Dr.G Yedukondalu

About

Dr.G.Yedukondalu was graduated in Electronics and Communication Engineering from V.R.Siddhartha Engineering college Vijayawada under Nagarjuna University. He received masters and Doctoral degrees from Jawaharlal Nehru Technological University(JNTUH) Hyderabad in Compuetr Science and Engineering dicipline. He worked 3 years in Efftronics Systems Pvt. Ltd Vijayawada as a manager. Worked 3 years in Naresh i Technologies Hyderabad as a faculty member to teach Java Programing. Since2007, who is actively working as a Professor and Researcher in Computer Science and Engineering Education till to date. He contributed 30 journal publications in the scopus and peer reviewed journal publications. Guided 250 B.Tech projects and 30 M.Tech projects. He won work excellence award from Ministry of Indian Railways and two national awards, one is Uttama Acharya and other is Adarsh Acharya in the year 2019. Won best paper presentation award in ICCSI2016 in Springer session. He is a reviewer for CBIT, Gurunanak and other reputed institutionsin Hyderabad.

Employment

Employment history is unavailable.

Education

• Jawaharlal Nehru Technological University Hyderabad Ph.D
  ? - 2020
• Jawaharlal Nehru Technological University Hyderabad M.Tech in Computer Science
  ? - 2008
• Velagapudi Ramakrishna Siddhartha Engineering College B.Tech
  ? - 1992

Projects & Funding

Projects & funding information is unavailable.

Publications (9)

• A Hybrid Machine Learning Model to Recognize and Detect Plant Diseases in Early Stages
  International Journal on Recent and Innovation Trends in Computing and Communication 2023 DOI: 10.17762/ijritcc.v11i9s.7390
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• Ensemble Deep Learning Models for Collaborative Filtering Recommendations
  International Journal of Intelligent Systems and Applications in Engineering 2023
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• Inbuilt Framework Using IoT and Computer Vision Technique for Automatic Visitor Management
  7th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2023 - Proceedings 2023 DOI: 10.1109/ICECA58529.2023.10395247
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• Optimization of Irrigation and Herbicides Using Artificial Intelligence in Agriculture
  International Journal of Intelligent Systems and Applications in Engineering 2023
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• MOCF: A Multi-Objective Clustering Framework using an Improved Particle Swarm Optimization Algorithm
  International Journal on Recent and Innovation Trends in Computing and Communication 2022 DOI: 10.17762/ijritcc.v10i10.5743
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• Antifraud Model for Internet Loan Using Machine Learning
  Proceedings of the 5th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2021 2021 DOI: 10.1109/ICECA52323.2021.9675968
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• Comparison of methods of prediction of compressive strength of concrete using multiple linear regression in microsoft excel and artificial neural networks in RStudio
  AIP Conference Proceedings 2021 DOI: 10.1063/5.0058070
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• Intrusion Detection System Framework Using Machine Learning
  Proceedings of the 3rd International Conference on Inventive Research in Computing Applications, ICIRCA 2021 2021 DOI: 10.1109/ICIRCA51532.2021.9544717
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• Host-Based Intrusion Detection System Using File Signature Technique
  Lecture Notes in Networks and Systems 2017 DOI: 10.1007/978-981-10-3818-1_25
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