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cs.LG2026
Cyber-Physical Anomaly Detection in IoT-Enabled Smart Grids Using Machine Learning and Metaheuristic Feature Optimization
Adis Alihodžić, Eva Tuba, Milan Tuba
Modern smart grids rely on dense measurement infrastructures, communication links, and intelligent field devices. Although this improves supervision and control, it also increases…
cs.LG2026
GPU-Accelerated Deep Learning for Heatwave Prediction and Urban Heat Risk Assessment
Adis Alihodžić
Heatwaves are an important problem in cities, and climate change makes this problem more difficult. In this paper, we present a GPU-based deep learning framework for next-day predi…