Arun K. Revanth

A taxonomy of existing methods into supervised and instance-based learning, deep and hybrid architectures, and imbalance-aware learning based on resampling is proposed, and a research-gap table identifies open issues in interpretability, cross-domain transfer, and energy-aware computation.