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cs.CV2026
Integrated Deep Learning Framework Designed on Hybrid Optimization Strategies for Automated Health Detection and Analysis in Silkworms
Komala K, Lata B T, Venugopal K R
A Hybrid Residual Attention Network is proposed for accurately classifying silkworm images into six different classes, including healthy and diseased states. It uses residual block…
cs.CV2026
Attention-Guided Efficientnet Architecture For Precise Criminal Identification in Surveillance Images
Savitha N J, Lata B T
Criminal identification from surveillance imagery has become a critical research area in intelligent forensic surveillance systems due to the increasing deployment of CCTV cameras…
cs.CV2026
Optimized Culprit Identification Using Mobilenet and Attention Mechanisms
Savitha N J, Lata B T
Automated culprit identification in surveillance systems is a critical task that requires high accuracy along with computational efficiency for real-time deployment. In this paper,…