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Dr. Shrivathsa TV

Assistant Professor - SG
    Artificial Intelligence and Machine Learning
    9113016736
    shrivathsa.ml@sode.edu.in
    • Ph.D
    Image Processing, Time series analysis, Diagnostic Analysis.
    4 Years 2 Months

      1. Vasudeva, S. T., Rao, S. S., Panambur, N. K., Shettigar, A. K., Mahabala, C., Kamath, P., Gowdru Chandrashekarappa, M. P., & Linul, E. (2022). Development of a Convolutional Neural Network Model to Predict Coronary Artery Disease Based on Single-Lead and Twelve-Lead ECG Signals. Applied Sciences, 12(15), 7711.
      2. Shrivathsa, T. V., Kalyan, C., Rao, S. S., Navin Karanth, P., Chakrapani, M., & Kamath, P. (2022). Development and performance evaluation of a coronary artery disease prediction system with transfer learned model based on single lead and multi-lead ECG & TMT-ECG signals. International Journal of Health Sciences, 6(S4), 8865–8890
      3. Adiga, K., Herbert, M. A., Rao, S. S., Shettigar, A. K., & Shrivathsa, T. V. (2024). Development of machine learning regression models for the prediction of tensile strength of friction stir processed AA8090/SiC surface composites. Materials Research Express, 11(7), 076517.
      4. Adiga, K., Herbert, M.A., Rao, S.S., Shettigar, A., Shrivathsa, T.V., Tapariya, R. (2024). Comparison of Response Surface Methodology (RSM) and Machine Learning Algorithms in Predicting Tensile Strength and Surface Roughness of AA8090/B4C Surface Composites Fabricated by Friction Stir Processing. In: Venkata Rao, R., Taler, J. (eds) Advanced Engineering Optimization Through Intelligent Techniques. AEOTIT 2023. Lecture Notes in Electrical Engineering, vol 1226. Springer, Singapore.
      5. Shrivathsa, T.V. et al. (2024). Predictive Intelligent System Development for Disease Classification in Diagnostic Applications. In: Venkata Rao, R., Taler, J. (eds) Advanced Engineering Optimization Through Intelligent Techniques. AEOTIT 2023. Lecture Notes in Electrical Engineering, vol 1226. Springer, Singapore.
      6. Shetty, A. K., Abijeet, T. K., Machado, J. W., & Shrivathsa, T. V. (2017). Design and Analysis of Piston using Aluminium Alloys. International Journal of Innovative Research in Advanced Engineering, 4(04), 1-6.

      1. Presented the research paper entitled “Identification And Control Of The Noise Level Of The Gearbox With Application Of Attenuation Blankets” in the 2 nd International Conference on Mechanical Engineering: Researches and Evolutionary Challenges-2024, organized by the National Institute of Technology Warangal, Telangana.
      Name: Dr. Shrivathsa TV
      Designation: Assistant Professor
      Department: AIML
      SMVITM, Bantakal
      Udupi- 574115

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