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
Intradialytic hypotension (IDH) is a common complication in patients undergoing maintenance hemodialysis and is associated with an increased risk of cardiovascular and all-cause mortality. Machine learning (ML) and deep…
Cyberattacks are intentional attacks on computer systems, networks, and devices. Malware, phishing, drive-by downloads, and injection are popular cyberattacks that can harm individuals, businesses, and organizations. Mos…
Leaf diseases pose a significant challenge to rice productivity, which is critical as rice is a staple food for over half of the world's population and a major agricultural commodity. These diseases can lead to severe ec…
Machine learning operations (MLOps) achieves faster model development, deliver higher machine learning models quality, and faster deployment cycle. Unfortunately, MLOps is still an uncertain concept with ambiguous resear…
This research proposes using machine learning as a foundational element for enhancing information retrieval procedures in university libraries. This initiative will enhance students' comprehension of the topic and improv…
Tourist attractions, defined by their cultural importance, aesthetic appeal, and recreational possibilities, are critical to the tourism industry. However, precisely evaluating tourism needs remains a difficult task, and…
In order to develop intelligent learning recommendation systems, the work identifies the employment of artificial intelligence (AI) techniques, particularly in the educational data mining (EDM) field. The aggregation of…
In today's digital era, social media has profoundly transformed communication, enabling new forms of emotional expression through various tools, particularly emojis. Initially created to represent simple emotions, emojis…
Machine learning techniques in smart agriculture for yield prediction involve using algorithms to analyze historical and real-time data to forecast crop yields. These approaches aim to optimize agricultural practices, im…
The objective of this study is to address the complex task of identifying optimal locations for mountain hiking sites in the Eastern High Atlas region of Morocco, considering topographical factors. The study assesses the…
