IEEE

Predicting Alzheimer’s Disease Progression using Time-Decay LSTM Network with Multi-Condition Variational Autoencoder

Abstract: Alzheimer’s disease (AD) is a progressive neurodegenerative disorder, where early diagnosis is critical for slowing disease progression. Cognitive assessments, known for their high ...
IEEE

A Hybrid Prognostic Approach Combining a Stacked Multihead Self-Attention Autoencoder and Multimodal Relevance Sampling Particle Filter

Abstract: Accurate prediction of the remaining useful life (RUL) of bearings is critical for optimizing maintenance strategies, preventing unexpected failures, and enhancing repair management. Despite ...