P SRINIVASA REDDY

Employment

• Koneru Lakshmaiah Education Foundation, Bowrampet, Hyderabad-500043, Telangana, Assistant Professor
  2024 - Present
• MLR Institute of Technology ASSOCIATE PROFESSOR
  2018 - Present
• Bharat Institute of Engineering and Technology ASSISTANT PROFESSOR
  2015 - 2018
• KSRM COLLEGE OF ENGINEERING ASSISTANT PROFESSOR
  2012 - 2015

Education

• KSRM COLLEGE OF ENGINEERING M.TECH
  2010 - 2012
• ST JOHNS COLLEGE OF ENGINEERING AND TECHNOLOGY B.TECH
  2005 - 2009

Projects & Funding

Projects & funding information is unavailable.

Publications (8)

• A Multi-Phase Framework for Detection and Mitigation of Intentional Packet Dropping Attacks in Mobile Ad Hoc Networks
  International Journal of Computational Methods and Experimental Measurements 2025 DOI: 10.56578/ijcmem130414
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• Comprehensive Approach to Addressing Misbehaving and Unintentional Packet Drops Nodes in MANETs to Improve the Network Performance
  International Journal of Computational Methods and Experimental Measurements 2025 DOI: 10.18280/ijcmem.130112
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• Brain Tumor Detection Using Hybrid Deep Learning Approaches
  2024 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES) 2024 DOI: 10.1109/icses63760.2024.10910697
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• Rural Ecosystem Monitoring in Food Security Analysis Based on Sustainable Agriculture: Artificial Intelligence Application
  Remote Sensing in Earth Systems Sciences 2024 DOI: 10.1007/s41976-024-00166-4
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• Traffic Rules Violation Detection using Machine Learning Techniques
  2021 6th International Conference on Communication and Electronics Systems (ICCES) 2021 DOI: 10.1109/icces51350.2021.9488998
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• Face Mask Detection using Machine Learning Techniques
  2021 5th International Conference on Trends in Electronics and Informatics (ICOEI) 2021 DOI: 10.1109/icoei51242.2021.9452826
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• Join Operations to Enhance Performance in Hadoop MapReduce Environment
  Advances in Intelligent Systems and Computing 2017 DOI: 10.1007/978-981-10-3156-4_51
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• Evaluating the Performance of Tree Based Classifiers Using Zika Virus Dataset
  Innovations in Computer Science and Engineering 2017 DOI: 10.1007/978-981-10-3818-1_7
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