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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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IJACSA Vol. 12 Issue 1 (2021)

Open Access | | 80 papers

Copyright Statement: This is an open access publication licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

1

A Novel Traffic Shaping Algorithm for SDN-Sliced Networks using a New WFQ Technique

Author 1: Ronak Al-Haddad Author 2: Erika Sanchez Velazquez Author 3: Arooj Fatima Author 4: Adrian Winckles

Managing traditional networks comes with number of challenges due to their limitations, in particular, because there is no central control. Software-Defined Networking (SDN) is a relatively new idea in networking, which enables networks to be centrally controlled or programmed using software applications. Novel traffic shaping (TS) algorithms are proposed for… Read full abstract & cite →

Network congestion SDN slicing QoS queueing OpenFlow (OF) Weighted Fair Queuing (WFQ) SPSS Analysis of Variance (ANOVA)
2

Human-Robot Interaction and Collaboration (HRI-C) Utilizing Top-View RGB-D Camera System

Author 1: Tariq Tashtoush Author 2: Luis Garcia Author 3: Gerardo Landa Author 4: Fernando Amor Author 5: Agustin Nicolas Laborde Author 6: Damian Oliva Author 7: Felix Safar

In this study, a smart and affordable system that utilizes an RGB-D camera to measure the exact position of an operator with respect to an adjacent robotic manipulator was developed. This developed technology was implemented in a simulated human operation in an automated manufacturing robot to achieve two goals; enhancing… Read full abstract & cite →

Robotics manipulator robot end-effector computer vision human-robot interaction (HRI) human-robot collaboration (HRC) robotics safety scorbot Kinect RGB camera industrial system modeling manufacturing systems design
3

Application-based Evaluation of Automatic Terminology Extraction

Author 1: Marija Brkic Bakaric Author 2: Nikola Babic Author 3: Maja Matetic

The aim of this paper is to evaluate performance of several automatic term extraction methods which can be easily utilized by translators themselves. The experiments are conducted on German newspaper articles in the domain of politics on the topic of Brexit. However, they can be easily replicated on any other… Read full abstract & cite →

Terminology extraction hybrid methods evaluation precision recall gold standard language resources
4

Deep Learning Architectures and Techniques for Multi-organ Segmentation

Author 1: Valentin Ogrean Author 2: Alexandru Dorobantiu Author 3: Remus Brad

Deep learning architectures used for automatic multi-organ segmentation in the medical field have gained increased attention in the last years as the results and achievements outweighed the older techniques. Due to improvements in the computer hardware and the development of specialized network designs, deep learning segmentation presents exciting developments and… Read full abstract & cite →

Deep Learning Multi-Organ Segmentation Fully Convolutional Neural Networks (FCNs) Generative Adversarial Networks (GANs) Recurrent Neural Networks (RNNs)
5

Development of a Physical Impairment Prediction Model for Korean Elderly People using Synthetic Minority Over-Sampling Technique and XGBoost

Author 1: Haewon Byeon

The old people's 'physical functioning' is a key factor of active ageing as well as a major factor in determining the quality of life and the need for long-term care in old age. Previous studies that identified factors related to ADL mostly used regression analysis to predict groups of high… Read full abstract & cite →

Random forest XGBoost GBM gradient boosting machine physical impairment prediction model
6

Data-Forensic Determination of the Accuracy of International COVID-19 Reporting: Using Zipf’s Law for Pandemic Investigation

Author 1: Aamo Iorliam Author 2: Anthony T S Ho Author 3: Santosh Tirunagari Author 4: David Windridge Author 5: Adekunle Adeyelu Author 6: Samera Otor Author 7: Beatrice O. Akumba

Severe outbreaks of infectious disease occur throughout the world with some reaching the level of international pandemic: Coronavirus (COVID-19) is the most recent to do so. In this paper, a mechanism is set out using Zipf’s law to establish the accuracy of international reporting of COVID-19 cases via a determination… Read full abstract & cite →

COVID-19 power-law pandemic Zipf’s Law WHO
7

Clustering K-Means Algorithms and Econometric Lethality Model by Covid-19, Peru 2020

Author 1: Javier Pedro Flores Arocutipa Author 2: Jorge Jinchuña Huallpa Author 3: Gamaniel Carbajal Navarro Author 4: Luís Delfín Bermejo Peralta

Objective: The study looks at how the Covid-19 wave was in Peru, where and when it begins, where and when it culminates. As it faced, the shortcomings that were detected and especially that very little could be done to confront the disease as an emerging country. The wave began in… Read full abstract & cite →

Infected lethality COVID 19 cycle razing
8

Optimize the Cost of Resources in Federated Cloud by Collaborated Resource Provisioning and Most Cost-effective Collated Providers Resource First Algorithm

Author 1: V Pradeep Kumar Author 2: Kolla Bhanu Prakash

Cloud Computing works as the best solution for providing many of its services for cloud consumer agents with different requests for huge computational VM's with large storage capacity. The instance requests of cloud consumers will dynamically change as per their usage of application requirements with the demand for business growth… Read full abstract & cite →

Cloud computing federated cloud collaborated resource provisioning optimized cost
9

Impact of Artificial Intelligence-enabled Software-defined Networks in Infrastructure and Operations: Trends and Challenges

Author 1: Mohammad Riyaz Belgaum Author 2: Zainab Alansari Author 3: Shahrulniza Musa Author 4: Muhammad Mansoor Alam Author 5: M. S. Mazliham

The emerging technologies trending up in information and communication technology are tuning the enterprises for betterment. The existing infrastructure and operations (I&O) are supporting enterprises with their services and functionalities, considering the diverse requirements of the end-users. However, they are not free of the challenges and issues to address as… Read full abstract & cite →

Artificial intelligence infrastructure and operations software-defined network virtualization
10

Predicting the Depression of the South Korean Elderly using SMOTE and an Imbalanced Binary Dataset

Author 1: Haewon Byeon

Since the number of healthy people is much more than that of ill people, it is highly likely that the problem of imbalanced data will occur when predicting the depression of the elderly living in the community using big data. When raw data are directly analyzed without using supplementary techniques… Read full abstract & cite →

Random forests gradient boosting machine SMOTE undersampling imbalanced data oversampling
11

Validation of the Components and Elements of Computational Thinking for Teaching and Learning Programming using the Fuzzy Delphi Method

Author 1: Karimah Mohd Yusoff Author 2: Noraidah Sahari Ashaari Author 3: Tengku Siti Meriam Tengku Wook Author 4: Noorazean Mohd Ali

Computational Thinking is a phrase employed to explain the developing concentration on students' knowledge development regarding designing computational clarifications to problems, algorithmic Thinking, and coding. The difficulty of learning computer programming is a challenge for students and teachers. Students' ability in programming is closely related to their problem-solving skills and… Read full abstract & cite →

Expert consensus focus group problem-solving components elements
12

Ground Control Point Generation from Simulated SAR Image Derived from Digital Terrain Model and its Application to Texture Feature Extraction

Author 1: Kohei Arai

Ground Control Point: GCP generation from simulated topographic map derived from Digital Terrain Model: DTM is proposed. Also, texture feature extraction is attempted from the simulated image. In this study, simulated image is derived from elevation data only, under assumptions of a simple scattering model without consideration of complex dielectric… Read full abstract & cite →

Ground Control Point: GCP Digital Terrain Model: DTM scattering model complex dielectric constant texture feature matching success rate GCP chip
13

Modeling of the Factors Affecting e-Commerce Use in Turkey by Categorical Data Analysis

Author 1: Ömer Alkan Author 2: Hasan Küçükoglu Author 3: Gökhan Tutar

e-Commerce use is a subject of study that has been frequently discussed in recent years. The aim of this study was to detect the socio-demographic and economic factors affecting e-commerce use of individuals in Turkey. The micro dataset obtained from Information and Communication Technology (ICT) Usage Survey in Households performed… Read full abstract & cite →

Electronic commerce online shopping online purchase e-commerce Turkey multinomial probit regression
14

Customer Profiling for Malaysia Online Retail Industry using K-Means Clustering and RM Model

Author 1: Tan Chun Kit Author 2: Nurulhuda Firdaus Mohd Azmi

Malaysia's online retail industry is growing sophisticated for the past years and is not expected to stop growing in the following years. Meanwhile, customers are becoming smarter about buying. Online Retailers have to identify and understand their customer needs to provide appropriate services/products to the demanding customer and attracting new… Read full abstract & cite →

Customer Profiling LRFMP RFM Data Mining K-Means Clustering
15

Amalgamation of Machine Learning and Slice-by-Slice Registration of MRI for Early Prognosis of Cognitive Decline

Author 1: Manju Jain Author 2: C.S. Rai Author 3: Jai Jain Author 4: Deepak Gambhir

Brain atrophy is the degradation of brain cells and tissues to the extent that it is clearly indicative during Mini-Mental State Exam test and other psychological analysis. It is an alarming state of the human brain that progressively results in Alzheimer disease which is not curable. But timely detection of… Read full abstract & cite →

Brain atrophy registration Freesurfer GLCM texture features FDR decision support system SVM AdaBoost Randomforest Bagging KNN Naive Bayes classification hyperparameters GridsearchCV Sklearn Python
16

Full Direction Local Neighbors Pattern (FDLNP)

Author 1: Maher Alrahhal Author 2: Supreethi K.P

In this paper, we proposed the Full Direction Local Neighbor Pattern (FDLNP) algorithm, which is a novel method for Content-Based Image Retrieval. FDLNP consists of many steps, starting from generating Max and Min Quantizers followed by building two matrix types (the Eight Neighbors Euclidean Decimal Coding matrix, and Full Direction… Read full abstract & cite →

Content-Based image retrieval full direction local neighbor patterns local neighbor pattern gray-level co-occurrence matrix ensemble classifiers k-means clustering hadoop
17

Stanza Type Identification using Systematization of Versification System of Hindi Poetry

Author 1: Milind Kumar Audichya Author 2: Jatinderkumar R. Saini

Poetry covers a vast part of the literature of any language. Similarly, Hindi poetry is also having a massive portion in Hindi literature. In Hindi poetry construction, it is necessary to take care of various verse writing rules. This paper focuses on the automatic metadata generation from such poems by… Read full abstract & cite →

Chhand computational linguistics Hindi metadata poetry prosody stanza verse
18

Detection and Recognition of Moving Video Objects: Kalman Filtering with Deep Learning

Author 1: Hind Rustum Mohammed Author 2: Zahir M. Hussain

Research in object recognition has lately found that Deep Convolutional Neuronal Networks (CNN) provide a breakthrough in detection scores, especially in video applications. This paper presents an approach for object recognition in videos by combining Kalman filter with CNN. Kalman filter is first applied for detection, removing the background and… Read full abstract & cite →

Convolution Neural Network (CNN) Kalman filter moving object video tracking
19

Performance Evaluation of Different Mobile Ad-hoc Network Routing Protocols in Difficult Situations

Author 1: Sultan Mohammed Alkahtani Author 2: Fahd Alturki

Performance evaluation of Mobile Ad-hoc Network (MANET) routing protocols is essential for selecting the appropriate protocol for the network. Many routing protocols and different simulation tools were proposed to address this task. This paper will introduce an overview of MANETs routing protocols as well as evaluate MANET performance by using… Read full abstract & cite →

Ad-hoc network performance evaluation network simulation MANET DSR AODV DYMO routing protocols Omnet++
20

The Design and Implementation of Mobile Heart Monitoring Applications using Wearable Heart Rate Sensor

Author 1: Ummi Namirah Hashim Author 2: Lizawati Salahuddin Author 3: Raja Rina Raja Ikram Author 4: Ummi Rabaah Hashim Author 5: Ngo Hea Choon Author 6: Mohd Hariz Naim Mohayat

Heart monitoring is important to deter any catastrophic because of heart failure that may happen. Continuous real-time heart monitoring could prevent sudden death due to heart attack. Nevertheless, the major challenge associated with continuous heart monitoring in the traditional approach is to undertake regular medical check-ups at the hospital or… Read full abstract & cite →

Personalized healthcare heart monitoring wearable sensor mobile android
21

A Survey on Junction Selection based Routing Protocols for VANETs

Author 1: Irshad Ahmed Abbasi Author 2: Elfatih Elmubarak Mustafa

Objectives: To compare significant position-based routing protocols based on their underlying techniques such as junction selection mechanisms that provide vehicle-to-vehicle communications in city scenarios. Background: Vehicular Adhoc Network is the most significant offshoot of Mobile Adhoc Networks which is capable of organizing itself in an infrastructure-less environment. The network builds… Read full abstract & cite →

Position-based inter-vehicular urban scenario algorithms reliability
22

Design of a Rule-based Personal Finance Management System based on Financial Well-being

Author 1: Alhanoof Althnian

Financial planning plays an important role in people’s lives. The recent COVID-19 outbreak has caused sudden unemployment for many people across the globe, leaving them with a financial crisis. Recent surveys indicate that financial matters continue as the leading cause of stress for employees. Further, many millennials overspend and make… Read full abstract & cite →

Artificial intelligence rule-based deductive reasoning forward chaining personal finance financial well-being
23

Robust Control Approach of SISO Coupled Tank System

Author 1: Mohd Hafiz Jali Author 2: Ameelia Ibrahim Author 3: Rozaimi Ghazali Author 4: Chong Chee Soon Author 5: Ahmad Razif Muhammad

This paper presents the design principles of sliding mode controller, which is implemented in the coupled tank system. The Sliding Mode Control (SMC) controller exhibited a robust stability which can overcome nonlinearities, reduce disturbances and noise that occur in the coupled tank system. The work start with mathematical modelling the… Read full abstract & cite →

Sliding Mode Control PID controller robustness coupled tank system
24

Text Coherence Analysis based on Misspelling Oblivious Word Embeddings and Deep Neural Network

Author 1: Md. Anwar Hussen Wadud Author 2: Md. Rashadul Hasan Rakib

Text coherence analysis is the most challenging task in Natural Language Processing (NLP) than other subfields of NLP, such as text generation, translation, or text summarization. There are many text coherence methods in NLP, most of them are graph-based or entity-based text coherence methods for short text documents. However, for… Read full abstract & cite →

Coherence analysis deep neural network distributional representation misspellings NLP word embedding
25

Comprehensive Multilayer Convolutional Neural Network for Plant Disease Detection

Author 1: Radhika Bhagwat Author 2: Yogesh Dandawate

Agriculture has a dominant role in the world’s economy. However, losses due to crop diseases and pests significantly affect the contribution made by the agricultural sector. Plant diseases and pests recognized at an early stage can help limit the economic losses in agriculture production around the world. In this paper… Read full abstract & cite →

Crop diseases plant disease detection hyperparameters deep learning convolutional neural network
26

Personalized Book Recommendation System using Machine Learning Algorithm

Author 1: Dhiman Sarma Author 2: Tanni Mittra Author 3: Mohammad Shahadat Hossain

As the amounts of online books are exponentially increasing due to COVID-19 pandemic, finding relevant books from a vast e-book space becomes a tremendous challenge for online users. Personal recommendation systems have been emerged to conduct effective search which mine related books based on user rating and interest. Most of… Read full abstract & cite →

Personalize book recommendation recommendation system clustering machine learning
27

Learning Management System based on Machine Learning: The Case Study of Ha'il University - KSA

Author 1: Mohamed Hédi Maâloul Author 2: Younès Bahou

Online learning environments have become an established presence in higher education in the Kingdom of Saudi Arabia, especially with the expected of Covid-19 pandemic. At present, supporting e-learning with interactive virtual campuses is a future aim in education. In order to solve the problems of the interactivity and the adaptability… Read full abstract & cite →

Learning management systems blackboard machine learning semi-supervised learning personalization system SPS System user profile social profile
28

Using IndoWordNet for Contextually Improved Machine Translation of Gujarati Idioms

Author 1: Jatin C. Modh Author 2: Jatinderkumar R. Saini

Gujarati language is the Indo-Aryan language spoken by the Gujaratis, the people of the state of Gujarat of India. Gujarati is the one of the 22 official languages recognized by the Indian government. Gujarati script was adopted from Devanagari script. Approximately 3000 idioms are available in Gujarati language. Machine translation… Read full abstract & cite →

Contextual information Gujarati idiom IndoWordNet Machine Translation System (MTS) n-gram model
29

“iSAY”: Blockchain-based Intelligent Polling System for Legislative Assistance

Author 1: Deshan Wattegama Author 2: Pasindu S.Silva Author 3: Chamika R. Jayathilake Author 4: Kalana Elapatha Author 5: Kavinga Abeywardena Author 6: N. Kuruwitaarachchi

“iSAY”' is a Blockchain-based polling system created for legislative assistance. Sri Lanka is a democratic country. Country follows a representative democracy and voters in Sri Lanka vote for their preferred government based on their election mandate. However, governments implement legislative decisions that are not stated in the election mandate. People… Read full abstract & cite →

Blockchain machine learning distributed systems e-voting legislative assistance liquid democracy natural language processing
30

Modeling the Estimation Errors of Visual-based Systems Developed for Vehicle Speed Measurement

Author 1: Abdulrazzaq Jawish Alkherret Author 2: Musab AbuAddous

This paper aims to modeling the relationship between the error of visual-based systems developed for vehicle speed estimation (as dependent variable) and each of the detection region length, the camera angle, and the volume-to-capacity ratio (V/C), as independent variables. Simulation software (VISSIM) is used to generate a set of video… Read full abstract & cite →

Intelligent transportation systems image processing vehicle detection vehicle tracking speed estimation traffic simulation linear regression analysis
31

Characterization of Quaternary Deposits in the Bou Ahmed Coastal Plain (Chefchaouen, Morocco): Contribution of Electrical Prospecting

Author 1: Yassyr Draoui Author 2: Fouad Lahlou Author 3: Imane Al Mazini Author 4: Jamal Chao Author 5: Mohamed Jalal El Hamidi

The Bou Ahmed plain, which is part of the internal area of the Rif, is located along the Mediterranean coast, 30 kilometers of Oued Laou town. This basin is made up by a quaternary filling mainly formed by detrital fluvial facies, channeled conglomerates surmounted by fluvial sand interlayered with pebbles… Read full abstract & cite →

Bou Ahmed plain hydrogeological units reservoir geometry vertical electrical sounding surveys geographic information system quaternary deposits
32

BiDETS: Binary Differential Evolutionary based Text Summarization

Author 1: Hani Moetque Aljahdali Author 2: Ahmed Hamza Osman Ahmed Author 3: Albaraa Abuobieda

In extraction-based automatic text summarization (ATS) applications, feature scoring is the cornerstone of the summarization process since it is used for selecting the candidate summary sentences. Handling all features equally leads to generating disqualified summaries. Feature Weighting (FW) is an important approach used to weight the scores of the features… Read full abstract & cite →

Differential evolution text summarization PSO GA evolutionary algorithms optimization techniques feature weighting ROUGE DUC
33

Semi-Direct Routing Approach for Mobile IP

Author 1: Basil Al-Kasasbeh

The Mobile IP (MIP) protocol is used to maintain device connectivity while the device is moving between networks through a permanent IP address and temporary care-of-address (CoA). There are two techniques to implement MIP; these are direct and indirect. The indirect is commonly used in the current industry due to… Read full abstract & cite →

Mobile IP direct routing indirect routing care-of address home agent foreign agent
34

An Automated Convolutional Neural Network Based Approach for Paddy Leaf Disease Detection

Author 1: Md. Ashiqul Islam Author 2: Md. Nymur Rahman Shuvo Author 3: Muhammad Shamsojjaman Author 4: Shazid Hasan Author 5: Md. Shahadat Hossain Author 6: Tania Khatun

Bangladesh and India are significant paddy-cultivation countries in the globe. Paddy is the key producing crop in Bangladesh. In the last 11 years, the part of agriculture in Bangladesh's Gross Domestic Product (GDP) was contributing about 15.08 percent. But unfortunately, the farmers who are working so hard to grow this… Read full abstract & cite →

Paddy leaf disease deep convolutional neural network (DNN) transfer learning VGG-19 ResNet-101 Inception-ResNet-V2 Xception
35

Quantification of Surface Water-Groundwater Exchanges by GIS Coupled with Experimental Gauging in an Alluvial Environment

Author 1: Yassyr Draoui Author 2: Fouad Lahlou Author 3: Jamal Chao Author 4: Lhoussaine El Mezouary Author 5: Imane Al Mazini Author 6: Mohamed Jalal El Hamidi

Surface water and groundwater are two interrelated components, where the influence of one automatically affects the quantity and quality of the other. These exchange flows are robustly influenced by some mechanisms such as permeability, lithological nature of the soil, landscape, in addition to the difference between the hydrometric height of… Read full abstract & cite →

Surface water and groundwater river-groundwater exchanges geographic information system differential gauging
36

Simplified Framework for Benchmarking Standard Downlink Scheduler over Long Term Evolution

Author 1: Srinivasa R K Author 2: Hemanth Kumar A.R

Downlink scheduling is one of the essential operations when it comes to improving the quality of service in Long Term Evolution (LTE). With an increasing user base, there will be an extensive challenge in resource provisioning too. A review of existing approaches shows that there is a significant possibility of… Read full abstract & cite →

eNodeB Scheduler HARQ Best-CQI Round Robin
37

The Cognizance of Green Computing Concept and Practices among Secondary School Students: A Preliminary Study

Author 1: Shafinah Kamarudin Author 2: Siti Munirah Mohd Author 3: Nurul Nadwa Zulkifli Author 4: Rosli Ismail Author 5: Ribka Alan Author 6: Philip Lepun Author 7: Muhd Khaizer Omar

The use of information communication technology (ICT) is growing and has been a compulsory norm in society. However, the increased use of ICT facilities in all developing countries has contributed to higher energy use and lead to environmental pollution. This study explores the extent of awareness among the younger generation… Read full abstract & cite →

Awareness energy consumption green computing environment pollution secondary students
38

Recognizing Activities of Daily Living using 1D Convolutional Neural Networks for Efficient Smart Homes

Author 1: Sumaya Alghamdi Author 2: Etimad Fadel Author 3: Nahid Alowidi

Human activity recognition is considered a challenging task in sensor-based monitoring systems. In ambient intelligent environments, such as smart homes, collecting data from ambient sensors is useful for recognizing activities of daily living, which can then be used to provide assistance to inhabitants. Activities of daily living are composed of… Read full abstract & cite →

Deep learning one-dimensional convolutional neural networks time-series classification Activities of Daily Living (ADLs) smart home recommendation system
39

A Cryptocurrency-based E-mail System for SPAM Control

Author 1: Shafiya Afzal Sheikh Author 2: M. Tariq Banday

Sending bulk e-mail is commercially cheap and technically easy, making it profitable for spammers, even if a tiny percentage of recipients falls for the attacks or turn into customers. Some researchers have proposed making e-mail paid so that sending bulk e-mail becomes expensive, making spamming unprofitable and a futile exercise… Read full abstract & cite →

E-mail SPAM blockchain cryptocurrency Ethereum
40

Discovery Engine for Finding Hidden Connections in Prose Comprehension from References

Author 1: Amal Babour Author 2: Javed I. Khan Author 3: Fatema Nafa Author 4: Kawther Saeedi Author 5: Dimah Alahmadi

Reading is one of the essential practices of modern human learning. Comprehending prose text simply from the available text is particularly challenging as in general the comprehension of prose requires the use of external knowledge or references. Although the processes of reading comprehension have been widely studied in the field… Read full abstract & cite →

Knowledge graph ontology engine text comprehension text summarization Wikipedia WordNet
41

Impact of the Mining Activity on the Water Quality in Peru Applying the Fuzzy Logic with the Grey Clustering Method

Author 1: Alexi Delgado Author 2: Anabel Fernandez Author 3: Brigitte Chirinos Author 4: Gabriel Barboza Author 5: Enrique Lee Huamaní

Mining activity in the department of Junín, Peru, is intense, due to the great existing mining-metallic potential that exists in the place, the Yauli and Andaychagua rivers, located in the Yauli Province, belonging to Junín, receive a large volume of discharges causing deterioration in the quality of the water of… Read full abstract & cite →

Mining activity water quality grey clustering
42

The Role of Electronic Means in Enhancing the Intellectual Security among Students at the University of Jordan

Author 1: Mohammad Salim Al-Zboun Author 2: Mamon Salim Al-Zboun Author 3: Hussam N. Fakhouri

The study aims to identify the role of electronic means in enhancing intellectual security among students at the University of Jordan. To achieve the objective of the study, a study instrument is developed, and the study sample consists of (525) male and female students. The results show that the response… Read full abstract & cite →

Electronic means intellectual security enhancement
43

Enhancement of 3D Seismic Images using Image Fusion Techniques

Author 1: Abrar Alotaibi Author 2: Mai Fadel Author 3: Amani Jamal Author 4: Ghadah Aldabbagh

Seismic images are data collected by sending seismic waves to the earth subsurface, recording the reflection and providing subsurface structural information. Seismic attributes are quantities derived from seismic data and provide complementary information. Enhancing seismic images by fusing them with seismic attributes will improve the subsurface visualization and reduce the… Read full abstract & cite →

Image fusion seismic image seismic attribute neural networks
44

Multi-beam Antenna Array Operating Over Switch On/Off Element Condition

Author 1: Julian Imami Author 2: Elson Agastra Author 3: Aleksandër Biberaj

In this work, is presented the design of a linear multi-beam antenna. The designed procedure is focused on the possibility of switching off a part of antenna array elements, in active antenna systems, in order to preserve resources (power and heat dissipation). The behavior of the original multi beam antenna… Read full abstract & cite →

Multi-beam phased antenna array Hausdorff distance Woodward-Lawson
45

A Survey on Image Encryption using Chaos-based Techniques

Author 1: Veena G Author 2: Ramakrishna M

Encryption methods such as AES (Advanced Encryption Standard), DES (Data Encryption Standard), etc. cannot be used for image encryption as images contain a huge amount of redundant data, a high correlation between neighboring pixels and size of the image is very large. Chaos- based techniques have suitable properties that are… Read full abstract & cite →

Chaos theory image encryption logistic map PWLCM tent map
46

Classification of Arabic-Speaking Website Pages with Unscrupulous Intentions and Questionable Language

Author 1: Haya Mesfer Alshahrani

This study aims to put forward a comprehensive and detailed classification system to categorize different Arabic-speaking website pages with unscrupulous intentions and questionable language. The methodology of this is based on a quantitative approach by using different algorithms (supervised) to build a model for data classification by using manually categorized… Read full abstract & cite →

Extremism textual analysis classification Posit SAFAR
47

Cyber Situation Awareness Perception Model for Computer Network

Author 1: Olofintuyi Sunday Samuel

With the increase in cyber threats, computer network security has raised a lot of issues among various companies. In order to guide against all these threats, a formidable Intrusion Detection System (IDS) is needed. Various Machine Learning (ML) algorithms such as Artificial Neural Network (ANN), Decision Tree (DT), Support Vector… Read full abstract & cite →

Situation awareness intrusion detection system artificial neural network based decision tree decision tree classification
48

Visualization of Arabic Entities in Online Social Media using Machine Learning

Author 1: Khowla Mohammed Alyamani Author 2: Abdul Khader Jilani Saudagar

In recent years, the use of social media and the amount of exchangeable data have increased considerably. The increase in exchangeable data makes data mining, analysis and visualization of relevant information a challenging task. This research work assesses, categorizes, and analyzes Arabic entities on social media selected by users at… Read full abstract & cite →

Machine learning classification visualization Arabic entities social media
49

Systematic Review of Methodologies for the Development of Embedded Systems

Author 1: Kristina Blaškovic Author 2: Sanja Candrlic Author 3: Alen Jakupovic

Embedded systems encompass software and hardware components developed in parallel. These systems have been the focus of interest for many scholars who emphasized development issues related to embedded systems. Moreover, they proposed different approaches for facilitating the development process. The aim of this work is to identify desirable characteristics of… Read full abstract & cite →

Embedded systems development methodology multilayer conceptual network cluster analysis k-means algorithm
50

B-droid: A Static Taint Analysis Framework for Android Applications

Author 1: Rehab Almotairy Author 2: Yassine Daadaa

Android is currently the most popular smartphone operating system in use, with its success attributed to the large number of applications available from the Google Play Store. However, these contain issues relating to the storage of the user’s sensitive data, including contacts, location, and the phone’s unique identifier (IMEI). Use… Read full abstract & cite →

Static analysis taint analysis fuzz testing android applications mobile malwares data flow analysis
51

HoloLearn: An Interactive Educational System

Author 1: Shoroog Alghamdi Author 2: Samar Aloufi Author 3: Layan Alsalea Author 4: Fatma Bouabdullah

The HoloLearn project is a sophisticated interactive educational system that attempts to simplify the educational process in the field of medicine, mainly, through the use of Hologram technology. The Hologram technology has been used in conjunction with the feature of user interaction, to take the whole educational process to a… Read full abstract & cite →

Interactive educational system hologram technology user interaction
52

Prototype of Web System for Organizations Dedicated to e-Commerce under the SCRUM Methodology

Author 1: Ventocilla Gomero-Fanny Author 2: Aguila Ruiz Bengy Author 3: Laberiano Andrade-Arenas

This research work is based on making a prototype e-commerce system applying the scrum methodology, because currently the systems of many organizations are still developed following traditional methodologies, i.e. the system does not meet the requirements that should provide value to the organization in addition to its poor information security… Read full abstract & cite →

Agile e-commerce scrum sales user stories sprint
53

Blockchain in Insurance: Exploratory Analysis of Prospects and Threats

Author 1: Anokye Acheampong AMPONSAH Author 2: Adebayo Felix ADEKOYA Author 3: Benjamin Asubam WEYORI

Ever since the first generation of blockchain technology became very successful and the FinTech enormously benefited from it with the advent of cryptocurrency, the second and third generations championed by Ethereum and Hyperledger have explored the extension of blockchain in other domains like IoT, supply chain management, healthcare, business, privacy… Read full abstract & cite →

Blockchain technology insurance industry hyperledger ethereum
54

Dual Frequencies Usage by Full and Incomplete Ring Elements

Author 1: Kamarulzaman Mat Author 2: Norbahiah Misran Author 3: Mohammad Tariqul Islam Author 4: Mohd Fais Mansor

Full and incomplete ring patch elements antenna can be mixed to generate a variety of responses with respect to the direction of polarization. Dual frequencies requirement in numerous usage like in tracking radar can be achieved by combining the patches. To obtain the favored operating frequency, a straightforward design of… Read full abstract & cite →

Incomplete ring full ring dual frequencies polarization-dependent
55

An Efficient Data Replication Technique with Fault Tolerance Approach using BVAG with Checkpoint and Rollback-Recovery

Author 1: Sharifah Hafizah Sy Ahmad Ubaidillah Author 2: A. Noraziah Author 3: Basem Alkazemi

Data replication has been one of the pathways for distributed database management as well as computational intelligence scheme as it continues to improve data access and reliability. The performance of data replication technique can be crucial when it involves failure interruption. In order to develop a more efficient data replication… Read full abstract & cite →

Data replication computational intelligence fault tolerance binary vote assignment on grid checkpoint and rollback-recovery
56

Evaluation of Water Quality in the Lower Huallaga River Watershed using the Grey Clustering Analysis Method

Author 1: Alexi Delgado Author 2: Diego Cuadra Author 3: Karen Simon Author 4: Katya Bonilla Author 5: Katherine Tineo Author 6: Enrique Lee Huamaní

Currently, the evaluation of water quality is a topic of global interest, due to its socio-cultural, environmental and economic importance, but in recent years this quality is deteriorating due to inadequate management in the conservation, disposal and use of water by the competent authorities, private-state entities and the population itself… Read full abstract & cite →

Water quality prati index grey clustering method protection and sustainable conservation
57

A Comparative Analysis of Machine Learning Models for First-break Arrival Picking

Author 1: Mohammed Ayub Author 2: SanLinn I. Kaka

First-break (FB) picking is an important and necessary step in seismic data processing and there is a need to develop precise and accurate auto-picking solutions. Our investigation in this study includes eight machine learning models. We use 1195 raw traces to extract several features and train for accurate picking and… Read full abstract & cite →

First-break arrival picking seismology neural networks machine learning feature ranking
58

Olive Oil Ripping Time Prediction Model based on Image Processing and Neural Network

Author 1: Mutasem Shabeb Alkhasawneh

The agriculture sector in Jordan depends very much on planting the olive trees. More than ten million of olive trees are planted in the Jordanian soil. Olive fruit are harvested for two purposes; either to produce oil or to produce olive table (pickled olive). Olive fruit harvesting time for extracting… Read full abstract & cite →

Neural network image processing olive ripping time prediction classifications
59

A New Discretization Approach of Bat and K-Means

Author 1: Rozlini Mohamed Author 2: Noor Azah Samsudin

Bat algorithm is one of the optimization techniques that mimic the behavior of bat. Bat algorithm is a powerful algorithm in finding the optimum feature data collection. Classification is one of the data mining tasks that useful in knowledge representation. But, the high dimensional data become the issue in the… Read full abstract & cite →

Classification discretization feature selection optimization algorithm bat algorithm
60

Development of a System to Manage Letters of Recommendation

Author 1: Reham Alabduljabbar

Letter of Recommendation (LoR) is a letter which describes qualifications, skills, and abilities of the person being recommended. Students need to request a letter of recommendation from their instructors for the purpose of applying for jobs, internships and academic studies. The main obstacle which many students face is that instructors… Read full abstract & cite →

Letter of recommendation mobile application letter of reference android mobile application LoR standardized letters of recommendations
61

Conceptual Temporal Modeling Applied to Databases

Author 1: Sabah Al-Fedaghi

We present a different approach to developing a concept of time for specifying temporality in the conceptual modeling of software and database systems. In the database field, various proposals and products address temporal data. The difficulty with most of the current approaches to modeling temporality is that they represent and… Read full abstract & cite →

Conceptual modeling temporal database static model events model behavioral model
62

Towards a Real Time Distributed Flood Early Warning System

Author 1: EL MABROUK Marouane

Since the beginning of humanity, floods have caused a lot of damages and have killed many people. So far, floods are causing a lot of losses and damage in many countries every year. When facing such a disaster, effective decisions regarding flood management must be made using real-time data, which… Read full abstract & cite →

Flood forecasting distributed decision support system multi-agent system anytime algorithm
63

Modelling Health Process and System Requirements Engineering for Better e-Health Services in Saudi Arabia

Author 1: Fuhid Alanazi Author 2: Valerie Gay Author 3: Mohammad N. Alanazi Author 4: Ryan Alturki

This systematic review aimed to examine the published works on e-health modelling system requirements and suggest one applicable to Saudi Arabia. PRISMA method was adopted to search, screen and select the papers to be included in this review. Google Scholar was used as the search engine to collect relevant works… Read full abstract & cite →

e-health e-health systems e-healthy modelling and e-health modelling system requirements
64

Comparison of Deep and Traditional Learning Methods for Email Spam Filtering

Author 1: Abdullah Sheneamer

Electronic mail, or email, is a method for com-municating using the internet which is inexpensive, effective, and fast. Spam is a type of email where unwanted messages, usually unwanted commercial messages, are distributed in large quantities by a spammer. The objective of such behavior is to harm email users; these… Read full abstract & cite →

Spam filtering machine learning deep learning LSTM CNN
65

Mobile Application Design with IoT for Environmental Pollution Awareness

Author 1: Anthony Ramos-Romero Author 2: Brighitt Garcia-Yataco Author 3: Laberiano Andrade-Arenas

In the present study, we have seen that many people are affected by environmental pollution, so we proposed a mobile application prototype to facilitate awareness of this environmental problem. The methodology that will help us make this application will be the Scrum methodology, since it is adaptable to the constant… Read full abstract & cite →

Environmental pollution internet of things scrum mobile app
66

An Integrated Imbalanced Learning and Deep Neural Network Model for Insider Threat Detection

Author 1: Mohammed Nasser Al-Mhiqani Author 2: Rabiah Ahmed Author 3: Z Zainal Abidin Author 4: S.N Isnin

The insider threat is a vital security problem concern in both the private and public sectors. A lot of approaches available for detecting and mitigating insider threats. However, the implementation of an effective system for insider threats detection is still a challenging task. In previous work, the Machine Learning (ML)… Read full abstract & cite →

Security insider threat insider threats detection machine learning deep learning imbalanced data
67

A Systematic Study of Duplicate Bug Report Detection

Author 1: Som Gupta Author 2: Sanjai Kumar Gupta

Defects are an integral part of any software project. They can arise at any time, at any phase of the software development or the maintenance phase. In open source projects, open bug repositories are used to maintain the bug reports. When a new bug report arrives, a person called “Triager”… Read full abstract & cite →

AUSUM feature-based deep learning semantic unsupervised
68

A Blockchain-based Crowdsourced Task Assessment Framework using Smart Contract

Author 1: Linta Islam Author 2: Syada Tasmia Alvi Author 3: Mafizur Rahman Author 4: Ayesha Aziz Prova Author 5: Md. Nazmul Hossain Author 6: Jannatul Ferdous Sorna Author 7: Mohammed Nasir Uddin

In today’s world, crowdsourcing is a highly rising paradigm where mass people are engaged in solving a problem. Though this system has a lot of advantages, yet people are not interested in working on this platform. Thus, we survey people to find out the constraints of this platform and the… Read full abstract & cite →

Blockchain crowdsourcing task allocation smart contract
69

Fake Reviews Detection using Supervised Machine Learning

Author 1: Ahmed M. Elmogy Author 2: Usman Tariq Author 3: Ammar Mohammed Author 4: Atef Ibrahim

With the continuous evolve of E-commerce systems, online reviews are mainly considered as a crucial factor for building and maintaining a good reputation. Moreover, they have an effective role in the decision making process for end users. Usually, a positive review for a target object attracts more customers and lead… Read full abstract & cite →

Fake reviews detection data mining supervised machine learning feature engineering
70

An Adaptive Genetic Algorithm for a New Variant of the Gas Cylinders Open Split Delivery and Pickup with Two-dimensional Loading Constraints

Author 1: Anouar Annouch Author 2: Adil Bellabdaoui

This paper studies a combination of two well-known problems in distribution logistics, which are the truck loading problem and the vehicle routing problem. In our context, a customer daily demand exceeds the truck capacity. As a result, the demand has to be split into several routes. In addition, it is… Read full abstract & cite →

Vehicle routing problem split delivery and pickup multi-depot two-dimensional loading genetic algorithm
71

Study of Post-COVID-19 Employability in Peru through a Dynamic Model, Between 2020 and 2025

Author 1: Richard Ronny Arias Marreros Author 2: Keyla Vanessa Nalvarte Dionisio Author 3: Luis Alberto Romero Tuanama Author 4: Juber Alfonso Quiroz Gutarra Author 5: Laberiano Andrade-Arenas

The research work is focused on the sector of the population that will have a job, taking into account that the pandemic was a problem that resulted in many people losing their jobs due to the economic crisis that affected all countries because the first half of the year 2020… Read full abstract & cite →

Employability forrester diagram population sys-tem dynamics vensim
72

Topic based Sentiment Analysis for COVID-19 Tweets

Author 1: Manal Abdulaziz Author 2: Alanoud Alotaibi Author 3: Mashail Alsolamy Author 4: Abeer Alabbas

The incessant Coronavirus pandemic has had a detrimental impact on nations across the globe. The essence of this research is to demystify the social media’s sentiments regarding Coronavirus. The paper specifically focuses on twitter and extracts the most discussed topics during and after the first wave of the Coronavirus pandemic… Read full abstract & cite →

Social media analysis COVID-19 topics extraction sentiment analysis LDA spark twitter
73

Building a Personalized Fitness Recommendation Application based on Sequential Information

Author 1: Manal Abdulaziz Author 2: Bodor Al-motairy Author 3: Mona Al-ghamdi Author 4: Norah Al-qahtani

Nowadays sports plays a very important role in the life of the human being and it allows to keep him healthy and make him always active. Sport is essential for people to have a healthy mind. However, the practice of a sport can have negative effects on the body and… Read full abstract & cite →

Big data big data processing recommendation system sport analysis K-means
74

Inventory Management Analysis under the System Dynamics Model

Author 1: Shal´om Adonai Huaraz Morales Author 2: Laberiano Andrade-Arenas

In this work, the modeling of the system dynamics concerning inventory management has been carried out, this was done to achieve a correct analysis on said management, and thus make decisions that benefit the company. Knowing that the problem lies in the mismanagement of inventories, which are managed by certain… Read full abstract & cite →

Causal diagram dynamics of system forrester dia-gram inventory management Vensim
75

Cuckoo-Neural Approach for Secure Execution and Energy Management in Mobile Cloud Computing

Author 1: Vishal Author 2: Bikrampal Kaur Author 3: Surender Jangra

Along with an explosive growth in mobile appli-cations and the emergence of the concept of cloud computing, in mobile cloud computing (MCC) has been familiarized as a potential technology for mobile users. Employing MCC to enable mobile users to realize the benefits of cloud computing in an environment friendly way… Read full abstract & cite →

Mobile cloud computing VM migration energy consumption SLA violation VM selection overloading under loading
76

An Improved Biometric Fusion System of Fingerprint and Face using Whale Optimization

Author 1: Tajinder Kumar Author 2: Shashi Bhushan Author 3: Surender Jangra

In the field of wireless multimedia authentication unimodal biometric model is commonly used but it suffers from spoofing and limited accuracy. The present work pro-poses the fusion of features of face and fingerprint recognition system as an Improved Biometric Fusion System (IBFS) leads to improvement in performance. Integrating multiple biometric… Read full abstract & cite →

Biometric fusion face recognition fingerprint recognition feature extraction feature optimization classifier
77

Implementation of an e-Commerce System for the Automation and Improvement of Commercial Management at a Business Level

Author 1: Anthony Tupia-Astoray Author 2: Laberiano Andrade-Arenas

At present micro and small businesses engaged in the production and marketing of products and have a single means of sale, whether stalls or physical stores, have been affected by the current crisis that is happening due to the pandemic, which came in early 2020 to Europe and different countries… Read full abstract & cite →

Agile development e-commerce scrum methodol-ogy prototype system
78

Heuristic Evaluation of Peruvian Government Web Portals, used within the State of Emergency

Author 1: Flores Quispe Percy Santiago Author 2: Mamani Condori Kevin Alonso Author 3: Paniura Huamani Jose Maykol Author 4: Anampa Chura Diego David Author 5: Richart Smith Escobedo Quispe

The development of web platforms is very abundant at present, this event has developed exponentially due to the state of emergency. Therefore, there is a need to evaluate the quality of these platforms to ensure a good user experience, especially if these platforms are governmental. Currently, there are several platforms… Read full abstract & cite →

Heuristic evaluation usability heuristic principles government web portals Covid-19
79

k-Integer-Merging on Shared Memory

Author 1: Ahmed Y Khedr Author 2: Ibrahim M Alseadoon

The k integer-merging problem is to merge the k sorted arrays into a new sorted array that contains all elements of Ai,∀ i. We propose a new parallel algorithm based on exclusive read exclusive write shared memory. The algorithm runs in O(log n) time using n/log n processors. The algorithm… Read full abstract & cite →

Merging parallel algorithm shared memory optimality linear work
80

An Accessibility Evaluation of the Websites of Top-ranked Hospitals in Saudi Arabia

Author 1: Obead Alhadreti

Hospital websites offer the potential to improve healthcare service delivery. They can provide up-to-date information and services to patients, at low cost and regardless of their level of abilities. This, in turn, can reduce overcrowding in hospitals and reduce spread of disease, especially in circumstances like the current COVID-19 pandemic… Read full abstract & cite →

Accessibility hospital websites Saudi Arabia

Call for Papers - Important Dates

Volume 17 No. 12, December 2026
Paper Submission Due November 25, 2026
Review Notification December 15, 2026
Publication Date December 31, 2026