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A systematic review and Meta-data analysis on the applications of Deep Learning in Electrocardiogram
The success of deep learning over the traditional machine learning techniques in handling
artificial intelligence application tasks such as image processing, computer vision, object …
artificial intelligence application tasks such as image processing, computer vision, object …
Cross-subject EEG emotion recognition combined with connectivity features and meta-transfer learning
In recent years, with the rapid development of machine learning, automatic emotion
recognition based on electroencephalogram (EEG) signals has received increasing …
recognition based on electroencephalogram (EEG) signals has received increasing …
Sensing physiological and environmental quantities to measure human thermal comfort through machine learning techniques
This paper presents the results from the experimental application of smartwatch sensors to
predict occupants' thermal comfort under varying environmental conditions. The goal is to …
predict occupants' thermal comfort under varying environmental conditions. The goal is to …
IM-ECG: An interpretable framework for arrhythmia detection using multi-lead ECG
R Tao, L Wang, Y ** measurable affect
manifestations from multiple modalities of user input to affect labels. That map** is usually …
manifestations from multiple modalities of user input to affect labels. That map** is usually …
[HTML][HTML] ECG-based stress detection and productivity factors monitoring: the real-time production factory system
Productivity and production quality have become primary goals for the success of
companies in all industrial and manufacturing sectors. Performance in terms of productivity …
companies in all industrial and manufacturing sectors. Performance in terms of productivity …
Deep multimodal fusion for subject-independent stress detection
This paper explores the influence of convolutional layer in deep multimodal fusion
(intermediate fusion) for the detection of subject-independent stress using physiological …
(intermediate fusion) for the detection of subject-independent stress using physiological …