Browsing School of Engineering and Materials Science by Subject "Machine learning"
Now showing items 1-6 of 6
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Predicting the effects of environmental parameters on the spatio-temporal distribution of the droplets carrying coronavirus in public transport- A machine learning approach.
(Elsevier, 2021-10-07)Human-generated droplets constitute the main route for the transmission of coronavirus. However, the details of such transmission in enclosed environments are yet to be understood. This is because geometrical and environmental ... -
Variable weight algorithm for convolutional neural networks and its applications to classification of seizure phases and types
(Elsevier, 2022)Deep learning techniques have recently achieved impressive results and raised expectations in the domains of medical diagnosis and physiological signal processing. The widely adopted methods include convolutional neural ...