The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.
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
Handwritten digit recognition (HDR) forms a key component of computer vision systems, especially in optical character recognition (OCR). This study presents a comparative analysis of Machine Learning (ML) algorithms and…
One of the main causes of vision impairment is diabetic retinopathy (DR), a common and dangerous consequence of diabetes that damages the retinal blood vessels. Preventing irreversible vision loss requires early detectio…
Recognizing handwritten characters is a complex task, particularly when dealing with Tamil, a writing system known for its intricate and stylized nature. Several challenges arise in recognizing Tamil handwritten characte…
The rapid progress of deepfake technology, fueled by generative adversarial networks (GANs), has increased the challenge of verifying the authenticity of digital media. This study suggests a more powerful deepfake detect…
Stock market volatility, randomness, and complexity make accurate stock price prediction very elusive, though it is required for logical investment and risk management. This study compares four Deep Learning (DL) models,…
The existence of voluminous multilingual sources on the web in different fields creates numerous issues, including violations of intellectual property rights. For that, the multilingual plagiarism or cross-language plagi…
Assessing nutritional status, particularly among children and pregnant women, necessitates accurate measurement of Mid-Upper Arm Circumference (MUAC). This research introduces a novel system for MUAC estimation from digi…
As cyberattacks grow in prevalence, Intrusion Detection Systems (IDS) have become critical for securing network infrastructures. This study proposes an efficient IDS framework utilizing both machine learning (ML) and dee…
Stock market prediction is a core task in financial engineering that requires sophisticated methods to extract subtle market and volatility trends. The increasing complexity of the stock market has led to the integration…
Content‑Based Image Retrieval (CBIR) systems have become increasingly crucial in healthcare as the volume of medical imaging data continues to grow exponentially. However, existing systems struggle to balance privacy pre…
