The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.
IJACSA research on machine learning — spanning algorithms, applications, and techniques across computer science domains. One of the journal's largest and most active research areas.
Published in International Journal of Advanced Computer Science and Applications (IJACSA) · list last refreshed August 2026
Maternal and neonatal mortality rates pose a significant challenge in healthcare systems worldwide. Predicting the childbirth approach is essential for safeguarding the mother’s and child’s well-being. Currently, it is d…
Artificial intelligence tools have revolutionized many fields, bringing significant progress in automating tasks and solving complex problems. In this article, we focus on the legal domain, where the data to be processed…
Skin cancer is one of the most prevalent types of cancer worldwide, and its early detection is crucial for improving patient outcomes. Artificial Intelligence (AI) has shown significant promise in assisting dermatologist…
Forest fires are a major environmental hazard that can have significant impacts on human lives. Early detection and swift action are crucial for controlling such situations and minimizing damage. However, the automatic t…
There is an exponential growth of opinions on online platforms, and the rapid rise in communication technologies generates a significant need to analyze opinions in online social networks (OSN). However, these opinions a…
Air pollution comes in many forms and the basis of measure is the concentration of particles in the air. The quality of air depends on the quantity of pollution measured by a particle sensor that is accurate down to micr…
Today’s era is witnessing an alarming surge in ransomware attacks, propelled by the increasingly sophisticated obfuscation tools deployed by cybercriminals to evade conventional antivirus defenses. Therefore, there is a…
Feature selection is a critical preprocessing technique used to remove irrelevant and redundant features from datasets while maintaining or improving the accuracy of machine learning models. Recent advancements in this a…
Sentiment analysis is a key component of Natural Language Processing (NLP), taking into account the extraction of emotional cues from text. However, traditional strategies often fail to capture diffused feelings embedded…
The classification of IP traffic is important for many reasons, including network management and security, quality of service (QoS) monitoring and provisioning, and high hardware utilisation. Recently, many machine learn…
