Muddasar Naeem

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 25

Top Topics

Risk Management

Reinforcement Learning Algorithms

Gentle Introduction

Top Venues

Intelligent Environments (Workshops)

Expert Syst. Appl.

Publications

Mansoor Jamal, Zaib Ullah, Muddasar Naeem, Musarat Abbas, Antonio Coronato
A Hybrid Multi-Agent Reinforcement Learning Approach for Spectrum Sharing in Vehicular Networks. Future Internet 16 (5) (2024)
Syed Ihtesham Hussain Shah, Muddasar Naeem, Giovanni Paragliola, Antonio Coronato, Mykola Pechenizkiy
An AI-empowered infrastructure for risk prevention during medical examination. Expert Syst. Appl. 225 (2023)
Patrizia Ribino, Antonio Coronato, Massimo Esposito, Muddasar Naeem
Preface to the Proceedings of the 3rd International Workshop on Self-Learning in Intelligent Environments (SeLIE'23). Intelligent Environments (Workshops) (2023)
Muddasar Naeem, Antonio Coronato, Zaib Ullah, Sajid Bashir, Giovanni Paragliola
Optimal User Scheduling in Multi Antenna System Using Multi Agent Reinforcement Learning. Sensors 22 (21) (2022)
Muddasar Naeem, Giuseppe De Pietro, Antonio Coronato
Application of Reinforcement Learning and Deep Learning in Multiple-Input and Multiple-Output (MIMO) Systems. Sensors 22 (1) (2022)
Muddasar Naeem, Antonio Coronato
An AI-Empowered Home-Infrastructure to Minimize Medication Errors. J. Sens. Actuator Networks 11 (1) (2022)
Syed Ihtesham Hussain Shah, Antonio Coronato, Muddasar Naeem, Giuseppe De Pietro
Learning and Assessing Optimal Dynamic Treatment Regimes Through Cooperative Imitation Learning. IEEE Access 10 (2022)
Syed Ihtesham Hussain Shah, Antonio Coronato, Muddasar Naeem
Inverse Reinforcement Learning Based Approach for Investigating Optimal Dynamic Treatment Regime. Intelligent Environments (Workshops) (2022)
Mario Ciampi, Antonio Coronato, Muddasar Naeem, Stefano Silvestri
An intelligent environment for preventing medication errors in home treatment. Expert Syst. Appl. 193 (2022)
Muddasar Naeem, Valeriano Fabris, Antonio Coronato
A RL Based Model for Improving Human Task Management Performance. Intelligent Environments (Workshops) (2022)
Rosamaria Donnici, Antonio Coronato, Muddasar Naeem
A Self-Learning Autonomous and Intelligent System for the Reduction of Medication Errors in Home Treatments. Intelligent Environments (Workshops) (2021)
Antonio Coronato, Muddasar Naeem
Ambient Intelligence for Home Medical Treatment Error Prevention. Intelligent Environments (2021)
Zara Hayat, Aqsa Rahim, Sajid Bashir, Muddasar Naeem
Self Learning of News Category Using AI Techniques. Intelligent Environments (Workshops) (2021)
Muddasar Naeem, Giovanni Paragliola, Antonio Coronato
A reinforcement learning and deep learning based intelligent system for the support of impaired patients in home treatment. Expert Syst. Appl. 168 (2021)
Sanam Aamir, Aqsa Rahim, Sajid Bashir, Muddasar Naeem
Prediction of Breast Cancer Using AI-Based Methods. Intelligent Environments (Workshops) (2021)
Muddasar Naeem, Antonio Coronato, Giovanni Paragliola, Giuseppe De Pietro
A Reinforcement Learning and IoT based System to Assist Patients with Disabilities. IoTBDS (2020)
Muddasar Naeem, Giovanni Paragliola, Antonio Coronato, Giuseppe De Pietro
A CNN based monitoring system to minimize medication errors during treatment process at home. APPIS (2020)
Muddasar Naeem, Syed Tahir Hussain Rizvi, Antonio Coronato
A Gentle Introduction to Reinforcement Learning and its Application in Different Fields. IEEE Access 8 (2020)
Antonio Coronato, Muddasar Naeem, Giuseppe De Pietro, Giovanni Paragliola
Reinforcement learning for intelligent healthcare applications: A survey. Artif. Intell. Medicine 109 (2020)
Antonio Coronato, Muddasar Naeem
A Reinforcement Learning Based Intelligent System for the Healthcare Treatment Assistance of Patients with Disabilities. I-SPAN (2019)
Muddasar Naeem, Sajid Bashir, Zaib Ullah, Aqeel A. Syed
A Near Optimal Scheduling Algorithm for Efficient Radio Resource Management in Multi-user MIMO Systems. Wirel. Pers. Commun. 106 (3) (2019)
Muddasar Naeem, Antonio Coronato, Giovanni Paragliola
Adaptive Treatment Assisting System for Patients Using Machine Learning. SNAMS (2019)
Giovanni Paragliola, Muddasar Naeem
Risk management for nuclear medical department using reinforcement learning algorithms. J. Reliab. Intell. Environ. 5 (2) (2019)
Giovanni Paragliola, Antonio Coronato, Muddasar Naeem, Giuseppe De Pietro
A Reinforcement Learning-Based Approach for the Risk Management of e-Health Environments: A Case Study. SITIS (2018)
Muddasar Naeem, Muhammad Usman Khan, Sajid Bashir, Aqeel A. Syed
Modified Leakage Based User Selection for MU-MIMO Systems. FIT (2015)