Publication

Patent Filed and Published Papers:

Patent Filed and Published: –
● “An Efficient Content-Based Remote Sensing Image Retrieval Using Artificial Neural Network”, application no 202221011722, filing date 04/03/2022, published 15/04/2022.
● “Deep learning-based sensitivity analysis of electric energy consumption in battery electric vehicles with different electric motors”, application no 202341032029, filing date 05/05/2023, published 23/06/2023.
● “Systematic approach to study the factors that have an impact on cyber defense using artificial intelligence techniques”, application no 202341032941, filing date 10/05/2023, published 18/08/2023.
● “Early Prognosis Of Kidney Diseases Along With Feature Extraction Technique Through Classification Models”, application no 202441000724, filing date 4/01/2024, published 9/02/2023.
● “Early And Accurate Prediction Of Kidney Diseases Using Algorithms Of Deep Learning”, application no 202441006260, filing date 31/01/2024, published 9/02/2024.

Paper Publish:
● Paper titled “A Novel Method for Averting Jamming Invasion in Wireless Network with Packet Hiding Methods”, International Journal of Emerging Trends in Engineering and Development (IJETED), Vol no:04, Issue no:04, month & year: June-July 2014.
● Paper titled “A Consignment complementary model based on Cloud splitting for the public Cloud”, International Journal Of Technological Exploration And Learning (IJTEL), Vol no:09, Issue no:04, month& year: August 2014.
● Paper titled “An approach for Prediction and Challenges in Coronavirus Surge using BigData & ML”, International Journal Of Current Science (IJCSPUB), Vol no:12, Issue no:04, month & year: November 2022. https://rjpn.org/ijcspub/viewpaperforall?paper=IJCSP22D1261
● Paper titled “Techniques Of Artificial Intelligence In Power System”, International Journal of Scientific Research and Engineering Development (IJSRED), Vol no:05, Issue no:06, month & year: Nov-Dec 2022. https://ijsred.com/volume5/issue6/IJSRED-V5I6P118.pdf
● Paper titled “A Novel Framework for Secured Offload Intensive Computation Tasks in Smartphones from the Mobile Device to the Cloud”, International Journal of Scientific Research in Engineering and Management (IJSREM), Volume:08, issue:04, April 2024
● Paper titled “Early Childhood Mortality Prediction”, International Journal of Engineering Science and Advanced Technology (IJESAT), Vol 24 Issue 04, APRIL, 2024. https://ijesat.com/ijesat/files/V24I0412_1713154923.pdf
● “A Review on Early Detection of Chronic Kidney Disease”. Journal of Scientific Research and Technology (JSRT), 2024, Vol. No. 2(4), Pages 35–43. https://doi.org/10.61808/jsrt96
● “Caviar Waterwheel Plant Optimization-Based Feature Selection for Early Stage Chronic Kidney Disease Big Data”. Educational Administration: Theory and Practice, Vol. No. 30 30(5) (2024), Page 1206–1215. https://kuey.net/index.php/kuey/article/view/3038, https://doi.org/10.53555/kuey.v30i5.3038
● “An effective role-oriented binary Walrus Grey Wolf approach for feature selection in early-stage chronic kidney disease detection”. Int Urol Nephrol (2024)., published in the International Urology and Nephrology (Springer Nature Link), https://doi.org/10.1007/s11255-024-04067-9
● “Artificial intelligence for early-stage detection of chronic kidney disease”, International Journal of Electrical and Computer Engineering (IJECE),p-ISSN 2088-8708, e-ISSN 2722-2578 with Vol. No. 14 Issue No. 4, Page No. 4775-4790 2024. DOI: https://doi.org/10.62226/ijarst20241396
● “A SHAP and Lime-based explainable AI solution for predicting chronic kidney diseases”, published in the International Journal of Advanced Research in Science and Technology, with Vol. No. 13 Issue No. 6, Impact factor 6.76 Page No. 1491-1497 and year of publication 2024 published by Institute of Advanced Engineering and Science (IAES). with DOI: https://doi.org/10.62226/ijarst20241396

Conference:
● Paper titled “A Study and Analysis of Various Scheduling Algorithms in Cloud Computing”, National Conference on Recent Innovation in Information, Communication, Technology and Management (RIICTeM-2015) on 21-22 May 2015 at VTU Kalaburagi.
● Paper titled “Predictive Modelling Techniques for Fraud Detection in Bank Cards Using Data Analysis and Deep Learning Approaches”, International Conference on Recent Advances in Science Technology, Engineering, and Management (ICRASTEM-2022) on 29-30 April 2022 at BrCE Bangalore.
● Paper titled “Prediction and Development of COVID-19 Using Machine Learning and Big Data”, International Conference on Recent Advances in Science Technology, Engineering and Management (ICRASTEM-2022) on 29-30 April 2022 at BrCE Bangalore.
● Participated in ISTE Sponsored 1st International Conference Mechanical Engineering –ICRIMAIBE 2022 organized by Navodaya Institute of Technology, Raichur held virtually on 29th -30th July 2022.
● Paper titled “Modelling Soil Fertilizer Levels and Crop Yield in Agriculture Using Machine Learning”, for IEEE 1st International Conference on Integrated Intelligence and Communication Systems (ICIICS), organized by Sharnbasva University, Kalaburagi on 24-25 November 2023. DOI: 10.1109/ICIICS59993.2023.10421341
● Paper titled “Congestion Control and Avoidance Scheme Using Mobile Nodes in Wireless Sensor Network”. In: Lin, F.M., Patel, A., Kesswani, N., Sambana, B. (eds) Accelerating Discoveries in Data Science and Artificial Intelligence II. ICDSAI 2023. Springer Proceedings in Mathematics & Statistics, vol 438. Springer, Cham. https://doi.org/10.1007/978-3-031-51163-9_32
● Paper titled “Predicting Chronic Kidney Disease using Machine Learning in the Early Stages” 2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS), Kalaburagi, India, 2023, pp. 1-8, IEEE, doi: 10.1109/ICIICS59993.2023.10420988.
● Paper titled “Early-Stage Chronic Kidney Disease Detection using Machine Learning with Bigdata”. International Conference Algorithms in Advanced Artificial Intelligence: ICAAAI-2023 (1st ed.). CRC Press. ,2024, CRC Press Taylor & Francis, Pages8, eBook ISBN :9781003529231, https://doi.org/10.1201/9781003529231
● “PCOS Screening Using Machine Learning and Ensemble Learning Techniques in a Smart Way”, published in the Intelligent Systems and Sustainable Computing Proceedings of ICISSC 2023, Indexed by SCOPUS, year of publication March 2025.

MOOCS Courses: (NPTEL/Coursera):
1. Big Data Computing (8-week course Aug-Oct 2023)
2. Introduction to Internet of Things (12-week course, Jul-Oct 2023
3. Data Analytics with Python (12 Weeks course, Jan-Apr 2024)
4. Python for Data Science (4 Weeks course, Jan-Feb 2024)