Hyperdimensional computing for biosignal monitoring: Applications for epilepsy detection

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Fluorescence lifetime imaging (FLI) has been receiving increased attention in recent years as a powerful diagnostic technique in biological and medical research. However, existing FLI systems often suffer from a tradeoff between processing speed, accuracy, ...

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The present work proposes a framework for nonlinear model order reduction based on a Graph Convolutional Autoencoder (GCA-ROM). In the reduced order modeling (ROM) context, one is interested in obtaining real -time and many-query evaluations of parametric ...

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Hyperdimensional computing for biosignal monitoring: Applications for epilepsy detection

Chat with Graph Search

Partial Assistance with Lower-Limb Exoskeletons to Enhance Gait and Balance in Daily Living Activities

Coupling a recurrent neural network to SPAD TCSPC systems for real-time fluorescence lifetime imaging

Simulating Interacting Quantum Systems with Near-Term Quantum Computers

Partial discharge localization in power transformer tanks using machine learning methods

Advances on Real Time M/EEG Neural Feature Extraction

A graph convolutional autoencoder approach to model order reduction for parametrized PDEs

Enhancing dynamic resource management in decentralized federated learning for collaborative edge Internet of Things

Fast adaptation to rule switching using neuronal surprise

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Driving and suppressing the human language network using large language models

Network time series forecasting in photovoltaics power production

Optimizing Dynamic Aperture Studies with Active Learning

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning