Chandravardhan Singh Raghaw

19 papers Journal 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	H-SemiS: Hierarchical fusion of semi and self-supervised learning for knee osteoarthritis severity grading. Expert Syst. Appl. Chandravardhan Singh Raghaw, Anushka Parwal, Shahid Shafi Dar, Prajakta Darade, Nagendra Kumar
2025	J	`jnl`	A multi-temporal multi-spectral attention-augmented deep convolution neural network with contrastive learning for crop yield prediction. Comput. Electron. Agric. Shalini Dangi, Surya Karthikeya Mullapudi, Chandravardhan Singh Raghaw, Shahid Shafi Dar, Mohammad Zia Ur Rehman, Nagendra Kumar
2025	J	`jnl`	A multi-temporal multi-spectral attention-augmented deep convolution neural network with contrastive learning for crop yield prediction. CoRR Shalini Dangi, Surya Karthikeya Mullapudi, Chandravardhan Singh Raghaw, Shahid Shafi Dar, Mohammad Zia Ur Rehman, Nagendra Kumar
2025	J	`jnl`	An Explainable Deep Neural Network with Frequency-Aware Channel and Spatial Refinement for Flood Prediction in Sustainable Cities. CoRR Shahid Shafi Dar, Bharat Kaurav, Arnav Jain, Chandravardhan Singh Raghaw, Mohammad Zia Ur Rehman, Nagendra Kumar
2025	J	`jnl`	Hierarchical Attention-enhanced Contextual CapsuleNet for Multilingual Hope Speech Detection. Expert Syst. Appl. Mohammad Zia Ur Rehman, Devraj Raghuvanshi, Harshit Pachar, Chandravardhan Singh Raghaw, Nagendra Kumar
2025	J	`jnl`	MNet-SAt: A Multiscale Network with Spatial-enhanced Attention for segmentation of polyps in colonoscopy. Biomed. Signal Process. Control. Chandravardhan Singh Raghaw, Aryan Yadav, Jasmer Singh Sanjotra, Shalini Dangi, Nagendra Kumar
2025	J	`jnl`	Sentiment and hashtag-aware attentive deep neural network for multimodal post popularity prediction. Neural Comput. Appl. Shubhi Bansal, Mohit Kumar, Chandravardhan Singh Raghaw, Nagendra Kumar
2025	J	`jnl`	T-MPEDNet: Unveiling the Synergy of Transformer-aware Multiscale Progressive Encoder-Decoder Network with Feature Recalibration for Tumor and Liver Segmentation. Biomed. Signal Process. Control. Chandravardhan Singh Raghaw, Jasmer Singh Sanjotra, Mohammad Zia Ur Rehman, Shubhi Bansal, Shahid Shafi Dar, Nagendra Kumar
2025	J	`jnl`	T-MPEDNet: Unveiling the Synergy of Transformer-aware Multiscale Progressive Encoder-Decoder Network with Feature Recalibration for Tumor and Liver Segmentation. CoRR Chandravardhan Singh Raghaw, Jasmer Singh Sanjotra, Mohammad Zia Ur Rehman, Shubhi Bansal, Shahid Shafi Dar, Nagendra Kumar
2024	J	`jnl`	A Comprehensive Survey of Mamba Architectures for Medical Image Analysis: Classification, Segmentation, Restoration and Beyond. CoRR Shubhi Bansal, Sreeharish A, Madhava Prasath J, Manikandan S, Sreekanth Madisetty, Mohammad Zia Ur Rehman, Chandravardhan Singh Raghaw, Gaurav Duggal, Nagendra Kumar
2024	J	`jnl`	A Hybrid Filtering for Micro-video Hashtag Recommendation using Graph-based Deep Neural Network. CoRR Shubhi Bansal, Kushaan Gowda, Mohammad Zia Ur Rehman, Chandravardhan Singh Raghaw, Nagendra Kumar
2024	J	`jnl`	A hybrid filtering for micro-video hashtag recommendation using graph-based deep neural network. Eng. Appl. Artif. Intell. Shubhi Bansal, Kushaan Gowda, Mohammad Zia Ur Rehman, Chandravardhan Singh Raghaw, Nagendra Kumar
2024	J	`jnl`	An Explainable Contrastive-based Dilated Convolutional Network with Transformer for Pediatric Pneumonia Detection. Appl. Soft Comput. Chandravardhan Singh Raghaw, Parth Shirish Bhore, Mohammad Zia Ur Rehman, Nagendra Kumar
2024	J	`jnl`	An Explainable Contrastive-based Dilated Convolutional Network with Transformer for Pediatric Pneumonia Detection. CoRR Chandravardhan Singh Raghaw, Parth Shirish Bhore, Mohammad Zia Ur Rehman, Nagendra Kumar
2024	J	`jnl`	CoTCoNet: An Optimized Coupled Transformer-Convolutional Network with an Adaptive Graph Reconstruction for Leukemia Detection. CoRR Chandravardhan Singh Raghaw, Arnav Sharma, Shubhi Bansal, Mohammad Zia Ur Rehman, Nagendra Kumar
2024	J	`jnl`	CoTCoNet: An optimized coupled transformer-convolutional network with an adaptive graph reconstruction for leukemia detection. Comput. Biol. Medicine Chandravardhan Singh Raghaw, Arnav Sharma, Shubhi Bansal, Mohammad Zia Ur Rehman, Nagendra Kumar
2024	J	`jnl`	GCM-Net: Graph-enhanced Cross-Modal Infusion with a Metaheuristic-Driven Network for Video Sentiment and Emotion Analysis. CoRR Prasad Chaudhari, Aman Kumar, Chandravardhan Singh Raghaw, Mohammad Zia Ur Rehman, Nagendra Kumar
2024	J	`jnl`	MNet-SAt: A Multiscale Network with Spatial-enhanced Attention for Segmentation of Polyps in Colonoscopy. CoRR Chandravardhan Singh Raghaw, Aryan Yadav, Jasmer Singh Sanjotra, Shalini Dangi, Nagendra Kumar
2024	J	`jnl`	Sentiment and Hashtag-aware Attentive Deep Neural Network for Multimodal Post Popularity Prediction. CoRR Shubhi Bansal, Mohit Kumar, Chandravardhan Singh Raghaw, Nagendra Kumar