Hybrid Forensic-Neural Fusion for Deepfake Image Detection Using Multi-Signal Analysis

Explore the article titled Hybrid Forensic-Neural Fusion for Deepfake Image Detection Using Multi-Signal Analysis from IJIRT Volume 12, Issue 11. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

Authors

Publication Details

Journal
International Journal of Innovative Research in Technology
Published
2026-04-13
DOI
https://doi.org/10.64643/ijirtv12i11-197126-459
Primary Topic
Digital Media Forensic Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Hybrid Forensic-Neural Fusion for Deepfake Image Detection Using Multi-Signal Analysis

Saladi Lakshmi Kantham, Dr. B. Suribabu, Gollakoti Jyothi, Prof. Y. Venkat et al.
International Journal of Innovative Research in Technology
Digital Media Forensic Detection
article

Hybrid Forensic-Neural Fusion for Deepfake Image Detection Using Multi-Signal Analysis

Saladi Lakshmi Kantham, Dr. B. Suribabu, Gollakoti Jyothi, Prof. Y. Venkat, Korukonda Gamya Sri, Pappula Krishna Veni, Tamanampudi Sai Jahnavi
article en

Abstract

Explore the article titled Hybrid Forensic-Neural Fusion for Deepfake Image Detection Using Multi-Signal Analysis from IJIRT Volume 12, Issue 11. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

International Journal of Innovative Research in TechnologyVol. 12(11)
Openalex Percentile: Top 5%
Digital Media Forensic Detection
DOIOpen Access PDFOpenAlex
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Hybrid Forensic-Neural Fusion for Deepfake Image Detection Using Multi-Signal Analysis — Saladi Lakshmi Kantham, Dr. B. Suribabu, et al. · International Journal of Innovative Research in Technology (2026) | TGRS Research Map | TGRS