Puppala Ramya

Employment

• Koneru Lakshmaiah Education Foundation Assistant Professor
  2020 - Present
• Gudlavalleru Engineering College Assistant Professor
  2018 - 2020
• Sri Sunflower College of Engineering and Technology Assistant Professor
  2017 - 2018

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (17)

• Continuous Integration, Delivery and Deployment: A Systematic Review of Approaches, Tools, Challenges and Practices
  Communications in Computer and Information Science 2024 DOI: 10.1007/978-3-031-59114-3_7
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• Rule Based Mamdani Fuzzy Inference System to Analyze Efficacy of COVID19 Vaccines
  EAI Endorsed Transactions on Pervasive Health and Technology 2024 DOI: 10.4108/eetpht.10.5571
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• Building Sustainable Communication: A Game-Theoretic Approach in 5G and 6G Cellular Networks
  Metaheuristics for Machine Learning: Algorithms and Applications 2024 DOI: 10.1002/9781394233953.ch9
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• Number Plate Recognition Using Optical Character Recognition (OCA) and Connected Component Analysis (CCA)
  Lecture Notes in Networks and Systems 2023 DOI: 10.1007/978-981-19-6880-8_3
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• Web Design as an Important Factor in the Success of a Website
  Lecture Notes in Networks and Systems 2023 DOI: 10.1007/978-981-19-6880-8_5
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• Software Development Estimation Cost Using ANN
  Lecture Notes in Networks and Systems 2023 DOI: 10.1007/978-981-19-6880-8_23
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• Optimized Deep Learning-Based E-Waste Management in IoT Application via Energy-Aware Routing
  Cybernetics and Systems 2023 DOI: 10.1080/01969722.2023.2175119
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• Machine Vision based Object Detection using Deep Learning Techniques
  Proceedings - 2023 3rd International Conference on Smart Data Intelligence, ICSMDI 2023 2023 DOI: 10.1109/ICSMDI57622.2023.00088
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• IoT-based Household Electronic Waste Management Systems for Electronic Waste Collection
  6th International Conference on Inventive Computation Technologies, ICICT 2023 - Proceedings 2023 DOI: 10.1109/ICICT57646.2023.10134184
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• E-waste management using hybrid optimization-enabled deep learning in IoT-cloud platform
  Advances in Engineering Software 2023 DOI: 10.1016/j.advengsoft.2022.103353
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