Responsible Detection and Mitigation of AI-Generated Text Using Hybrid Neural Networks and Feature Fusion: Toward Trustworthy Content Management in the Era of Large Language Models.
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| Title: | Responsible Detection and Mitigation of AI-Generated Text Using Hybrid Neural Networks and Feature Fusion: Toward Trustworthy Content Management in the Era of Large Language Models. |
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| Authors: | Alharthi R; Department of Computer Science and Engineering, University of Hafr Al-Batin, Hafr Al-Batin, 31991 Saudi Arabia., Ojo S; Department of Electrical and Computer Engineering, College of Engineering, Anderson University, Anderson, SC USA., Nathaniel TI; School of Medicine Greenville, University of South Carolina, South Carolina, USA., Samee NA; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, P.O. Box 84428 Saudi Arabia., Umer M; Department of Computer Science and Information Technology, The Islamia University of Bahawalpur, Bahawalpur, Pakistan., Jamjoom MM; Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, P.O. Box 84428 Saudi Arabia., Alsubai S; Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam bin Abdulaziz University, Al-Kharj, 11942 Saudi Arabia., Khan J; School of Computing, Gachon University, Seongnam, 13120 Republic of Korea. |
| Source: | International journal of computational intelligence systems [Int J Comput Intell Syst] 2025; Vol. 18 (1), pp. 274. Date of Electronic Publication: 2025 Nov 03. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Taylor & Francis Country of Publication: England NLM ID: 9919032404006676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1875-6883 (Electronic) Linking ISSN: 18756883 NLM ISO Abbreviation: Int J Comput Intell Syst Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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