Mr Rakesh Chandra Joshi
Research Scholar
| Department of Computer Science and Engineering
Dr.A.P.J. ABDUL KALAM TECHNICAL UNIVERSITY ,LUCKNOW
(2020 - 2024)
Uttar Pradesh
Expertise:
Computer Science Artificial Intelligence
59
Publications
0
Projects
88
Scopus Citations
1125
CrossRef
5 Years 6 Months Total Experience
Scopus
88
Citations
5
h-index
CrossRef
1,125
Citations
16
h-index
Google Scholar
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Professional Recognition
GATE Fellowship
2016
Government of India
Junior Research Fellowship
2019
Department of Science and Technology, Govt. of India
Deen Dayal Upadhyay Quality Improvement Program Fellowship
2020
Dr. A.P.J. Abdul Kalam Technical University and Govt of U.P.
Community & Membership
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Institute of Electrical and Electronics Engineers (IEEE)
MemberInternational Association of Engineers (IAENG)
Lifetime MembershipPersonal Details
Master of Technology
2018
Jaipur National University Jaipur
Bachelor of Technology
2015
Tana Bhagat College
Research Scholar
Nov 2020 – Aug 2024
Dr.A.P.J. ABDUL KALAM TECHNICAL UNIVERSITY ,LUCKNOW
| Department of Computer Science and Engineering
Junior Research Fellow
Jul 2019 – Oct 2020
Dr.A.P.J. ABDUL KALAM TECHNICAL UNIVERSITY ,LUCKNOW
| Department of Computer Science and Engineering
Assistant Professor
Mar 2019 – Jul 2019
RAJSHREE INSTITUTE OF MANAGEMENT AND TECHNOLOGY, BAREILLY
Engineering and Technology
Scholarly Work
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Artificial Intelligence based COVID-19 Screening Tool based on Analysis of X-Ray Images
Dr. A.P.J. Abdul Kalam Technical University
-
Application No. :
202011024438
Filed :
16-06-2021
Published :
29-04-2022
Published
Multi Mode Real-Time Object Detector and Obstacle Aware Assistive System for Visually Impaired Person (VIP)
Dr. A.P.J. Abdul Kalam Technical University
-
Application No. :
201911047766
Filed :
22-11-2019
Published :
28-05-2021
Published
Scholarly Publications
A Low Cost and Computationally Efficient Approach for Occlusion Handling in Video Surveillance Systems
Open AccessEfficient multi-object detection and smart navigation using artificial intelligence for visually impaired people
Open Access
10.3390/e22090941
Crossref: 108
YOLO-v3 Based Currency Detection and Recognition System for Visually Impaired Persons
10.1109/ic3a48958.2020.233314
Crossref: 37
Fusion of Object Recognition and Obstacle Detection approach for Assisting Visually Challenged Person
10.1109/TSP49548.2020.9163434
Crossref: 26
Efficient Convolutional Neural Network Based Optic Disc Analysis Using Digital Fundus Images
10.1109/TSP49548.2020.9163560
Crossref: 8
VirLeafNet: Automatic analysis and viral disease diagnosis using deep-learning in Vigna mungo plant
10.1016/j.ecoinf.2020.101197
Crossref: 97
Dense convolutional neural networks based multiclass plant disease detection and classification using leaf images
10.1016/j.ecoinf.2021.101289
Crossref: 249
Cytokine gene variants and socio-demographic characteristics as predictors of cervical cancer: A machine learning approach
10.1016/j.compbiomed.2021.104559
Crossref: 34
Showing 1 to 8 of 59 publications