| Mental health in the tech industry: Insights from surveys and NLP analysis S Pillai, K Polimetla, R Avacharmal, AP Perumal Journal of Recent Trends in Computer Science and Engineering (JRTCSE) 10 (2 …, 2022 | 51 | 2022 |
| Beyond the Bin: Machine Learning-Driven Waste Management for a Sustainable Future. J. Recent Trends Comput. Sci. Eng. 11 (1), 16–27 (2023) S Pillai, K Polimetla, R Avacharmal, AP Perumal, SK Gopal Journal of Recent Trends in Computer Science and Engineering (JRTCSE) 11 (1 …, 2023 | 31 | 2023 |
| Forging Interdisciplinary Pathways: A Comprehensive Exploration of Cross-Disciplinary Approaches to Bolstering Artificial Intelligence Robustness and Reliability R Avacharmal, AKR Sadhu, SGR Bojja Journal of AI-Assisted Scientific Discovery 3 (2), 364-370, 2023 | 25 | 2023 |
| Navigating The Labyrinth: A Comprehensive Review Of Emerging Artificial Intelligence Technologies, Ethical Considerations R Avacharmal, L Gudala, S Venkataramanan And Global Governance Models In The Pursuit Of Trustworthy AI. Australian …, 2023 | 24 | 2023 |
| Unveiling the Pandora's Box: A Multifaceted Exploration of Ethical Considerations in Generative AI for Financial Services and Healthcare R Avacharmal, S Pamulaparthyvenkata, L Gudala Hong Kong Journal of AI and Medicine 3 (1), 84-99, 2023 | 23 | 2023 |
| Enhancing Algorithmic Efficacy: A Comprehensive Exploration of Machine Learning Model Lifecycle Management from Inception to Operationalization R Avacharmal, S Pamulaparthyvenkata Distributed Learning and Broad Applications in Scientific Research 8, 29-45, 2022 | 23 | 2022 |
| Leveraging Supervised Machine Learning Algorithms for Enhanced Anomaly Detection in Anti-Money Laundering (AML) Transaction Monitoring Systems: A Comparative Analysis of … R Avacharmal African Journal of Artificial Intelligence and Sustainable Development 1 (2 …, 2021 | 21 | 2021 |
| ADVANCES IN UNSUPERVISED LEARNING TECHNIQUES FOR ANOMALY DETECTION AND FRAUD IDENTIFICATION IN FINANCIAL TRANSACTIONS R Avacharmal NEUROQUANTOLOGY 20 (5 (2022)), 5570 - 5581, 2022 | 18 | 2022 |
| Leveraging reinforcement learning for advanced financial planning for effective personalization in economic forecasting and savings strategies R Avacharmal, A Balakrishnan, P Ranjan, MK Vandanapu, S Mulukuntla, ... 2024 15th International Conference on Computing Communication and Networking …, 2024 | 15 | 2024 |
| Transductive – Long Short-Term Memory Network for the Fake News Detection SEVS Pillai, R Avacharmal, RA Reddy, PK Pareek, P Zanke 3rd International Conference on Distributed Computing and Electrical …, 2024 | 14 | 2024 |
| Leveraging Machine Learning for Proactive Financial Risk Mitigation and Revenue Stream Optimization in the Transition Towards Value-Based Care Delivery Models S Pamulaparthyvenkata, R Avacharmal African Journal of Artificial Intelligence and Sustainable Development 1 (2 …, 2021 | 14 | 2021 |
| Explainable AI: Bridging the Gap between Machine Learning Models and Human Understanding R Avacharmal Journal of Informatics Education and Research 4 (2), 2024 | 13 | 2024 |
| Comprehensive investigation on Deep learning models: Applications, Advantages, and Challenges R Avacharmal, S Pamulaparthyvenkata, DK Pandiya, RK Prakash, ... 2024 15th International Conference on Computing Communication and Networking …, 2024 | 10 | 2024 |
| Intelligent Bankruptcy Prediction using Cutting-Edge N-Valued Interval Neutrosophic Sets for Classification V Mandala, R Avacharmal, P Chintale, RK Malviya, MK Vandanapu, ... International Journal of Neutrosophic Science 25 (2), 10-54216, 2025 | 8 | 2025 |
| Mitigating Annotation Burden in Active Learning with Transfer Learning and Iterative Acquisition Functions R Avacharmal, S Pamulaparthyvenkata, P Ranjan, S Mulukuntla, ... 2024 15th International Conference on Computing Communication and Networking …, 2024 | 7 | 2024 |
| Leveraging Interpretable Machine Learning for Granular Risk Stratification in Hospital Readmission: Unveiling Actionable Insights from Electronic Health Records S Pamulaparthyvenkata, R Avacharmal Hong Kong Journal of AI and Medicine 3 (1), 58-83, 2023 | 6 | 2023 |
| The Future of HCI Machine Learning, Personalization, and Beyond G Gupta, P Chintale, L Korada, AH Mahida, S Pamulaparthyvenkata, ... Driving Transformative Technology Trends With Cloud Computing, 309-327, 2024 | 1 | 2024 |
| Utilizing EHR in Machine Learning-Based Systems for Early Heart Disease Prediction in Healthcare Applications S Pamulaparthyvenkata, J Sharma, M Vishwanath, R Avacharmal, ... 2024 15th International Conference on Computing Communication and Networking …, 2024 | | 2024 |
| Implementing Artificial Intelligence in Salon Management: Revolutionizing Customer Relationship Management at PK Salon RA Akshay Agarwal, Bhanu Devaguptapu, Rahul Saoji, Savitha Naguri Tuijin Jishu/Journal of Propulsion Technology 45 (2(2024)), 1700 - 1712, 2024 | | 2024 |
| From Theory to Practice: Implementing Intelligent Systems in Engineering Applications RKK C. Aravindan, Rajiv Avacharmal, R. Premkumar, P. Ashokkumar, M. Haribabu Intelligent Systems in Engineering Applications. International Journal of …, 2024 | | 2024 |
Kiran PolimetlaUniversity of Phoenix, IEEE Senior MemberBestätigte E-Mail-Adresse bei adobe.com