S
Sudeep Tanwar
Researcher at Nirma University of Science and Technology
Publications - 410
Citations - 11253
Sudeep Tanwar is an academic researcher from Nirma University of Science and Technology. The author has contributed to research in topics: Computer science & Smart grid. The author has an hindex of 43, co-authored 263 publications receiving 5402 citations. Previous affiliations of Sudeep Tanwar include Bharat Institute of Technology & University Institute of Technology, Burdwan University.
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Journal ArticleDOI
A Survey on Decentralized Consensus Mechanisms for Cyber Physical Systems
Umesh Bodkhe,Dhyey Mehta,Sudeep Tanwar,Pronaya Bhattacharya,Pradeep Kumar Singh,Wei-Chiang Hong +5 more
TL;DR: The proposed survey will act as a road-map for blockchain developers and researchers to evaluate and design future consensus mechanisms, which helps to build an efficient CPS for industry 4.0 stakeholders.
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Blockchain-based security attack resilience schemes for autonomous vehicles in industry 4.0: A systematic review
TL;DR: This paper analyzed and discussed the threat classification pertaining to autonomous vehicles (AV) by using the authentication, accountability, and service availability, and highlighted the countermeasures for AV cyberattacks along with their implementation issues and explored how blockchain can overcome these issues.
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Tactile-Internet-Based Telesurgery System for Healthcare 4.0: An Architecture, Research Challenges, and Future Directions
TL;DR: The analysis shows that the proposed architecture with TI as a network backbone has faster response time and higher reliability in comparison to the existing system, and presents a recent case study on the world's first successfully executed teleslanting heart surgery.
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Validation of terminal peptide of procollagen III for the detection and assessment of nonalcoholic steatohepatitis in patients with nonalcoholic fatty liver disease
Sudeep Tanwar,P M Trembling,Indra Neil Guha,Julie Parkes,Philip Kaye,Alastair D. Burt,Stephen D. Ryder,Guruprasad P. Aithal,Christopher P. Day,William Rosenberg +9 more
TL;DR: The use of a single biomarker in this context will be of clinical utility in detecting the minority of patients with NAFLD who have NASH or advanced fibrosis related to NASH.
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SDN-based real-time urban traffic analysis in VANET environment
TL;DR: A long short-term memory neural network (LSTM-NN) architecture is constructed which overcomes the issue of back-propagated error decay through memory blocks for spatiotemporal traffic prediction with high temporal dependency and has the potential to predict real-time traffic trends accurately.