Ministry of Education
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Mr Naresh Kumar Pegada

vidwan id: 332592
Male

Assistant Professor, Department of Computer Science and Engineering Data Science
K.G Reddy College of Engineering & Technology

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Expertise

  • Computer Science Software Engineering

Publications

Total Articles 4
Books 0
Proceedings 0

Publications

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Scopus

Citations 22
h-index 2

CrossRef

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Citations 18
h-index 1
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Professional Recognition

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Community & Membership

2022

BoS

Member

IEEE

2022
Faculty

CSTA

2021
Faculty

Bio

Computer Science Software Engineering

Personal Details

  • Male
  • Assistant Professor , K.G Reddy College of Engineering & Technology
  • Department of Computer Science and Engineering Data Science , K.G Reddy College of Engineering and Technology
M.Tech
Other Institute 2011
B.Tech
Other Institute 2007
Intermediate (10+2)
Other Institute 2003
SSC
Other Institute 2001
Assistant Professor Jan 2021 – Present
K.G Reddy College of Engineering & Technology | Department of Computer Science and Engineering Data Science
Assistant Professor Aug 2019 – Nov 2020
Ashoka Institute of Engineering and Technology, Nalgonda | Computer Science and Engineering
Assistant Professor Jun 2011 – Jul 2019
MVR College of Engineering & Technology, Beside Hanuman Statue on NH-9, Paritala, Vijayawada Rural, PIN-521180(CC-8H)
Assistant Professor Nov 2008 – May 2011
Sri Sarathi Institute of Engineering & Technology, Nuzvid, PIN-521 201.(CC-54)

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Co-Authors (6)

Pravin P

Dr Pravin P Patil

Bharati Vidyapeeth

Azra

Azra Fathima

K.G Reddy College of Engineering & Technology

Kaliappan

Dr Kaliappan S

Velammal Institute of Technology

Mradula

Ms Mradula Sharma

Jaypee Institute of Information Technology, Noida

V Senthil Kumar

Dr V Senthil Kumar

TRP Engineering College (New)

Vetrithangam

Dr Vetrithangam D

Chandigarh University

Scholarly Work

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Cloud IOT Based Monitoring and Detection of Potholes in Roads and Dangerous holes in Living area

IPR Patent
Engineering and Technology Application No. : 202111051858 Filed : 12-11-2021
Published : N/A Published

Automated IoT based Smart Harmful Toxic Gases and Environment Monitoring system using Artificial intelligence and Machine Learning

IPR Patent
Physical Sciences Application No. : 202111040150 Filed : 04-09-2021
Published : 10-09-2021 Published

Scholarly Publications

State-of-the-art review on the models, techniques, and datasets to diagnose covid-19 disease

Open Access
Book Chapter
Year: 2023. Pages: 208-233 .
Authors: Vetrithangam D.;Pegada N.K.;Himabindu R.;Arunadevi B.;Kumar A.R.
DOI 10.4018/978-1-6684-6519-6.ch014

CORONARY ARTERY DISEASE PREDICTION BASED ON OPTIMAL FEATURE SELECTION USING IMPROVED ARTIFICIAL NEURAL NETWORK WITH META-HEURISTIC ALGORITHM

Open Access
Article
Year: 2022. Volume: 100 , Issue: 24 , Pages: 4771-4782 .
Authors: Vetrithangam D.;Senthilkumar V.;Neha ;Kumar A.R.;Kumar P.N.;Sharma M.
9

IoT-Based Harmful Toxic Gases Monitoring and Fault Detection on the Sensor Dataset Using Deep Learning Techniques

Open Access
Article
Scientific Programming. Year: 2022. Volume: 2022 .
Authors: Praveenchandar J.;Vetrithangam D.;Kaliappan S.;Karthick M.;Pegada N.K.;Patil P.P.;Rao S.G.;Umar S.
DOI 10.1155/2022/7516328
18 13

A Survey on Various Image Analysis Techniques

Open Access
Conference Paper
AIP Conference Proceedings. Year: 2022. Volume: 2555 .
Authors: Pegada N.K.;Vetrithangam ;Fathima A.;Arunadevi
DOI 10.1063/5.0108909