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A Comprehensive Review of Bias in AI, ML, and DL Models: Methods, Impacts, and Future Directions.

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Title: A Comprehensive Review of Bias in AI, ML, and DL Models: Methods, Impacts, and Future Directions.
Authors: Kumar, Ankur1,2, khatriankur007@yahoo.com, Dhanka, Sanjay3,4, sanjaykumar506070@gmail.com, Sharma, Abhinav5, abhinav.engi@gmail.com, Sharma, Anchal1, anchal.15000@gmail.com, Nain, Monika6,7, nainmonika551@gmail.com, Kumar, Prashant8, prashant.engineering@tmu.ac.in, Gupta, Atma Ram9, arguptanitd@gmail.com, Bansal, Jyoti10, principalbfcet@babafaridgroup.com, Saxena, Nitin Kumar11, nitinsaxena.iitd@gmail.com, Pant, Ruby12, pant.ruby12@gmail.com
Source: Archives of Computational Methods in Engineering; May2026, Vol. 33 Issue 4, p5743-5773, 31p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 193840891
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: A Comprehensive Review of Bias in AI, ML, and DL Models: Methods, Impacts, and Future Directions.
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        Value: 10.1007/s11831-025-10483-6
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        Text: English
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              Text: May2026
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