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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

Automating Time Series Forecasting on Crime Data using RNN-LSTM

Vol. 12, Issue 10 (2021) · 5 citations

Criminal activities, be it violent or non-violent are major threats to the safety and security of people. Frequent Crimes are the extreme hindrance to the sustainable development of a nation and thus need to be controlle…

Skin Lesions Classification and Segmentation: A Review

Vol. 12, Issue 10 (2021) · 17 citations

An automated intelligent system based on imaging input for unbiased diagnosis of skin-related diseases is an essential screening tool nowadays. This is because visual and manual analysis of skin lesion conditions based o…

Mask RCNN with RESNET50 for Dental Filling Detection

Vol. 12, Issue 10 (2021) · 5 citations

Teeth are very important for humans to eat food. However, teeth do get damaged for several reasons, like poor maintenance. Damaged teeth can cause severe pain and make it difficult to eat food. To safeguard the tooth fro…

Joint Deep Clustering: Classification and Review

Vol. 12, Issue 10 (2021) · 6 citations

Clustering is a fundamental problem in machine learning. To address this, a large number of algorithms have been developed. Some of these algorithms, such as K-means, handle the original data directly, while others, such…