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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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Deep Learning Research — IJACSA

IJACSA research on deep learning — covering neural network architectures such as CNNs, RNNs, and transformers, and their applications across computer science domains.

Published in International Journal of Advanced Computer Science and Applications (IJACSA) · list last refreshed August 2026

Fixed Point Implementation of Tiny-Yolo-v2 using OpenCL on FPGA

Vol. 9, Issue 10 (2018) · 86 citations

Deep Convolutional Neural Network (CNN) algorithm has recently gained popularity in many applications such as image classification, video analytic and object detection. Being compute-intensive and memory expensive, CNN-b…

Deep Learning Algorithm for Cyberbullying Detection

Vol. 9, Issue 9 (2018) · 75 citations

Cyberbullying is a crime where one person becomes the target of harassment and hate. Many cyberbullying detection approaches have been introduced, however, they were largely based on textual and user features. Most of th…

The Role of Hyperspectral Imaging: A Literature Review

Vol. 9, Issue 8 (2018) · 32 citations

Optical analysis techniques are used recently to detect and identify the objects from a large scale of images. Hyperspectral imaging technique is also one of them. Vision of human eye is based on three basic color (red,…

Acoustic Classification using Deep Learning

Vol. 9, Issue 8 (2018) · 11 citations

Acoustic complements is an important methodology to perceive the sounds from environment. Significantly machines in different conditions can have the hearings capability like smartphones, different software or security s…

Processing Sampled Big Data

Vol. 9, Issue 8 (2018) · 2 citations

Big data processing requires extremely powerful and large computing setup. This puts bottleneck not only on processing infrastructure but also many researchers don’t get the freedom to analyze large datasets. This paper…