A Multi-module Robust Method for Transient Stability Assessment against False Label Injection Cyberattacksby Hanxuan Wang,…
Latent Diffusion Model-Enabled Low-Latency Semantic Communication in the Presence of Semantic Ambiguities and Wireless Channel…
Network-Based Transfer Learning Helps Improve Short-Term Crime Prediction Accuracyby Jiahui Wu, Vanessa Frias-MartinezFirst submitted to…
TopoBenchmarkX: A Framework for Benchmarking Topological Deep Learningby Lev Telyatnikov, Guillermo Bernardez, Marco Montagna, Pavlo…
DKDL-Net: A Lightweight Bearing Fault Detection Model via Decoupled Knowledge Distillation and Low-Rank Adaptation Fine-tuningby…
Video-based Exercise Classification and Activated Muscle Group Prediction with Hybrid X3D-SlowFast Networkby Manvik Pasula, Pramit…
Data Augmentation for Multivariate Time Series Classification: An Experimental Studyby Romain Ilbert, Thai V. Hoang,…
ProAct: Progressive Training for Hybrid Clipped Activation Function to Enhance Resilience of DNNsby Seyedhamidreza Mousavi,…
An Improved Empirical Fisher Approximation for Natural Gradient Descentby Xiaodong Wu, Wenyi Yu, Chao Zhang,…
An Open and Large-Scale Dataset for Multi-Modal Climate Change-aware Crop Yield Predictionsby Fudong Lin, Kaleb…