Browsing KINDI Center for Computing Research by Subject "Feature selection"
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An enhanced ensemble deep random vector functional link network for driver fatigue recognition
( Elsevier , 2023 , Article)This work investigated the use of an ensemble deep random vector functional link (edRVFL) network for electroencephalogram (EEG)-based driver fatigue recognition. Against the low feature learning capability of the edRVFL ... -
Graph ensemble deep random vector functional link network for traffic forecasting
(2022 , Article)Traffic forecasting is crucial to achieving a smart city as it facilitates public transportation management, autonomous driving, and the resource relocation of the sharing economy. Traffic forecasting belongs to the ...