Rayudu,M.S.

Employment

• VNR Vignana Jyothi College of Engineering and Technology Professor
  2025 - Present
• VNR Vignana Jyothi College of Engineering and Technology Professor
  2018 - 2025
• VNR Vignana Jyothi College of Engineering and Technology Asst.Prof
  1998 - 2003
• Vasavi College of Engineering Asst.Prof
  1998 - 1998
• RGM college of engineering and Technology Asst.Professor
  1997 - 1998

Education

• Jawaharlal Nehru Technological University PhD
  2007 - 2017
• AU college of engineering ME
  1994 - 1997
• JNTU College of Engineering KAKINADA B.Tech
  1990 - 1994

Projects & Funding

Projects & funding information is unavailable.

Publications (45)

• Identification of Cardiac Risk from Retinal Fundus Image Using Hybrid CNN-Transformer-Ensemble Model
  Lecture Notes in Networks and Systems 2026 DOI: 10.1007/978-981-96-8399-4_14
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• Machine Learning-Based Prediction of Mushroom Edibility Using Morphological Traits and Regularized Classification Models
  Ingenierie Des Systemes D Information 2026 DOI: 10.18280/isi.310419
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• Weed Detection and Management in Agriculture Using Satellite Technology: A Review
  Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering Lnicst 2026 DOI: 10.1007/978-3-031-92614-3_22
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• Enhancing ASR Performance in the Medical Domain for Dravidian Languages
  Arxiv 2026 DOI: 10.48550/arXiv.2604.19797
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• Comparative Analysis of Dust Classification on Solar Panels Using Deep Learning Approaches
  2025 IEEE International Conference for Women in Innovation, Technology & Entrepreneurship (ICWITE) 2025 DOI: 10.1109/icwite64848.2025.11307080
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• Artificial Intelligence in the Detection of Knee Joint Injuries: A Comprehensive Review
  Icrteect 2025 2nd International Conference on Recent Trends in Electrical Electronics and Computing Technologies 2025 DOI: 10.1109/ICRTEECT67512.2025.11448656
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• Feature Engineering for Early Detection and Severity Classification of Dementia using Machine Learning
  Icrteect 2025 2nd International Conference on Recent Trends in Electrical Electronics and Computing Technologies 2025 DOI: 10.1109/ICRTEECT67512.2025.11448688
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• IoT based Fault Detection in Dusty Solar Panels using Modified DenseNet121
  2024 4th International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies, ICAECT 2024 2024 DOI: 10.1109/ICAECT60202.2024.10469295
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• Solar Panel Fault Analysis Using Regression Models
  Proceedings of 4th International Conference on Artificial Intelligence and Smart Energy 2024
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• Solar Panel Fault Detection Using Low Complex Convolution Neural Network Deep Learning Model
  International Journal of Engineering Trends and Technology 2024 DOI: 10.14445/22315381/IJETT-V72I8P103
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