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A Novel Method for Illegal Driver Detection and Legal Driver Identification Using Multitask Learning Based LSTM Models for Real Time Applications.

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Title: A Novel Method for Illegal Driver Detection and Legal Driver Identification Using Multitask Learning Based LSTM Models for Real Time Applications.
Authors: Manoharan, Mathankumar1, mathankumarbit@gmail.com, Muthukrishnan, Karthik2, Balan, Gunapriya3, Arumugam, Singaravelan4, Muthusamy, Suresh5, infostosuresh@gmail.com, Ramachandran, Meenakumari6, Balodi, Arun7, Chinnaiyan, V. Kumar8, Sekaran, Sreejith9, Gnanakkan, Christober Asir Rajan Charles10
Source: Wireless Personal Communications; Jun2024, Vol. 136 Issue 3, p1923-1944, 22p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 178276275
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: A Novel Method for Illegal Driver Detection and Legal Driver Identification Using Multitask Learning Based LSTM Models for Real Time Applications.
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  Data: <searchLink fieldCode="JN" term="%22Wireless+Personal+Communications%22">Wireless Personal Communications</searchLink>; Jun2024, Vol. 136 Issue 3, p1923-1944, 22p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=178276275
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        Value: 10.1007/s11277-024-11368-w
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        Text: English
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      – TitleFull: A Novel Method for Illegal Driver Detection and Legal Driver Identification Using Multitask Learning Based LSTM Models for Real Time Applications.
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            – D: 01
              M: 06
              Text: Jun2024
              Type: published
              Y: 2024
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              Value: 136
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