About the Journal
Welcome to the journal Machine Learning and Convergence Science (MLCS)
MLCS is an international, peer-reviewed, open-access journal that publishes research in which advances in machine learning and substantive application domains inform and strengthen one another. We provide a scholarly forum for researchers, domain specialists, and practitioners working across machine learning methodology, health and clinical sciences, food systems and agriculture, development and public policy, environment, energy, infrastructure, and trustworthy intelligent systems. The journal prioritizes research that combines methodological rigor with meaningful scientific, practical, or societal contribution. MLCS particularly welcomes studies that address real-world conditions, use appropriate validation strategies, report findings transparently, and provide insights that extend beyond the application of established methods to new datasets.
