An Explainable Machine Learning Network for Classification of Autism Spectrum Disorder Using Optimal Frequency Band Identification From Brain EEG by S. Saranya, R. Menaka

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A Quantum-Based Machine Learning Approach for Autism Detection Using Common Spatial Patterns of EEG Signals by S. Saranya, R. Menaka

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Neuro-Inspired Spiking Classifier for Trajectory-Optimized Diastasis Recti Rehabilitation With Wearable IMU Sensor by P. Vinitha Joshy, R. Menaka

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IMAGE PROCESSING FOR DETECTION OF ORAL WHITE SPONGE NEVUS LESIONS by Rajdeep Mitra, R Karthik, Koushik Pal, R Menaka

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A Hybrid Deep Learning Approach for Skin Cancer Classification Using Swin Transformer and Dense Group Shuffle Non-Local Attention Network by R. Karthik, R. Menaka, Shivansh Atre, Jaehyuk Cho, Sathishkumar Veerappampalayam Easwaramoorthy

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Optimized Sample Adaptive Offset Filter in HEVC by N. Archana, R. Menaka, P. T. Vasanth Raj, G. Keerthivasan, N. Kumar

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GrapeLeafNet: A Dual-Track Feature Fusion Network With Inception-ResNet and Shuffle-Transformer for Accurate Grape Leaf Disease Identification by R. Karthik, R. Menaka, S. Ompirakash, P. Bala Murugan, M. Meenakashi, Sindhia Lingaswamy, Daehan Won

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Corrections to “GrapeLeafNet: A Dual-Track Feature Fusion Network With Inception-ResNet and Shuffle-Transformer for Accurate Grape Leaf Disease Identification” by R. Karthik, R. Menaka, S. Ompirakash, P. Bala Murugan, M. Meenakashi, Sindhia Lingaswamy, Daehan Won

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A dual-track feature fusion model utilizing Group Shuffle Residual DeformNet and swin transformer for the classification of grape leaf diseases by R. Karthik, Gadige Vishnu Vardhan, Shreyansh Khaitan, R. N. R. Harisankar, R. Menaka, Sindhia Lingaswamy, Daehan Won

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