Now Available: Vol. 3 No. 2 (2026): July

This issue features six peer-reviewed research articles presenting recent advances in mathematics, statistics, artificial intelligence, and computer science. The published studies address a wide range of topics, including neutrosophic vector spaces, traffic violation detection using deep learning and computer vision, linear side conditions in non-full rank linear models, model reduction methods for randomized complete block designs, confidence interval estimation under heteroscedasticity using weighted least squares, and electronic health record classification with deep learning techniques.

The articles published in this issue are contributed by researchers from Indonesia, Japan, and Qatar, reflecting the journal's ongoing commitment to fostering international collaboration and disseminating high-quality scientific research across diverse disciplines within mathematics and computer science.

The Editorial Board extends its sincere appreciation to all authors, reviewers, and editors for their dedication and valuable contributions throughout the publication process. We hope that the research presented in this issue will provide meaningful insights, encourage further scientific exploration, and serve as valuable references for researchers, academics, and practitioners worldwide.