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20242026
most citedEvaluating ML Robustness in GNSS Interference Classification, Characterization & Localization

4 citations

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cs.LG2026

A Deep Learning Framework for Heat Demand Forecasting using Time-Frequency Representations of Decomposed Features

Adithya Ramachandran, Satyaki Chatterjee, Thorkil Flensmark B. Neergaard +3

District Heating Systems are essential infrastructure for delivering heat to consumers across a geographic region sustainably, yet efficient management relies on optimizing diverse…