DC arc fault detection is undergoing a transformation thanks to edge AI, helping power systems spot dangerous faults faster, ...
Hyperscalers and IT behemoths are on the list, while OT companies are not. The list in question includes the companies that have special access to powerful new models from the two major U.S. frontier ...
This repository contains materials for a thesis project on radio signal modulation recognition using machine learning methods. The project focuses on adaptive modulation recognition based on signal-to ...
Abstract: A vital issue faced by the distribution network is the occurrence of unintentional islanding. The failure to identify unintentional islanding results in significant implications for both the ...
Abstract: The rapid proliferation of networked systems has elevated the threats to cybersecurity in recent times, making intrusion detection systems (IDS) indispensable in current security regime.
10 The George Institute for Global Health, School of Public Health, Imperial College London, London, UK Background Cardiovascular risk is underassessed in women. Many women undergo screening ...
ABSTRACT: Accurately predicting individual responses to antidepressant treatment is a critical step toward achieving personalized psychiatry and minimizing the ...
An overview of attention detection using EEG signals, which includes six steps: an experimental paradigm design, in which the task and the stimuli are defined and presented to the subjects; EEG data ...
ABSTRACT: In the field of machine learning, support vector machine (SVM) is popular for its powerful performance in classification tasks. However, this method could be adversely affected by data ...
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