Analysis of Driver Performance Using Hybrid of Weighted Ensemble Learning Technique and Evolutionary Algorithms

Koohestani, Afsaneh; Abdar, Moloud; Hussain, S; Khosravi, Abbas; Nahavandi, Darius; Nahavandi, Saeid; Alizadehsani, Roohallah

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Analysis of Driver Performance Using Hybrid of Weighted Ensemble Learning Technique and Evolutionary Algorithms

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posted on 2021-04-01, 00:00 authored by Afsaneh Koohestani, Moloud Abdar, S Hussain, Abbas KhosraviAbbas Khosravi, Darius Nahavandi, Saeid Nahavandi, Roohallah Alizadehsani

Analysis of Driver Performance Using Hybrid of Weighted Ensemble Learning Technique and Evolutionary Algorithms

History

Journal

Arabian Journal for Science and Engineering

Volume

46

Issue

4

Pagination

3567 - 3580

Publisher

SPRINGER HEIDELBERG

Publisher DOI

https://doi.org/10.1007/s13369-020-05115-z

ISSN

2193-567X

eISSN

2191-4281

Language

English

Author URL

http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000605157700001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a045e4b2bb1f2b747c68c720ec8913b7

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C1 Refereed article in a scholarly journal

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Keywords

Science & Technology Multidisciplinary Sciences Science & Technology - Other Topics Driver performance analysis Weighted ensemble learning techniques Evolutionary algorithms Physiological signals DRIVING BEHAVIORS PARTICLE SWARM CLASSIFICATION MACHINE RECOGNITION IDENTIFICATION OPTIMIZATION CLASSIFIERS STRATEGIES EEG

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File(s) under permanent embargo

Analysis of Driver Performance Using Hybrid of Weighted Ensemble Learning Technique and Evolutionary Algorithms

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