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
UpHaaR: Blockchain-based charity donation scheme to handle financial irregularities
Deepti Saraswat,Farnazbanu Patel,Pronaya Bhattacharya,Ashwin Verma,Sudeep Tanwar,Ravi Sharma +5 more
TL;DR: Wang et al. as discussed by the authors proposed a blockchain-based charity scheme, UpHaaR, where donators and beneficiaries register in blockchain, managed for diverse fundraisers by charity organizations.
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ADYTIA: Adaptive and Dynamic TCP Interface Architecture for heterogeneous networks
Rakeshkumar Vanzara,Priyanka Sharma,Haresh S. Bhatt,Sudeep Tanwar,Sudhanshu Tyagi,Neeraj Kumar,Mohammad S. Obaidat,Mohammad S. Obaidat +7 more
TL;DR: An Adaptive and Dynamic TCP Interface Architecture (ADYTIA) is proposed, which allows the usage of different TCP variants based on application and link characteristics, irrespective of the physical links of the entire path.
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A Review on Standardizing Electric Vehicles Community Charging Service Operator Infrastructure
Riya Kakkar,Rajesh Gupta,Smita Agrawal,Sudeep Tanwar,Ravi Sharma,Ahmed Alkhayyat,Bogdan-Constantin Neagu,Maria Simona Raboaca +7 more
TL;DR: In this paper , the authors present a comprehensive survey on standardizing EV charging infrastructure and propose an architecture for standardized EV community charging infrastructure to provide adaptability for EVs with different charging standards.
Journal ArticleDOI
Stochastic Neural Networks-Based Algorithmic Trading for the Cryptocurrency Market
TL;DR: In this paper , the authors proposed hybrid trading strategies that take advantage of the traditional mean reversal strategies alongside robust price predictions from stochastic neural networks to predict prices based on market data and social sentiment.
Proceedings ArticleDOI
Tensor Decomposition of Biometric Data using Singular Value Decomposition
TL;DR: This paper has applied the Tensor Decomposition technique (TD), i.e., an SVD to reduce dimensionally of data, and compares the performance of SVD on using a different dataset of varying size data.