Chandravardhan Singh Raghaw

19 papers Journal 19
YearRankTypeTitle / 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