Ministry of Education
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Dr Abhay Vidyarthi

vidwan id: 343879
Male

Assistant Professor, School of Electrical and Electronics Engineering
VIT Bhopal University, Sehore

Orchid Icon 0000-0002-7703-9531 Google Scholar Icon 55812383700

Expertise

  • Electrical and Electronic Engineering

Publications

Total Articles 14
Books 0
Proceedings 0

Publications

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Scopus

Citations 53
h-index 3

CrossRef

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Citations 80
h-index 4
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Professional Recognition

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Community & Membership

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Bio

Machine Learning and Image Processing and Robust control System Designing

Personal Details

  • Male
  • Assistant Professor , VIT Bhopal University, Sehore
  • VIT Bhopal University, Kothrikalan
PhD
Other Institute 2017
Assistant Professor Dec 2019 – Present
VIT Bhopal University, Sehore | School of Electrical and Electronics Engineering

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Co-Authors (11)

Boopathi

Dr Boopathi CS

S R M Institute of Science & Technology, Chennai

Amit

Prof Amit Dhawan

Motilal Nehru National Institute of Technology Allahabad

Maheswar

Dr Maheswar Rajagopal

KPR Institute of Engineering and Technology

Manish

Dr Manish Tiwari

Motilal Nehru National Institute of Technology Allahabad

Palanik Kumar

Dr Palanik Kumar Durai Thirunavukkarasu

Dr N G P Institute of Technology

Jayarajan

Dr Jayarajan P

Sri Krishna College of Technology, Coimbatore

Pravin

Dr Pravin Pisal

St Vincent Palloti College of Engineering and Technology

Radhakrishnan

Dr Radhakrishnan G

Sri Krishna College of Engineering and Technology

Shyam

Dr Shyam Akashe

ITM UNIVERSITY, GWALIOR

Venkatesh Kumar

Dr Venkatesh Kumar P

Karunya Institute of Technology and Sciences, Coimbatore

Vinoth Kumar

Dr Vinoth Kumar K

New Horizon College of Engineering

Scholarly Work

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Scholarly Publications

A 2 × 20 Gbps hybrid MDM-OFDM–based high-altitude platform-to-satellite FSO transmission system

Open Access
Article
Year: 2023. Volume: 44 , Issue: s1 , Pages: S1305-S1312 .
Authors: Gomathy V.M.;Sundararajan T.V.P.;Boopathi C.S.;Kumar P.V.;Kumar K.V.;Vidyarthi A.;Maheswar R.
DOI 10.1515/joc-2020-0075
12 3

NOMA -Spatial Modulation: Solving Power Allocation Issue via Improved Black Widow Optimization

Open Access
Article
Advances in Engineering Software. Year: 2023. Volume: 175 .
Authors: Kishor Jadhav ., Abhay Vidyarthi .,
DOI 10.1016/j.advengsoft.2022.103342
2

Adaptive Aquila Optimization Controlled Deep Convolutional Neural Network for Power Management in Supercapacitors/Battery of Electric Vehicles

Open Access
Article
Cybernetics and Systems. Year: 2023. Volume: 54 , Issue: 7 , Pages: 1062-1085 .
Authors: Pravin Subhash Pisal ., Abhay Vidyarthi .,
DOI 10.1080/01969722.2022.2157606
2 3

Optimal Guaranteed Cost Control of an Uncertain and Shift-Delayed 2-D Discrete FM First Model via Memory State Feedback

Open Access
Conference Paper
Year: 2022. Volume: 911 , Pages: 405-419 .
Authors: Pandiya G.P.;Vidyarthi A.;Tiwari M.;Dhawan A.;Maheswar R.
DOI 10.1007/978-981-19-2631-0_36
2

Optimal transmit antenna selection for non-orthogonal multiple access with improved lion algorithm

Open Access
Article
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS. Year: 2022. Volume: 35 , Issue: 18 .
Authors: Kishor Jadhav ., Abhay Vidyarthi .,
DOI 10.1002/dac.5327

Adaptive Congestion Prediction in Vehicular Ad-hoc Networks (VANET) Using Type-2 Fuzzy Model to Establish Reliable Routes

Open Access
Article
Wireless Personal Communications. Year: 2022. Volume: 125 , Issue: 4 , Pages: 3527-3548 .
Authors: Lokesh M. Giripunje ., Abhay Vidyarthi ., Shishir Kumar Shandilya .,
DOI 10.1007/s11277-022-09723-w
5 2

Routing and Congestion in Vehicular Ad-Hoc Networks (VANET’s): Characteristics, Challenges and Solutions

Open Access
Conference Paper
Year: 2022. Volume: 911 , Pages: 313-336 .
Authors: Lokesh M. Giripunje ., Abhay Vidyarthi ., Shishir Kumar Shandilya .,
DOI 10.1007/978-981-19-2631-0_29

A deep-RNN and meta-heuristic feature selection approach for IoT malware detection

Open Access
Article
Year: 2022.
Authors: Radhakrishnan G.;Srinivasan K.;Maheswaran S.;Mohanasundaram K.;Palanikkumar D.;Vidyarthi A.
DOI 10.1016/j.matpr.2021.01.207
11 2