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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

Arrhythmia Classification using 2D Convolutional Neural Network

Vol. 11, Issue 4 (2020) · 24 citations

Arrhythmia is an abnormal situation of heartbeat rate that may cause a critical condition to our body and this condition gets more dangerous as our cardiovascular system gets more vulnerable as we grow older. To diagnose…

Deep Learning based Intelligent Surveillance System

Vol. 11, Issue 4 (2020) · 5 citations

In the field of developing innovation, pictures are assuming as an important entity. Almost in all fields, picture base data is considered very beneficial, like in the field of security, facial acknowledgment, or therape…

Image-based Individual Cow Recognition using Body Patterns

Vol. 11, Issue 3 (2020) · 38 citations

The existence of illumination variation, non-rigid object, occlusion, non-linear motion, and real-time implementation requirement has made tracking in computer vision a challenging task. In order to recognize individual…

TADOC : Tool for Automated Detection of Oral Cancer

Vol. 11, Issue 3 (2020) · 3 citations

Cancer is a group of related diseases and it is necessary to classify the type and its impact. In this paper an automated learning-based system for detection of oral cancer from Whole Slide Images (WSI) has been designed…