Brain-Inspired AI Spots Fatigue in Crane Operators with 98.8% Accuracy
A brain-inspired spiking neural network that filters and decodes EEG signals can detect mental fatigue in tower crane operators with ...
A brain-inspired spiking neural network that filters and decodes EEG signals can detect mental fatigue in tower crane operators with ...
A multi-site EEG study finds that Parkinson's disease alters the timing of low-beta brain bursts while theta burst amplitude tracks ...
A new EEG study shows that conformity to pro-climate social norms grows stronger over a week while anti-climate conformity fades, ...
A letter in the Journal of Clinical Sleep Medicine warns that slow-wave slope in obstructive sleep apnea may reflect hypoxia, ...
A new study finds that alpha-band EEG connectivity during task performance shows an exploratory association with six-month consciousness recovery after ...
A prospective pediatric ICU study shows that machine learning applied to EEG background features and clinical data predicts acute cerebral ...
A new Translational Psychiatry study proposes that timing transcranial magnetic stimulation to favorable brain states can sequentially enhance its efficacy ...
A new deep learning system embeds the peak-end rule directly into its architecture, predicting how people will retrospectively judge emotional ...
Researchers in India have developed a hybrid convolutional neural network and vision transformer that fuses text, speech, video and physiological ...
New research shows that frontal tau pathology fragments the traveling slow waves of deep sleep, weakening overnight memory consolidation and ...
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© 2026 Scienmag - Science Magazine