Abdul Hadi Abd Rahman

PART-GCN: anatomy-anchored and motion-enhanced adaptive graph topology learning for skeleton-based action recognition

Abstract Skeleton-based action recognition is important for intelligent systems that require reliable interpretations of human motion, including rehabilitation monitoring, elder-care assessment, and surveillance. Graph convolutional networks (GCNs) are the dominant approach becau...

Empirical analysis of algorithmic components for improved performance in a baseline genetic algorithm selection hyper-heuristic

Selection hyper-heuristics represent high-level search algorithms that dynamically select and apply lower-level heuristics to solve various optimization problems. They encompass numerous algorithmic components such as heuristic selection, move acceptance, feedback, and parameter...