| Fourth industrial revolution: an impact on health care industry J Prisilla, M Iyyanki, A Mothkuri, P Vadakattu International Conference on Applied Human Factors and Ergonomics, 58-69, 2019 | 21* | 2019 |
| Disease diagnosis and treatment using deep learning algorithms for the healthcare system NK Chaubey, J Prisilla Applications of Deep Learning and Big IoT on Personalized Healthcare …, 2020 | 11 | 2020 |
| Convolution Neural Networks: A Case Study on Brain Tumor Segmentation in Medical Care J Prisilla, Iyyanki, V, MuraliKrishna Proceedings of the International Conference on ISMAC in Computational Vision …, 2018 | 8 | 2018 |
| The potential of quantum computing in healthcare P Jayanthi, BK Rai, I Muralikrishna Technology Road Mapping for Quantum Computing and Engineering, 81-101, 2022 | 7 | 2022 |
| Machine learning and deep learning algorithms in disease prediction: Future trends for the healthcare system P Jayanthi Deep Learning for Medical Applications with Unique Data, 123-152, 2022 | 4 | 2022 |
| Machine learning for health data analytics: a few case studies of application of regression M Iyyanki, J Prisilla, V Manickam Challenges and Applications for Implementing Machine Learning in Computer …, 2020 | 4 | 2020 |
| Deep learning in oncology—a case study on brain tumor P Jayanthi, IV MuraliKrishna, E Esther,Y International Journal Cancer Research & Therapy 3 (1), 1-5, 2018 | 4* | 2018 |
| The Prediction Analysis of COVID-19 Cases Using ARIMA and KALMANFilter Models: A Case of Comparative Study MK Iyyanki, J Prisilla Internet of Medical Things for Smart Healthcare, Studies in Big Data, 25, 2020 | 3 | 2020 |
| Extraction of Tumor Chunk Using Image Segmentation: Thresholding and HSV Color Space J Prisilla, M Iyyanki International Conference on Advances in Computational Intelligence and …, 2019 | 3* | 2019 |
| LIME Approach in Diagnosing Diseases–A Study on Explainable AI I Muralikrishna, P Jayanthi Explainable Artificial Intelligence for Biomedical Applications, 17-31, 2023 | 2 | 2023 |
| A comparative study on fully convolutional networks—FCN-8, FCN-16, and FCN-32: A case of brain tumor P Jayanthi, IVM Krishna Deep Learning for Medical Applications with Unique Data, 19-30, 2022 | 2 | 2022 |
| Cryptography in the Healthcare Sector With Modernized Cyber Security J Prisilla, M Iyyanki Quantum Cryptography and the Future of Cyber Security, 163-183, 2020 | 2* | 2020 |
| ARIMA Model to Predict the Covid-19 Pandemic Cases in Telangana State P Jayanthi, I Muralikrishna 2021 IEEE International India Geoscience and Remote Sensing Symposium …, 2021 | 1 | 2021 |
| Crude Birth Rate and Crude Mortality Rate in India: A Case of Application of Regression in Healthcare J Prisilla, M Iyyanki Aging - Life Span and Life Expectancy, 2020 | 1 | 2020 |
| Deep Learning Techniques for Prediction, Detection, and Segmentation of Brain Tumors J Prisilla, M Iyyanki Deep Neural Networks for Multimodal Imaging and Biomedical Applications, 118-154, 2020 | 1* | 2020 |
| Decision Trees for Predicting Brain Tumors: A Case Study in Health Care P Jayanthi, IV MuraliKrishna, B Pavani, C Sushmitha, G Chandana, ... Advances in Intelligent Systems and Computing, 921- 928, 2019 | 1 | 2019 |
| A Distinct Cyberattack: Phishing G Prisilla, Jayanthi Progress in Advanced Computing and Intelligent Engineering, 305-312, 2018 | 1 | 2018 |
| CNN-Based Assistive Technology Platform for Hearing Impairments Individuals PRKS Bhama, VS Keerthana, B Swasthi, KB Ancheri, P Jayanthi Fourth Congress on Intelligent Systems: CIS 2023, Volume 3 3, 153, 2024 | | 2024 |
| MACHINE LEARNING APPLICATION FOR CARBON ESTIMATION–A CASE STUDY P Jayanthi, I Muralikrishna ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2023 | | 2023 |
| A Novel Approach of COVID-19 Estimation Using GIS and Kmeans Clustering: A Case of GEOAI I MuraliKrishna, P Jayanthi Explainable Machine Learning for Multimedia Based Healthcare Applications …, 2023 | | 2023 |
Muralikrishna Venkata IyyankiProfessor in Geospatial TechnologyVerified email at berkeley.edu
