Repalle, AndhraPradesh, India-522002 premkumar.jones@gmail.com
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Conference Proceedings

  1. Snehit Shaprapawad and Premkumar Borugadda “A Novel Approach for Prediction of Liver Disease Using Voting Algorithm Based on Machine Learning Models” International Conference on Advanced Communications and Machine Intelligence, National Institute of Technology Warangal, Telangana, India 30-31 October, 2023 (Under Review)
  2. Premkumar Borugadda and N. Vinoda “Recommend Suitable Crops for Farmers in Precession Agriculture using Machine Learning Models” DST - SERB Sponsored International Conference on Mathematical Modelling and Emerging Trends in Computing (ICMMETC-2023) School of Technology, Woxsen University, Hyderabad, during June 23 -25, 2023. (Presented)
  3. Snehit Shaprapawad and Premkumar Borugadda “Deep Learning-Based Brain Tumor Classification: Unveiling Insights through Computer Vision Techniques”, DST - SERB Sponsored International Conference on Mathematical Modelling and Emerging Trends in Computing (ICMMETC-2023) School of Technology, Woxsen University, Hyderabad, during June 23 -25, 2023. (Presented)
  4. Archana Koyyada, Premkumar Borugadda and Sairam Vasa ‘Performance Analysis of Machine Learning Algorithms to Predict the Health Insurance Premium’, DST - SERB Sponsored International Conference on Mathematical Modelling and Emerging Trends in Computing (ICMMETC-2023) School of Technology, Woxsen University, Hyderabad, during June 23 -25, 2023. (Presented)
  5. Ch. Sai Anjani Kumar, Premkumar Borugadda and Sairam Vasa “Analyzing the Future of Adani Stocks: A Forecasting Approach Using ARIMA Model” DST - SERB Sponsored International Conference on Mathematical Modelling and Emerging Trends in Computing (ICMMETC-2023) School of Technology, Woxsen University, Hyderabad, during June 23 -25, 2023. (Presented)
  6. Ritika Kulkarni, Premkumar Borugadda and Snehit Shaprapawad “Predicting the Academic Success and Dropouts of Students using Machine Learning Classification Algorithms”, DST - SERB Sponsored International Conference on Mathematical Modelling and Emerging Trends in Computing (ICMMETC-2023) School of Technology, Woxsen University, Hyderabad, during June 23 -25, 2023. (Presented)
  7. Vemula Sai Kumar and PremKumar Borugadda “Prognosticating Employee Attrition Using Machine Learning Model” DST - SERB Sponsored International Conference on Mathematical Modelling and Emerging Trends in Computing (ICMMETC-2023) School of Technology, Woxsen University, Hyderabad, during June 23 -25, 2023. (Presented)
  8. Sandeep Argondawar and Premkumar Borugadda “Prediction of Loan Approval: A Comparative Analysis of Machine Learning Classification Algorithms”, DST - SERB Sponsored International Conference on Mathematical Modelling and Emerging Trends in Computing (ICMMETC-2023) School of Technology, Woxsen University, Hyderabad, during June 23 -25, 2023. (Presented)
  9. N. Siddartha and Premkumar Borugadda “A Machine Learning-Based Approach for Accurate Water Potability Prediction”, DST - SERB Sponsored International Conference on Mathematical Modelling and Emerging Trends in Computing (ICMMETC-2023) School of Technology, Woxsen University, Hyderabad, during June 23 -25, 2023. (Presented)
  10. K. Hariprasad and Premkumar Borugadda “Machine Learning Regression Models for Rainfall Forecasting: A Comparative Analysis” DST - SERB Sponsored International Conference on Mathematical Modelling and Emerging Trends in Computing (ICMMETC-2023) School of Technology, Woxsen University, Hyderabad, during June 23 -25, 2023. (Presented)
  11. Sairam Vasa, Rajesh Prabhakar Kaila, Premkumar Borugadda, MIRZA RAFATHULLA BAIG and Archana Koyyada “Technical Analysis of HDFC Bank Stock and Building Strategies” DST - SERB Sponsored International Conference on Mathematical Modelling and Emerging Trends in Computing (ICMMETC-2023) School of Technology, Woxsen University, Hyderabad, during June 23 -25, 2023. (Presented)
  12. Nirmala Koshiga and Premkumar Borugadda “Gold Price Prediction using Machine Learning Models” DST - SERB Sponsored International Conference on Mathematical Modelling and Emerging Trends in Computing (ICMMETC-2023) School of Technology, Woxsen University, Hyderabad, during June 23 -25, 2023. (Presented)
  13. Nirmala Koshika, Premkumar Borugadda and Snehit Shaprapawad “Prediction of Heart Disease Based on Machine Learning Algorithms”, 6th International Conference on “Inventive Computation Technologies (ICICT 2023)” 26-28, April 2023 at Tribhuvan University, Nepal, Proceedings in the IEEE Xplore with ISBN: 979-8-3503-9849-6 https://ieeexplore.ieee.org/document/10134422
  14. Sairam Vasa, Premkumar Borugadda and Archana Koyyada “A Machine Learning Model to Predict a Diagnosis of Brain Stroke”, 6th International Conference on “Inventive Computation Technologies (ICICT 2023)” 26-28, April 2023 at Tribhuvan University, Nepal, Proceedings in the IEEE Xplore with ISBN: 979-8-3503-9849-6 https://ieeexplore.ieee.org/document/10134192
  15. Snehit Shaprapawad, Premkumar Borugadda and Nirmala Koshika “Car Price Prediction: An Application of Machine Learning”, 6th International Conference on “Inventive Computation Technologies (ICICT 2023)” 26-28, April 2023 at Tribhuvan University, Nepal, Proceedings in the IEEE Xplore with ISBN: 979-8-3503-9849-6 https://ieeexplore.ieee.org/document/10134142
  16. Premkumar. B, R. Lakshmi and Prabhakar. N “Prediction of Health Insurance Premium: An Application of Machine Learning Regression Models”, Recent Trends, Innovations & Challenges in Business Management (RTICBM-2022)- 28th & 29th April 2022.
  17. Premkumar. B and R. Lakshmi “Supervised Based Classification Machine Learning Algorithms for Predicting Heart Disease”, International Conference on Emerging Trends in Intelligent Computing (ICoETIC)-2021, 8th August 2021.
  18. Premkumar. B, R. Lakshmi and N. Vinoda “Automatic Leaf Disease Recognition and Classification in Plants using Image Processing and Machine Learning Algorithms: A Review Article”, National Conference On “Integrated Approach for Sustainable Agriculture and Allied Sciences (IASAAS-2020)”, 24 & 25thJuly-2020.
  19. Satya Sangram Sahoo, Premkumar. B and R. Lakshmi, “Offline handwritten character classification of the same scriptural family languages by using transfer learning techniques”, 3rd International Conference On “Emerging Technologies in Computer Engineering: Machine Learning and Internet of Things (ICETCE-2020)”, 07th-08th Feb. 2020; Proceedings in the IEEE Xplore with ISBN: 978-1- 7281-1683-9 https://ieeexplore.ieee.org/abstract/document/9091744 (Scopus Indexed).
  20. Bichitrananda Behera, G. Kumaravelan and Premkumar. B (2019) “Performance Evaluation of Deep Learning Algorithms in Biomedical Document Classification”, 11thInternational Conference on Advanced Computing, 18-20 December 2019, 978-1-7281-5286-8/19/$31.00 ©2019 IEEE. DOI: 10.1109/ICoAC48765.2019.246843; Proceedings in the IEEE Xplore with ISBN: 978-1-7281-5286-8 https://ieeexplore.ieee.org/document/9087283 (Scopus Indexed)
  21. Premkumar. B, Dr. G. Suresh Kumar, Dr. G. Kumaravelan and Vinoda. N “A Survey of Machine Learning Algorithms in IoT Bases Wireless Sensor Network for Crop Yield Prediction in Precision Farming. “National Seminar on Contemporary Indian Business Practices In the Digital era (NSCIBP – 2019) April-June 2019.
  22. Satya Sangram Sahoo, Premkumar. B, Lakshmi R. (2021) Recognition of Sudoku with Deep Belief Network and Solving with Serialisation of Parallel Rule-Based Methods and Ant Colony Optimization. Springer Book Chapter on Data Science: Transactions on Computer Systems and Networks. Springer, Singapore. https://doi.org/10.1007/978-981-16-1681-5_11