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
Accurate forecasting of financial time-series data is not just a challenge—it's a critical necessity for investors in emerging markets. This study decisively evaluates the predictive power of seven advanced statistical a…
Spam email detection is a critical component of securing and maintaining reliable digital communication systems. This study explores the effectiveness of various machine learning algorithms in classifying spam, with an e…
This research provides a systematic review of AI and ML applied to the BI context from 2014 to 2024. By characterizing the article and citation distribution and by tracing the topics of publications over time, this study…
This research presents an automated data processing model based on RPA Scripting, designed to enhance efficiency in extracting, validating, and integrating information from various web platforms. The automated workflow b…
Cardiovascular disease is still the leading cause of death, and a definitive cure has not yet been found, so this is the time to make important changes in prevention and early diagnosis. Integrating artificial intelligen…
Fake news has become a significant global challenge, affecting public opinion, social dynamics, and decision-making processes. Detecting fabricated news accurately and efficiently remains a challenging task due to the di…
Gender identification through written text analysis leverages writer-specific characteristics including linguistic patterns and stylistic behaviors, yet research on gender identification in Malay-English (Manglish) using…
Machine learning for near-infrared (NIR) spectroscopy requires effective feature selection to address high dimensionality and multicollinearity. This study proposes Iterative Partition Optimization (IPO), a framework int…
The integration of Artificial Intelligence (AI) and Machine Learning (ML) into Continuous Improvement (CI) frameworks is redefining the foundations of automotive manufacturing under the Industry 4.0 paradigm. Traditional…
This article examines how artificial intelligence and machine learning reshape automotive manufacturing within Industry 4.0. Reported impacts include up to a 200 percent reduction in costs and a 400 percent gain in produ…
