Abstract: Non-intrusive load monitoring (NILM) is designed to disaggregate the total load of electricity used in a household into appliance-level data. Moreover, deep learning (DL) models have been ...
Abstract: We implement transfer learning (TL) to attain efficiency in training and feature extraction by freezing the connection weights of shallow layers of deep learning (DL) models, already trained ...
Real-time data can also be captured by drones during and after flood events. Another technology used is a modeling program called ICM that’s used for large watersheds. It will model underground flow ...
The RAS library is an open-source implementation of Regional-Adaptive Sampling (RAS), a novel diffusion model sampling strategy that introduces regional variability in sampling steps. Unlike ...
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