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Author

Pankaj Mudholkar

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Open access 2026

Explainable AI models for short-term renewable energy forecasting under uncertainty

An uncertainty-aware transformer framework is proposed which is explainable when forecasting the short-term PV power under dynamically changing environmental conditions and then explains the renewable energy forecasting system in the entire system for photovoltaic uncertainty-aware and interpretable prediction.

Udit Mamodiya, I. Kishor, P. Mudholkar et al. · 0 citations
Open access Aug 2026

An Optimized YOLOv11-Based Deep Learning Framework With CNN Feature Enhancement for Tile Crack Detection

A combination of enhanced CNN preprocessing and the YOLOv11 model to enhance the effectiveness of crack detection takes advantage of the capabilities of the YOLOv11 model to detect cracks on tiles and aims to use a wide range of tile images in different lighting conditions, textures, and types of defects.

V. Pal, Pankaj Mudholkar · 0 citations
2026

Cyber-physical manufacturing systems enabled by IoT and machine intelligence

A cyber-physical architecture based on the IoT, which uses machine intelligence to monitor, analyze, and control manufacturing systems in real-time, which can be both scaled and powerful to serve next-generation intelligent manufacturing systems.

P. Mudholkar · 0 citations

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