P
Partha Pratim Roy
Researcher at Indian Institute of Technology Roorkee
Publications - 509
Citations - 8436
Partha Pratim Roy is an academic researcher from Indian Institute of Technology Roorkee. The author has contributed to research in topics: Chemistry & Medicine. The author has an hindex of 36, co-authored 404 publications receiving 5505 citations. Previous affiliations of Partha Pratim Roy include Samsung & Indian Statistical Institute.
Papers
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Synthesis, characterization and investigation of synergistic antibacterial activity and cell viability of silver–sulfur doped graphene quantum dot (Ag@S-GQDs) nanocomposites
Sachin Kadian,Gaurav Manik,Neeladrisingha Das,Poonam Nehra,Rishi Pal Chauhan,Partha Pratim Roy +5 more
TL;DR: Improved antibacterial and biocompatibility data demonstrate that the Ag@S-GQDs nanocomposite can serve as a promising antibacterial agent for industry to fabricate next-generation self-sterile textiles, antibacterial coatings and useful health care products supporting cell viability.
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Anomaly Detection in Road Traffic Using Visual Surveillance: A Survey
TL;DR: This study aims to investigate the recent visual surveillance–related research on anomaly detection in public places, particularly on road, and analyzes various vision-guided anomaly detection techniques using a generic framework such that the key technical components can be easily understood.
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Multi-oriented Bangla and Devnagari text recognition
TL;DR: This paper proposes a novel scheme towards the recognition of Indian complex documents of Bangla and Devnagari script using background and foreground information, and combines circular and convex hull features to improve the results.
Proceedings ArticleDOI
Multi-Oriented and Multi-Sized Touching Character Segmentation Using Dynamic Programming
TL;DR: A scheme towards the segmentation of English multi-oriented touching strings into individual characters using Convex Hull information, and dynamic programming is applied using total likelihood of characters as the objective function.
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Kinect sensor-based interaction monitoring system using the BLSTM neural network in healthcare
Rajkumar Saini,Pradeep Kumar,Barjinder Kaur,Partha Pratim Roy,Debi Prosad Dogra,K. C. Santosh +5 more
TL;DR: The proposed Kinect sensor-based interaction monitoring system between two persons using the Bidirectional long short-term memory neural network (BLSTM-NN) can be adopted for the rehabilitation of people (who may be suffering from ASD and other psychological disorders) by analyzing their activities.