Imran Shafi

Solid Waste Management Optimization Techniques: A Systematic Review

Advances in semi and self-supervised learning techniques for cross-domain visual inspection tools

This review critically synthesizes recent advancements in label-efficient learning paradigms and examines how these techniques address challenges such as occlusion, clutter, limited annotations, and domain variability, as well as identifying the current research that has been made possible through recent advances in SS...

Deep learning for EEG-based depression detection: A systematic literature review of methods and interpretability techniques.

A complete synthesis of the current scenario and future perspectives on data availability towards enhanced reliability, transparency, and applicability of AI-driven depression diagnostics is served as a complete synthesis of the current scenario and future perspectives on data availability.

A Review of Compiler Optimization Techniques and Comparative Analysis for RISC-V Software Development

The significance of compilers, how to optimize them, and a thorough comparison between the GNU compiler collection (GCC) and low-level virtual machine (LLVM) compilers are discussed.

From Bug Reports to Code Quality: A Transformer-Based Classification Approach Using CodeBERT

A transformer-based classification framework that fine-tunes CodeBERT on a balanced dataset of 25,000+ bug-report segments drawn from four Apache projects is proposed and CodeBERT is the best-performing transformer in this comparison.