Vol. 1 No. 2 (2026): BIMA January 2026 Issue
This issue of the Bulletin of Intelligent Machines and Algorithms (BIMA) brings together five research articles that explore practical applications of artificial intelligence and machine learning across multiple domains. The published works address current challenges in renewable energy forecasting, healthcare analytics, cybersecurity, epidemiological prediction, and health-related data classification.
Several contributions highlight the growing role of explainable and interpretable models in supporting reliable decision-making, particularly in health and public policy contexts. Other studies focus on efficient learning architectures that achieve strong predictive performance while remaining suitable for real-world deployment.
Collectively, the articles in this issue reflect an emphasis on methodological soundness, applicability, and transparency. Through these contributions, BIMA continues to support the dissemination of applied research that advances intelligent systems while maintaining relevance to real-world problems and decision-making needs.
Published:
2026-01-31
