Classification of Over-dimensioned Trucks

As the second author, I contributed to the development of a MobileNet-based over-dimensioned truck classification model (97.92% accuracy), particularly in data annotation, augmentation experiments, and training methodology design. The research utilized a hybrid dataset of field and internet-sourced images and was published in Jurnal Informatika Vol. 10, No. 2 (2025).