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Muddasar Naeem
Muddasar Naeem
Università Telematica "Giustino Fortunato" Benevento, Italy
Bestätigte E-Mail-Adresse bei unifortunato.eu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Reinforcement learning for intelligent healthcare applications: A survey
A Coronato, M Naeem, G De Pietro, G Paragliola
Artificial intelligence in medicine 109, 101964, 2020
3212020
A gentle introduction to reinforcement learning and its application in different fields
M Naeem, STH Rizvi, A Coronato
IEEE access 8, 209320-209344, 2020
2442020
Blockchain applications in sustainable smart cities
GDP Zaib Ullah, Muddasar Naeem, Antonio Coronato, Patrizia Ribino
Sustainable Cities and Society, 2023
562023
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
462021
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
452021
Impact of AI-powered solutions in rehabilitation process: Recent improvements and future trends
U Khalid, M Naeem, F Stasolla, MH Syed, M Abbas, A Coronato
International Journal of General Medicine, 943-969, 2024
262024
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
252022
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
252022
An AI-empowered home-infrastructure to minimize medication errors
M Naeem, A Coronato
Journal of Sensor and Actuator Networks 11 (1), 13, 2022
232022
Risk management for nuclear medical department usingreinforcement learning algorithms
MN Giovanni Paragliola
Journal of Reliable Intelligent Environments 5 (2), 2019
232019
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
222019
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
222018
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
202020
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
172023
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
172022
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
172019
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
152019
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
102016
Defining a metric-driven approach for learning hazardous situations
M Fiorino, M Naeem, M Ciampi, A Coronato
Technologies 12 (7), 103, 2024
82024
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
62024
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