37 citations · 37 across the 3 of their papers we have counts for
7 papers · 1 filter
MNet-SAt: A Multiscale Network with Spatial-enhanced Attention for Segmentation of Polyps in Colonoscopy
Chandravardhan Singh Raghaw, Aryan Yadav, Jasmer Singh Sanjotra +2
Objective: To develop a novel deep learning framework for the automated segmentation of colonic polyps in colonoscopy images, overcoming the limitations of current approaches in pr…
KisanQRS: A Deep Learning-based Automated Query-Response System for Agricultural Decision-Making
Mohammad Zia Ur Rehman, Devraj Raghuvanshi, Nagendra Kumar
Delivering prompt information and guidance to farmers is critical in agricultural decision-making. Farmers helpline centres are heavily reliant on the expertise and availability of…
An Explainable Contrastive-based Dilated Convolutional Network with Transformer for Pediatric Pneumonia Detection
Chandravardhan Singh Raghaw, Parth Shirish Bhore, Mohammad Zia Ur Rehman +1
Pediatric pneumonia remains a significant global threat, posing a larger mortality risk than any other communicable disease. According to UNICEF, it is a leading cause of mortality…
CoTCoNet: An Optimized Coupled Transformer-Convolutional Network with an Adaptive Graph Reconstruction for Leukemia Detection
Chandravardhan Singh Raghaw, Arnav Sharma, Shubhi Bansal +2
Swift and accurate blood smear analysis is an effective diagnostic method for leukemia and other hematological malignancies. However, manual leukocyte count and morphological evalu…
A Hybrid Filtering for Micro-video Hashtag Recommendation using Graph-based Deep Neural Network
Shubhi Bansal, Kushaan Gowda, Mohammad Zia Ur Rehman +2
Due to the growing volume of user generated content, hashtags are employed as topic indicators to manage content efficiently on social media platforms. However, finding these vital…
GCM-Net: Graph-enhanced Cross-Modal Infusion with a Metaheuristic-Driven Network for Video Sentiment and Emotion Analysis
Prasad Chaudhari, Aman Kumar, Chandravardhan Singh Raghaw +2
Sentiment analysis and emotion recognition in videos are challenging tasks, given the diversity and complexity of the information conveyed in different modalities. Developing a hig…