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Giovanni Paragliola

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Muddasar Naeem

> Home > Persons > Giovanni Paragliola

Publications

2023
[j15]
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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: 120048 (2023)
2022
[j9]
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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): 8278 (2022)
2021
[j8]
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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: 114285 (2021)
2020
[j6]
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Antonio Coronato, Muddasar Naeem, Giuseppe De Pietro, Giovanni Paragliola:
Reinforcement learning for intelligent healthcare applications: A survey. Artif. Intell. Medicine 109: 101964 (2020)
[c19]
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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: 27:1-27:5
[c17]
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Muddasar Naeem, Antonio Coronato, Giovanni Paragliola, Giuseppe De Pietro:
A Reinforcement Learning and IoT based System to Assist Patients with Disabilities. IoTBDS 2020: 491-498
2019
[j5]
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Giovanni Paragliola, Muddasar Naeem:
Risk management for nuclear medical department using reinforcement learning algorithms. J. Reliab. Intell. Environ. 5(2): 105-113 (2019)
[c16]
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Muddasar Naeem, Antonio Coronato, Giovanni Paragliola:
Adaptive Treatment Assisting System for Patients Using Machine Learning. SNAMS 2019: 460-465
2018
[c14]
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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: 711-716

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