In today's rapidly evolving business landscape, the convergence of sustainable supply chain
management (SSCM) and machine intelligence, encompassing artificial intelligence (AI) …

Abstract Concept-cognitive learning (CCL), an emerging intelligence learning paradigm, has
recently become a popular research subject in artificial intelligence and cognitive …

Integrating enormous quantities of wind energy into the electrical system requires precise
planning and forecasting. This paper presents a novel framework for wind power …

This paper engages in a comprehensive investigation concerning the application of
Explainable Artificial Intelligence (xAI) within the context of deep learning and Artificial …

The increasing integration of Artificial Intelligence (AI) systems in diverse sectors has raised
concerns regarding transparency, trust, and ethical data handling. This study investigates …

For synergistic interactions between humans and artificial intelligence (AI) systems, AI
outputs often need to be explainable to people. Explainable AI (XAI) systems are commonly …

Feature selection using variable precision neighborhood rough sets (VPNRS) has garnered
considerable attention in data mining and knowledge discovery. Nevertheless, the positive …

Power load forecasting is of great significance to the electricity management. However,
extant research is insufficient in comprehensively combining data processing and further …

Interpretable artificial intelligence (AI), also known as explainable AI, is indispensable in
establishing trustable AI for bench-to-bedside translation, with substantial implications for …