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.
Papers
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Journal ArticleDOI
SSEER: Segmented sectors in energy efficient routing for wireless sensor network
TL;DR: A segmented sector network that can work efficiently to increase the lifetime of the network and improve the energy efficiency and stability compared to the Z-SEP protocol is proposed.
Book ChapterDOI
Blockchain Adoption for Trusted Medical Records in Healthcare 4.0 Applications: A Survey
TL;DR: In this paper, the authors present a systematic survey of blockchain-based EHR applications in Healthcare 4.0 ecosystems, identifying tools and technologies to support BC-based healthcare applications and addressing open challenges for future research of integrating BC to secure EHR in Healthcare4.0 ecosystem.
Journal ArticleDOI
A novel Internet of things-based plug-and-play multigas sensor for environmental monitoring
Joao B. A. Gomes,Joel J. P. C. Rodrigues,Ricardo A. L. Rabelo,Sudeep Tanwar,Jalal Al-Muhtadi,Sergey Kozlov +5 more
TL;DR: An IoT‐based solution for sensing environmental gases preceding a PnP approach, combining the hardware and software integrations for a better user experience is proposed.
Journal ArticleDOI
Adversarial learning techniques for security and privacy preservation: A comprehensive review
TL;DR: A comprehensive review of adversarial learning techniques (AL) is presented to highlight the recent improvements in AL techniques and explored the various AL applications in security and privacy preservation.
ABV-CoViD: An Ensemble Forecasting Model to Predict Availability of Beds and Ventilators for COVID-19 Like Pandemics
Vivek Kumar Prasad,Pronaya Bhattacharya,Madhuri Bhavsar,Ashwin Verma,Sudeep Tanwar,Gulshan Sharma,Pitshou Bokoro,Ravi Sharma +7 more
TL;DR: This paper proposes a scheme, ABV-CoViD, that forms an ensemble forecasting model to predict the availability of beds and ventilators (ABV) for the COVID-19 patients, and considers an integration of artificial neural network (ANN) and auto-regressive integrated neuralnetwork (ARIMA) model to address both the linear and non-linear dependencies.