| Reinforcement learning for intelligent healthcare applications: A survey A Coronato, M Naeem, G De Pietro, G Paragliola Artificial intelligence in medicine 109, 101964, 2020 | 329 | 2020 |
| A gentle introduction to reinforcement learning and its application in different fields M Naeem, STH Rizvi, A Coronato IEEE access 8, 209320-209344, 2020 | 246 | 2020 |
| Blockchain applications in sustainable smart cities GDP Zaib Ullah, Muddasar Naeem, Antonio Coronato, Patrizia Ribino Sustainable Cities and Society, 2023 | 60 | 2023 |
| A reinforcement learning and deep learning based intelligent system for the support of impaired patients in home treatment M Naeem, G Paragliola, A Coronato Expert Systems with Applications 168, 114285, 2021 | 49 | 2021 |
| Application of reinforcement learning and deep learning in multiple-input and multiple-output (MIMO) systems M Naeem, G De Pietro, A Coronato Sensors 22 (1), 309, 2021 | 46 | 2021 |
| Learning and assessing optimal dynamic treatment regimes through cooperative imitation learning SIH Shah, A Coronato, M Naeem, G De Pietro IEEE Access 10, 78148-78158, 2022 | 27 | 2022 |
| An intelligent environment for preventing medication errors in home treatment M Ciampi, A Coronato, M Naeem, S Silvestri Expert Systems with Applications 193, 116434, 2022 | 25 | 2022 |
| Risk management for nuclear medical department usingreinforcement learning algorithms MN Giovanni Paragliola Journal of Reliable Intelligent Environments 5 (2), 2019 | 24 | 2019 |
| Impact of AI-powered solutions in rehabilitation process: Recent improvements and future trends UB Khalid, M Naeem, F Stasolla, MH Syed, M Abbas, A Coronato International Journal of General Medicine, 943-969, 2024 | 23 | 2024 |
| An AI-empowered home-infrastructure to minimize medication errors M Naeem, A Coronato Journal of Sensor and Actuator Networks 11 (1), 13, 2022 | 23 | 2022 |
| Adaptive treatment assisting system for patients using machine learning M Naeem, A Coronato, G Paragliola 2019 sixth international conference on social networks analysis, management …, 2019 | 23 | 2019 |
| A reinforcement learning-based approach for the risk management of e-health environments: A case study G Paragliola, A Coronato, M Naeem, G De Pietro 2018 14th international conference on signal-image technology & internet …, 2018 | 23 | 2018 |
| A cnn based monitoring system to minimize medication errors during treatment process at home M Naeem, G Paragiola, A Coronato, G De Pietro Proceedings of the 3rd International Conference on Applications of …, 2020 | 21 | 2020 |
| An ai-empowered infrastructure for risk prevention during medical examination SIH Shah, M Naeem, G Paragliola, A Coronato, M Pechenizkiy Expert Systems with Applications 225, 120048, 2023 | 18 | 2023 |
| Optimal user scheduling in multi antenna system using multi agent reinforcement learning M Naeem, A Coronato, Z Ullah, S Bashir, G Paragliola Sensors 22 (21), 8278, 2022 | 17 | 2022 |
| A reinforcement learning based intelligent system for the healthcare treatment assistance of patients with disabilities A Coronato, M Naeem International Symposium on Pervasive Systems, Algorithms and Networks, 15-28, 2019 | 17 | 2019 |
| A near optimal scheduling algorithm for efficient radio resource management in multi-user MIMO systems M Naeem, S Bashir, Z Ullah, AA Syed Wireless Personal Communications 106 (3), 1411-1427, 2019 | 16 | 2019 |
| Performance comparison of scheduling algorithms for MU-MIMO systems N Muddasar, KM Bashir Sajid, S Aqeel A 2016 13th International Bhurban Conference on Applied Sciences and …, 2016 | 10 | 2016 |
| Defining a metric-driven approach for learning hazardous situations M Fiorino, M Naeem, M Ciampi, A Coronato Technologies 12 (7), 103, 2024 | 8 | 2024 |
| A hybrid multi-agent reinforcement learning approach for spectrum sharing in vehicular networks M Jamal, Z Ullah, M Naeem, M Abbas, A Coronato Future Internet 16 (5), 152, 2024 | 7 | 2024 |
Antonio CoronatoFull professor at Università Telematica Giustino FortunatoВерификована је имејл адреса на unifortunato.eu
