Dr. Rudresh Deepak Shirwaikar

Publication

• Shirwaikar, R. D., Acharya, U. D., Lamgaonkar, Y. E., Lal, S. M., “A Novel Application to Develop Illness Severity Scores for Predicting Mortality and Morbidities in a Neonatal Intensive Care Unit (NICU)”, Journal of Physics: Conference Series, Vol. 2571(1), 012018, Oct 2023. (Scopus / UGC)
• Shirwaikar, R. D., Vishwanath, T., Jaiswal, W. M., Yashaswini, M., “Social Media Data Extraction for Disaster Management Aid Using Deep Learning Techniques”, Remote Sensing Applications: Society and Environment (Elsevier), Vol. 30, 100961, April 2023. (SCI / Scopus / Web of Science)
• Shirwaikar, R. D., Sarwari, I., Najam, M., Shama H. M., “Has Machine Learning Enhanced the Diagnosis of Autism Spectrum Disorder?”, Critical Reviews in Biomedical Engineering, Vol. 51, Issue 1, 2023, pp. 1–1. (Scopus / Web of Science)
• Shirwaikar, R. D., Thalakottor, L. A., Pothamsetti, P. T., Mathews, L. M., “Classification of Histopathological Images from Breast Cancer Patients Using Deep Learning: A Comparative Analysis”, Critical Reviews in Biomedical Engineering, Vol. 51, Issue 4, 2023, pp. 1–62. (Scopus / UGC)
• Shirwaikar, R., Shama H. M., “Optical Wireless Communication for 6G Networks”, Smart Innovation, Systems and Technologies: Information Systems for Intelligent Systems, Vol. 324, Springer, 2023. (SCI / Scopus / UGC)
• Shirwaikar, R. D., Teja, M. C., Jayachandra, G. S., “Automated Fish Classification Using Convolutional Neural Networks”, Lecture Notes in Networks and Systems, Vol. 623, Springer, 2023. (SCI / Scopus / UGC)
• Shirwaikar, R. D., Sudharani, L., Mathews, L., “CNN-Based Video Surveillance for Fire and Localization Detection”, 2022 Fourth International Conference on Cognitive Computing and Information Processing (CCIP), IEEE, 2022. (Scopus / UGC)
• Shirwaikar, R. D., Tandon, A., Sathesh Kumar, K., “Artificial Intelligence Enabled Additive Manufacturing System Using 5G and Industrial IoT”, International Journal of Engineering Systems Modelling and Simulation, Vol. 13, No. 4, 2022. DOI: 10.1504/IJESMS.2022.10044966. (Scopus / UGC)
• Shirwaikar, R. D., Ramesh, K., Faisal, A. M., Jeshwanth, M., Raghav, A., “3D Segmentation of Brain Tumour”, International Journal of Engineering Systems Modelling and Simulation, Online First, 2022. DOI: 10.1504/IJESMS.2022.10047159. (Scopus / UGC)
• Shirwaikar, R. D., Faisal, A. M., Singh, A., Shanbhag, D. D., “A Review on Privacy and Security in 6G Networks”, IEEE International Conference on Forensics, Analytics, Big Data, Security (FABS), 2021, pp. 1–6. DOI: 10.1109/FABS52071.2021.9702654. (Scopus / UGC)
• Shirwaikar, R. D., Ramesh, K., Hiremath, A., “A Survey on Brain Tumor Detection Using Machine Learning”, IEEE International Conference on Forensics, Analytics, Big Data, Security (FABS), 2021, pp. 1–6. DOI: 10.1109/FABS52071.2021.9702583. (Scopus / UGC)
• Shirwaikar, R. D., Acharya, D., Makkithaya, K., Surulivelrajan, M., “Estimation of Aminophylline Effectiveness at Neonatal Intensive Care Unit (NICU) Using Artificial Intelligence”, Malaysian Journal of Medicine and Health Sciences, Vol. 16, pp. 47–54, August 2020. (Scopus / UGC)
• Shirwaikar, R. D., Acharya, D., Parate, T., Lewis, L. E. S., “Risk Stratification of Neonates Using Machine Learning Techniques”, IEEE International Conference on Distributed VLSI, Electrical Circuits & Robotics (DISCOVER), Oct 30–31, 2020. (Scopus / Web of Science)
• Shirwaikar, R. D., Acharya, D., Makkithaya, K., Surulivelrajan, M., Srivastava, S., Lewis, L. E. S., “Optimizing Neural Network for Medical Data Sets: A Case Study on Neonatal Apnea Prediction”, Artificial Intelligence in Medicine (Elsevier), Vol. 98, pp. 59–76, July 2019. (SCI / Scopus / Web of Science)