natural language comprehension social media natural language processing customer engagements artificial intelligence comment generation

Abstract doi.org/10.14569/IJACSA.2022.0131298 PDF

99

PDE: A Real-Time Object Detection and Enhancing Model under Low Visibility Conditions

Author 1: Zhiying Li Author 2: Shuyuan Lin Author 3: Zhongming Liang Author 4: Yongjia Lei Author 5: Zefan Wang Author 6: Hao Chen

Deep object detection models are important tools that can accurately detect objects and frame them for the user in real time. However, in low visibility conditions, such as fog or low light conditions, the captured images are underexposed and blurred, which negatively affects the recognition accuracy and is not well… Read full abstract & cite →

Low-visibility condition image enhance object detection

Abstract doi.org/10.14569/IJACSA.2022.0131299 PDF

100

Design and Implementation of an Unreal Engine 4-Based Smart Traffic Control System for Smart City Applications

Author 1: Md. Imtiaz Hossain Subree Author 2: Md. Rakib Hasan Author 3: Maksuda Haider Sayma

Traffic congestion is a serious problem nowadays, especially in Dhaka city. With the increasing population and automation, it has become one of the most critical issues in our country. There can be a lot of causes of congestion in traffic, such as insufficient capacity, large red signal delay, unrestrained demand… Read full abstract & cite →

Traffic control system traffic congestion CCTV image processing simulation

Abstract doi.org/10.14569/IJACSA.2022.01312100 PDF

101

Emotion Detection from Text and Sentiment Analysis of Ukraine Russia War using Machine Learning Technique

Author 1: Abdullah Al Maruf Author 2: Zakaria Masud Ziyad Author 3: Md. Mahmudul Haque Author 4: Fahima Khanam

In the human body, emotion plays a critical func-tion. Emotion is the most significant subject in human-machine interaction. In economic contexts, emotion detection is equally essential. Emotion detection is crucial in making any decision. Several approaches were explored to determine emotion in text. People increasingly use social media to share… Read full abstract & cite →

Emotion detection racism sentiment analysis social media machine learning ensemble Ukraine-Russia

Abstract doi.org/10.14569/IJACSA.2022.01312101 PDF

102

An Analytical Model of Induction Motors for Rotor Slot Parametric Design Performance Evaluation

Author 1: Ahamed Ibrahim Sithy Juhaniya Author 2: Ahmad Asrul Ibrahim Author 3: Muhammad Ammirrul Atiqi Mohd Zainuri Author 4: Mohd Asyraf Zulkifley

Induction motors are commonly used in most elec-tricity generation due to their low investment cost. However, the performance of the induction motors for different applications highly depends on rotor design and machine geometry. For example, changing rotor bar height and width varies the rotor resistance and reactance, thereby leading to… Read full abstract & cite →

Analytical model efficiency induction motor rotor slot parameters

Abstract doi.org/10.14569/IJACSA.2022.01312102 PDF

103

BBVD: A BERT-based Method for Vulnerability Detection

Author 1: Weichang Huang Author 2: Shuyuan Lin Author 3: Chen Li

Software vulnerability detection is one of the key tasks in the field of software security. Detecting vulnerability in the source code in advance can effectively prevent malicious attacks. Traditional vulnerability detection methods are often ineffective and inefficient when dealing with large amounts of source code. In this paper, we present… Read full abstract & cite →

Vulnerability detection BERT software security

Abstract doi.org/10.14569/IJACSA.2022.01312103 PDF

104

Hybrid Deep Learning Architecture for Land Use: Land Cover Images Classification with a Comparative and Experimental Study

Author 1: Salhi Wiam Author 2: Tabiti Khouloud Author 3: Honnit Bouchra Author 4: SAIDI Mohamed Nabil Author 5: KABBAJ Adil

Deep Learning algorithms have become more popular in computer vision, especially in the image classification field. This last has many applications such as moving object detection, cancer detection, and the classification of satellite images, also called images of land use-land cover (LULC), which are the scope of this paper. It… Read full abstract & cite →

Deep Learning image classification land use-land cover MobileNet ResNet satellite images

Abstract doi.org/10.14569/IJACSA.2022.01312104 PDF

105

A Real-Time Open Public Sources Text Analysis System

Author 1: Chi Mai Nguyen Author 2: Phat Trien Thai Author 3: Van Tuan Nguyen Author 4: Duy Khang Lam

With the emergence of digital newspapers and social media, one can easily suffer from information overload. The enormous amount of data they provide has created several new challenges for computational and data mining, especially in the natural language processing field. Many pieces of research focusing on the information extraction process… Read full abstract & cite →

Named entity recognition entity linking text analysis system data mining natural language processing

Abstract doi.org/10.14569/IJACSA.2022.01312105 PDF

106

Analysis of EEG Signals in a Patient with Spastic Cerebral Palsy Undergone Dolphin-Assisted Therapies

Author 1: Oswaldo Morales Matamoros Author 2: Erika Yolanda Aguilar del Villar Author 3: Abril P´erez S´anchez Author 4: Jes´us Jaime Moreno Escobar Author 5: Ricardo Tejeida Padilla

Cerebral palsy is a group of developmental disorders that affects a certain percentage of population motivating the development of several types of therapies ranging from conventional where physical therapies are included to some alternative therapies such as the dolphin-assisted therapies (DAT), in order to improve the quality of life of… Read full abstract & cite →

Brain–computer interfaces healthcare system non-linear dynamics assisted therapies infantile spastic cerebral palsy analysis of EEG signals power spectrum self-affine analysis

Abstract doi.org/10.14569/IJACSA.2022.01312106 PDF

107

Dynamic Light Settings as Data Augmentations for Automated Scratch Detection

Author 1: GRAVE Valentin Author 2: FUKUDA Osamu Author 3: YEOH Wen Liang Author 4: OKUMURA Hiroshi Author 5: YAMAGUCHI Nobuhiko

The manufacture of plastic parts requires a rigorous visual examination of its production to avoid the shipment of some that would be defective to its customers. In an attempt to ease the detection of scratches on plastic parts, the prototype of a computer-assisted visual inspection system was developed. The aim… Read full abstract & cite →

Augmentation technique deep neural network im-age processing light emission object detection

Abstract doi.org/10.14569/IJACSA.2022.01312107 PDF

108

Multi-Task Multi-User Offloading in Mobile Edge Computing

Author 1: Nouhaila Moussammi Author 2: Mohamed El Ghmary Author 3: Abdellah Idrissi

Mobile Edge Computing (MEC) is a new method to overcome the resource limitations of mobile devices by enabling Computation Offloading (CO) with low latency. This paper proposes a multi-user multi-task effective system to offload com-putations for MEC that guarantees in terms of energy, latency for MEC. To begin, radio and… Read full abstract & cite →

Time execution energy consumption computation offloading mobile edge computing

Abstract doi.org/10.14569/IJACSA.2022.01312108 PDF

109

Performance Comparison of Multiple Neural Networks for Fault Detection of Sensors Array in Oil Heating Reactor

Author 1: Mai Mustafa Author 2: Sawsan Morkos Gharghory Author 3: Hanan Ahmed Kamal

Fault detection is an important issue for early failure revelation and machine components preserving before the damage. The processes of fault detection, diagnosis and correction especially in oil heating reactor sensors are among the most crucial steps for reliable and proper operation inside the reactor.The fault detection in sensors array… Read full abstract & cite →

Fault detection sensor array oil heater reactor confusion matrix neural network recurrent neural network con-volution neural network bidirectional short term memory

Abstract doi.org/10.14569/IJACSA.2022.01312109 PDF

110

The Impact of Peer Code Review on Software Maintainability in Open-Source Software: A Case Study

Author 1: Aziz Nanthaamornphong Author 2: Thanyarat Kitpanich

Recently, open-source software (OSS) has become a considerably popular and reliable source of functionality corrections. OSS also allows software developers to reduce technical debt in software development. However, previous studies have shown that the main problem within OSS development is the lack of systematic processes and formal documents related to… Read full abstract & cite →

Open-source software software maintainability code review

Abstract doi.org/10.14569/IJACSA.2022.01312110 PDF

111

Bi-LSTM Model to Recognize Human Activities in UAV Videos using Inflated I3D-ConvNet

Author 1: Sireesha Gundu Author 2: Hussain Syed

Human activity recognition in aerial videos is an emerging research area. In this paper, an Inflated I3D-ConvNet (Inflated I3D) and Bidirectional Long Short-Term Memory (Bi-LSTM) based human action recognition model in UAV videos have been proposed. The initial module was pre-trained using the Kinetics-400 video dataset, which consisted of 400… Read full abstract & cite →

2D-ConvNet Bi-LSTM drone-action inception-V1 inflated I3D-ConvNet Kinetics-400

Abstract doi.org/10.14569/IJACSA.2022.01312111 PDF

112

Aspect-based Sentiment Analysis for Bengali Text using Bidirectional Encoder Representations from Transformers (BERT)

Author 1: Moythry Manir Samia Author 2: Alimul Rajee Author 3: Md. Rakib Hasan Author 4: Mohammad Omar Faruq Author 5: Pintu Chandra Paul

Public opinion is important for decision-making on numerous occasions for national growth in democratic countries like Bangladesh, the USA, and India. Sentiment analysis is a technique used to determine the polarity of opinions expressed in a text. The more complex stage of sentiment analysis is known as Aspect-Based Sentiment Analysis… Read full abstract & cite →

Sentiment analysis Bengali sentiment analysis Aspect-Based Sentiment Analysis (ABSA) Bengali ABSA deep learning Bidirectional Encoder Representations from Transformers (BERT)

Abstract doi.org/10.14569/IJACSA.2022.01312112 PDF

113

Drought Forecasting in Alibori Department in Benin using the Standardized Precipitation Index and Machine Learning Approaches

Author 1: Rodrigue B. W. VODOUNON Author 2: Henoc SOUDE Author 3: Oss´enatou MAMADOU

Drought forecasting provides an early warning for the effective management of water resources to avoid or mitigate drought damage. In this study, the prediction of droughts is carried out in the department of Alibori in Benin republic using the standardized precipitation index (SPI) where two Machine Learning approaches were used… Read full abstract & cite →

Droughts forecasting machine learning SPI

Abstract doi.org/10.14569/IJACSA.2022.01312113 PDF

114

Smart Monitoring System using Internet of Things: Application for Agricultural Management in Benin

Author 1: P´elagie HOUNGUE Author 2: Romaric SAGBO Author 3: Gilles DAHOUE Author 4: Julien KOMACLO

One of the major tools of the new era of digital transformation is Internet of Things (IoT) through which, one can look forward to exploring the new technologies in the digital world as well as how they help in improving the real world. This work provides an overview of the… Read full abstract & cite →

Monitoring system agricultural space machine learning herds passage motion detection

Abstract doi.org/10.14569/IJACSA.2022.01312114 PDF

115

Measurement Tool for Exposure Techniques in X-ray Ionizing Radiation Equipment

Author 1: Edwin Arley Cortes Puentes Author 2: Andres Gomez Rodriguez Author 3: Fernando Martinez Santa

This article shows the development of an instrument for measuring the exposure parameters used to take radiographic studies in living beings; such as kilovoltage, current and time, since radiation protection is a fundamental pillar in the care of patients and operators of ionizing radiation equipment, it is necessary to calibrate… Read full abstract & cite →

Voltage current X-Ray kVp mA mAs radiation ESP32 OLED microcontroller

Abstract doi.org/10.14569/IJACSA.2022.01312115 PDF

116

Encrypted Storage Method of Oral English Teaching Resources based on Cloud Platform

Author 1: Tongsheng Si

With the development of the times, the secure storage of educational resources has become one of the key security problems faced by colleges and universities. On the one hand, the cost of traditional resource storage is too expensive, on the other hand, its encryption and access efficiency are low. To… Read full abstract & cite →

Cloud platform oral language encryption resource storage

Abstract doi.org/10.14569/IJACSA.2022.01312116 PDF

117

Denoising Method of Interior Design Image based on Median Filtering Algorithm

Author 1: Tao Li

Interior design image generation process is prone to the interference of many factors, resulting in the interior design image denoising effect decreases, denoising time increases, so the interior design image denoising method based on median filtering algorithm is proposed. The architecture of interior design image collection is set up, including… Read full abstract & cite →

Median filtering algorithm interior design image denoising image acquisition architecture the rough set

Abstract doi.org/10.14569/IJACSA.2022.01312117 PDF

118

Application of CAD Aided Intelligent Technology in Landscape Design

Author 1: Juan Du

The current landscape design methods ignore the depth rendering of scene elements, resulting in low spatial utilization of landscape plant diversity index and landscape spatial pattern. Therefore, this study explores the application of CAD in landscape design. AutoCAD aided intelligent technology is adopted to display the scene in multiple directions… Read full abstract & cite →

Landscape design CAD intelligent technology engine rendering image library function 3D visual reconstruction；digital design landscape architecture

Abstract doi.org/10.14569/IJACSA.2022.01312118 PDF

119

Filtering and Enhancement Method of Ancient Architectural Decoration Image based on Neural Network

Author 1: Yanan Wang

Due to poor ambient light or uneven lighting, the old decoration image acquisition methods are easy to cause the image blur. To solve this problem, this paper proposes a neural network-based filtering enhancement method for ancient architectural decoration images, which preserves image details by enhancing contrast, smoothing noise reduction and… Read full abstract & cite →

Neural network decorative images of ancient buildings filter enhancement method encoder decoder pixel gray value

Abstract doi.org/10.14569/IJACSA.2022.01312119 PDF

120

A Neural Network-Based Algorithm for Weak Signal Enhancement in Low Illumination Images

Author 1: Dawei Yin Author 2: Jianwei Li

There is noise interference in low-illumination images, which makes it difficult to extract weak signals. For this reason, this paper proposes a low-illumination image weak signal enhancement algorithm based on neural network. Multi-scale normalization is performed on low-light images, and multi-scale Retinex is used to enhance weak signals in low-light… Read full abstract & cite →

Artificial neural network GAN neural network low-light image weak signal enhancement

Abstract doi.org/10.14569/IJACSA.2022.01312120 PDF

121

Digital Intelligent Management Platform for High-Rise Building Construction Based on BIM Technology

Author 1: Rui Deng Author 2: Chun’e Li

In this study, the digital intelligent management platform of high-rise building construction based on BIM technology is used for real-time monitoring and management of construction progress and quality. In the data acquisition and processing layer, construction site data is obtained through RFID technology. After processing such as cleaning and integration… Read full abstract & cite →

BIM technology high-rise building construction digitization intelligent management BIM model RFID technology

Abstract doi.org/10.14569/IJACSA.2022.01312121 PDF

122

Research on Key Technologies of Smart City Building Interior Decoration Construction based on In-Depth Learning

Author 1: Li Zhang Author 2: Aimin Qin

The intelligentization of building interior decoration construction is of great significance to the construction of smart city, and robot automation has brought an opportunity for this. Robot self-decoration is the development trend in the future. One of the key issues involved, is the self-planning of mobile path. In this regard… Read full abstract & cite →

Interior decoration path planning deep reinforcement learning reward function credit allocation

Abstract doi.org/10.14569/IJACSA.2022.01312122 PDF

123

Research on Face Recognition Technology of Subway Automatic Ticketing System based on Neural Network and Deep Learning

Author 1: Shuang Wu Author 2: Xin Lin Author 3: Tong Yao

Face recognition technology is the core technology of the subway ticketing system, which is related to the efficiency of people's ticket purchase. In order to improve people's experience of taking public transport, it is necessary to improve the performance of face recognition technology. In this study, the Back Propagation (BP)… Read full abstract & cite →

Automatic ticketing system BP CNN deep learning face recognition SphereFac SoftMax classifier

Abstract doi.org/10.14569/IJACSA.2022.01312123 PDF

124

Research on Improved Xgboost Algorithm for Big Data Analysis of e-Commerce Customer Churn

Author 1: Li Li

With the increasing cost of acquiring new users for e-commerce enterprises, it has become an important task for e-commerce enterprises to actively carry out customer churn management. Therefore, based on the distributed gradient enhancement library algorithm (XGBoost), this research proposes a big data analysis study on e-commerce customer churn. First… Read full abstract & cite →

E-commerce customer churn random Forest XGBoost big data

Abstract doi.org/10.14569/IJACSA.2022.01312124 PDF