Abstract: Fine-grained image classification (FGIC) is an important computer vision task with many real-world applications. However, FGIC is challenging due to intraclass variations and interclass ...

Abstract: Images captured under sub-optimal illumination conditions may contain both over- and under-exposures. Current approaches mainly focus on adjusting image brightness, which may exacerbate ...

Working with circuits and LED lights guides students to test ideas, troubleshoot problems, revise plans, notice patterns, and ...

Learning to program in C on an online platform can provide structured learning and a certification to show along with your resume. Learning C can still be useful in 2026, especially if you want to ...

Abstract: Large variations across images make image classification a challenging task; limited training data further increases its difficulty. Genetic programming (GP) has been considerably applied to ...