Dr. Kashi Sai Prasad
Papers Published
Journal Publications:
1. K. Sai Prasad & Rajender Miryala “Histopathological Image Classification Using Deep Learning Techniques” International Journal on Emerging Technologies 10(2): 467-473 (2019)
2. K. Sai Prasad “A Framework for Diagnosing Kidney Disease in Diabetes Patients Using Classification Algorithms” March 2020 SN Computer Science 1(2) Article number: 101 (2020) DOI:10.1007/s42979-020-0096-7
3. K. S. Prasad, S. Pasupathy, Deep Convolutional Neural Network Implementations For Efficient Brain Stroke Detection Using MRI Scans, Journal of Theoretical and Applied Information Technology, Vol.100. No 17, http://www.jatit.org/volumes/Vol100No17/14Vol100No17.pdf
4. Kashi Sai Prasad, S Pasupathy, “Real-time Data Streaming using Apache Spark on Fully Configured Hadoop Cluster”, J.Mech.Cont.& Math. Sci., Vol.-13, No.-5, November-December (2018) Pages 164-176.
5. K. Sai Prasad ” Analyzing and Prediction of Academic Performance of Students using Data Mining Techniques” JARDCS; Issue No:7 Special; ISSN No:1943–023X; 2018
6. K. Sai Prasad “A New Document representation approach for gender prediction using author profile ” Springer ISBN978-981-13-1580-0; 2018
7. K. Sai Prasad ” An Automated mechanism For Smart Packaging Line Management” IJMET; Volume 8 ISSN No: 0976-6359; JUNE 2017
8. K. SaiPrasad “Artificial Intelligence Approach For Classifying Molecular Dataset using Density based Technique with appropriate Euclidean Distance Measure” Elsevier Volume 4, Issue 8 ISSN: 2277–9655. 2016
9. K. Sai Prasad “Clustering and Classification of Molecular data using Artificial Intelligence” Elsevier Journal ICAAMM 2016 ISSN: 2277–9655. 2016
10. K. Sai Prasad “Research Article Authentic-Time Metropolis-Scale Taxi Ride sharing” IJCR; Volume 8, issue 11 Nov 2016
11. K. Sai Prasad “Mobile Recommendation System Using Mapreduce” Proceedings of the 6th International Conference on Communication and Electronics Systems, ICCES 2021, 2021, 9489212
12. K. Sai Prasad “Privacy preserving and data publishing using tuple grouping algorithm” Journal of Engineering and Applied Sciences, 2018, 13(4), pp. 930–933
13. K. Sai Prasad “A geographical factor of interest recommended strategies in location based social networks” International Journal of Engineering and Technology(UAE), 2018, 7(3.27 Special Issue 27), pp. 32–35
14. K. Sai Prasad “Fuzzy logics associated with neural networks in intelligent control for better world” International Journal of Reasoning-based Intelligent Systems, 2018, 10(3-4), pp. 322–327
15. K. Sai Prasad “Impact of Active Learning in Engineering Education”, Proceedings of the 6th IEEE International Conference on MOOCS Innovation and Technology In Education, MITE 2018, 2018, pp. 107–114, 8747038
16. K. Sai Prasad ” Featured Based Pattern Analysis using Machine Learning and Artificial Intelligence Techniques for Multiple Featured Dataset” Materials Today: Proceedings ICAAMM – 2016 4 (8), 9039–9048
17. K. S. Prasad, S. Pasupathy, P. Chinnasamy and A. Kalaiarasi, “An Approach to Detect COVID-19 Disease from CT Scan Images using CNN – VGG16 Model,” 2022 International Conference on Computer Communication and Informatics (ICCCI), 2022, pp. 1-5, doi: 10.1109/ICCCI54379.2022.9741050.
18. K. Sai Prasad ” The Development of 3D Fractal Shapes For MANdelbrot Snd Julia sets” IJPAM; Volume118; Issue No:15 Special; 2018
19. Kashi Sai Prasad, Dr. S. Pasupathy, A Machine Learning Framework with Hybrid Feature Engineering for Leveraging Brain Stroke Detection Performance, Mathematical Statistician and Engineering Applications, Vol. 71 No. 3s2 (2022): Special Issue on Mathematics Theory and its Contribution in Robotics and Computer Engineering
20. Sai Prasad, K., Pasupathy, S. (2023). Video-Based Abnormal Driving Behavior Detection and Risk Control Using Machine Learning. In: Mandal, J.K., Hinchey, M., Rao, K.S. (eds) Innovations in Signal Processing and Embedded Systems. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-1669-4_2
21. Prasad, K.S., Pasupathy, S. (2023). A Deep Learning Approach to Analyze Traffic Congestions for Effective Traffic Management. In: Gunjan, V.K., Suganthan, P.N., Haase, J., Kumar, A. (eds) Cybernetics, Cognition and Machine Learning Applications. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-1484-3_1
Subjects Taught
1. Cloud Computing
2. Bigdata Analytics
3. Predictive Analytics
4. Introduction to Analytics
5. Advance Database Engineering
6. Discrete Mathematical Structures
7. Data Mining
8. Artificial intelligence
9. Machine Learning
10. Research Methodology & IPR
11. Natural Language Processing
12. Deep Learning
14. Neural Networks
15. Soft Computing
Books Published
1. Cryptography and Network Security- Hitech Publications https://www.amazon.in/Cryptography-Network-Security-B-Madhuravani/dp/8129801183
2. Sai Prasad, Kashi, and S. Pasupathy. “Video-Based Abnormal Driving Behavior Detection and Risk Control Using Machine Learning.” Innovations in Signal Processing and Embedded Systems. Springer, Singapore, 2023. 9-21.
3. Prasad, K. Sai, and S. Pasupathy. “A Deep Learning Approach to Analyze Traffic Congestions for Effective Traffic Management.” Cybernetics, Cognition and Machine Learning Applications. Springer, Singapore, 2023. 1-8.
4. An Efficient Prediction of Kidney Disease Using Machine Learning Algorithms, By Ajmeera Kiran, C. Vinothini, C. Sathya, M. Jayanthi, K. Sai Prasad, P. Chinnasamy, Engineering, Science, and Sustainability, 1st Edition, 2023, CRC Press, eBook – ISBN9781003388982.
https://www.taylorfrancis.com/chapters/edit/10.4324/9781003388982-43/efficient-prediction-kidney-disease-using-machine-learning-algorithms-ajmeera-kiran-vinothini-sathya-jayanthi-sai-prasad-chinnasamy?context=ubx&refId=5b016597-f10a-476c-b4bb-a7641e565674
