| An Expert System‐Based Clinical Decision Support System for Hepatitis‐B Prediction & Diagnosis N Panigrahi, I Ayus, OP Jena Machine Learning for Healthcare Applications, 57-75, 2021 | 48 | 2021 |
| Comparison of machine learning and deep learning techniques for the prediction of air pollution: a case study from China I Ayus, N Natarajan, D Gupta Asian Journal of Atmospheric Environment 17 (4), 2023 | 28 | 2023 |
| A comprehensive review of COVID-19 detection with machine learning and deep learning techniques S Das, I Ayus, D Gupta Health and Technology 13 (4), 679-692, 2023 | 22 | 2023 |
| Short-Term Prediction of Wind Power Density Using Convolutional LSTM Network. D Gupta, V Kumar, I Ayus, M Vasudevan, N Natarajan FME Transactions 49 (3), 2021 | 18 | 2021 |
| Prediction of Water Level Using Machine Learning and Deep Learning Techniques I Ayus, N Natarajan, D Gupta Iranian Journal of Science and Technology, Transactions of Civil Engineering …, 2023 | 14 | 2023 |
| A novel hybrid ensemble based Alzheimer’s identification system using deep learning technique I Ayus, D Gupta Biomedical Signal Processing and Control 92, 106079, 2024 | 8 | 2024 |
| Identification of biomarker genes for human immunodeficiency virus using ensemble approach B Baruah, I Ayus, MP Dutta Advanced Machine Intelligence and Signal Processing, 637-648, 2022 | 8 | 2022 |
| Clinical applications implementation in neuro-oncology using machine learning approaches B Jena, I Ayus, S Saxena Radiomics and Radiogenomics in Neuro-Oncology, 251-265, 2024 | 3 | 2024 |
| A Decision Support System Using Rule-Based Expert System for COVID-19 Prediction and Diagnosis I Ayus, N Panigrahi Applications of Artificial Intelligence in COVID-19, 119-140, 2021 | 2 | 2021 |
| Fundamentals pipelines of radiomics and radiogenomics (RnR) I Ayus, B Jena, S Saxena Radiomics and Radiogenomics in Neuro-Oncology, 3-21, 2024 | 1 | 2024 |
| Enhancing Interstitial Lung Disease Diagnosis Through Deep Learning Frameworks B Jena, I Ayus, S Palei, S Saxena 2023 2nd International Conference on Ambient Intelligence in Health Care …, 2023 | 1 | 2023 |
| Recent Advances in Multimodal Machine Learning for Parkinson's Disease Diagnosis: A Comprehensive Review I Ayus, C Azad 2023 2nd International Conference on Ambient Intelligence in Health Care …, 2023 | 1 | 2023 |
| 5 Machine Learning Methods for Predicting Freezing of Gait in Parkinson’s Disease Patients I Ayus, C Azad Machine Learning for Neurodegenerative Disorders: Advancements and …, 2025 | | 2025 |
| Machine learning approaches for epilepsy analysis in current clinical trials I Ayus, B Jena Signal Processing Strategies, 175-193, 2025 | | 2025 |
| Machine and deep learning-based methods for genotype O (6)-methylguanine-DNA-methyltransferase status prediction I Ayus, B Jena Radiomics and Radiogenomics in Neuro-Oncology, 35-47, 2025 | | 2025 |
| Risk Prediction of Freezing of Gaits Episodes in Parkinson's Patients Using Gated Recurrent Unit I Ayus, C Azad 2024 3rd Odisha International Conference on Electrical Power Engineering …, 2024 | | 2024 |
Dr. Niranjan PanigrahiParala Maharaja Engineering College, BerhampurVerified email at pmec.ac.in
