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C. J.

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Conference Jul 2026

Comparative Performance Analysis of Deep Learning Architectures for Oral Cancer Detection Using Histopathological Images

Early and accurate detection of oral cancer is critical for improving patient outcomes. This study presents a comprehensive comparison of five convolutional neural network architectures—MobileNetV2, Xception, VGG19, ResNet50, and DenseNet201—for automated oral cancer detection from histopathological images. All models...

Prema Hiremath, K. N., Siddharth Nambiar et al. · 0 citations
Conference Jul 2026

Multi-State Parameter Self-Optimization Using Deep Reinforcement Learning for Energy-Efficient Low-Latency Massive MIMO Systems

Massive MIMO systems require simultaneous optimization of energy efficiency, latency, and handover performance, yet existing approaches address these objectives in isolation across disparate parameter spaces. This paper proposes a multi-state parameter self-optimization framework that jointly optimizes across five inte...

Madhu Kumari Ray, Sasmita Mohapatra, C. J. · 0 citations

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