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Dynamic domain analysis for predicting concept drift in engineering AI-enabled software

Murtuza Shahzad Hamed Barzamini Joseph Wilson Hamed Alhoori Mona Rahimi

Journal of Data and Information Science2025，Vol.10Issue(2)：P.124-151,28.

Journal of Data and Information Science2025，Vol.10Issue(2)：P.124-151,28.DOI:10.2478/jdis-2025-0020

Dynamic domain analysis for predicting concept drift in engineering AI-enabled software

Murtuza Shahzad ¹Hamed Barzamini ¹Joseph Wilson ¹Hamed Alhoori ¹Mona Rahimi¹

作者信息

1. Department of Computer Science,Northern Illinois University,Illinois 60115,USA
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摘要

关键词

AI-enable software system/Concept drift detection/Applied machine learning/Autonomous vehicles/Natural language processing

分类

信息技术与安全科学

引用本文复制引用

Murtuza Shahzad,Hamed Barzamini,Joseph Wilson,Hamed Alhoori,Mona Rahimi..Dynamic domain analysis for predicting concept drift in engineering AI-enabled software[J].Journal of Data and Information Science,2025,10(2):P.124-151,28.

基金项目

supported by U.S.Office of Naval Research(ONR)Grant number G2A62826. （ONR）

Journal of Data and Information Science

ISSN：2096-157X

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