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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

Fusion of AI techniques to tackle COVID-19 pandemic: models, incidence rates, and future trends.

TL;DR: In this paper, a comprehensive end-to-end review of all the AI-techniques that can be used to tackle all areas of the pandemic is presented, and the authors systematically discuss the issues of the COVID-19, and based on the literature review, they suggest their potential countermeasures using AI techniques.
Proceedings ArticleDOI

Machine Learning-based Voltage Dip Measurement of Smart Energy Meter

TL;DR: This study is focused on implementing existing approaches to analyse the data available, using the deep learning algorithms and introduces a novel concepts of big data and extends it to highlight its influence on the smart grid system.
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Towards Future Internet: The Metaverse Perspective for Diverse Industrial Applications

TL;DR: In this article , a case study on Metaverse-assisted Real Estate Management (REM) is presented, where the Metaverse governs a Buyer-Broker-Seller (BBS) architecture for land registrations.
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Anomaly detection in autonomous electric vehicles using AI techniques: A comprehensive survey

TL;DR: The proposed survey is designed to guide the manufacturing industry, AI practitioners, and researchers worldwide to formulate and design accurate and precise mechanisms to detect anomalies in AEVs.
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Blockchain and AI-Empowered Social Distancing Scheme to Combat COVID-19 Situations

TL;DR: In this paper, a blockchain and artificial intelligence (AI)-envisioned scheme for monitoring social distancing to combat COVID-19 situations is presented. But, no surveillance system exists, which monitors the people's movement for social distance and securely & efficiently shares the information with the concerned administration department.