Archives

  • BIMA November 2025 Issue
    Vol. 1 No. 1 (2025)

    The inaugural issue of the Bulletin of Intelligent Machines and Algorithms (BIMA) marks the journal’s first contribution to the dissemination of research in artificial intelligence, data science, and machine learning. This issue presents five selected articles that demonstrate the application of intelligent algorithms across diverse interdisciplinary domains, including digital marketing, multimedia analysis, public sentiment studies, agriculture, and financial security.

    The contributions highlight a strong emphasis on model interpretability, algorithmic robustness, and practical relevance. Several studies integrate explainable machine learning techniques to support transparent decision-making, while others focus on ensemble and deep learning approaches to improve predictive accuracy in real-world settings.

    Together, the articles reflect BIMA’s commitment to publishing methodologically sound and application-oriented research, establishing a foundation for the journal’s role in advancing reliable and impactful intelligent systems research.

  • BIMA January 2026 Issue
    Vol. 1 No. 2 (2026)

    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.