Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Muddasar Naeem"'
Publikováno v:
Technologies, Vol 12, Iss 7, p 103 (2024)
Artificial intelligence has brought many innovations to our lives. At the same time, it is worth designing robust safety machine learning (ML) algorithms to obtain more benefits from technology. Reinforcement learning (RL) being an important ML metho
Externí odkaz:
https://doaj.org/article/c7156fcdd1dc419ab1d2e96c554864a4
Publikováno v:
Future Internet, Vol 16, Iss 5, p 152 (2024)
Efficient spectrum sharing is essential for maximizing data communication performance in Vehicular Networks (VNs). In this article, we propose a novel hybrid framework that leverages Multi-Agent Reinforcement Learning (MARL), thereby combining both c
Externí odkaz:
https://doaj.org/article/c5392e05a0fc4b548e427af076c05bf1
Publikováno v:
IEEE Access, Vol 10, Pp 78148-78158 (2022)
Dynamic Treatment Regimes (DTRs) are sets of sequential decision rules that can be adapted over time to treat patients with a specific pathology. DTR consists of alternative treatment paths and any of these treatments can be adapted depending on the
Externí odkaz:
https://doaj.org/article/2f40d1c4726f4744888b35b48f68d6ad
Publikováno v:
IEEE Access, Vol 8, Pp 209320-209344 (2020)
Due to the recent progress in Deep Neural Networks, Reinforcement Learning (RL) has become one of the most important and useful technology. It is a learning method where a software agent interacts with an unknown environment, selects actions, and pro
Externí odkaz:
https://doaj.org/article/890f59e1fe6c4110a0ddef0884e555ad
Publikováno v:
Sensors, Vol 22, Iss 21, p 8278 (2022)
Multiple Input Multiple Output (MIMO) systems have been gaining significant attention from the research community due to their potential to improve data rates. However, a suitable scheduling mechanism is required to efficiently distribute available s
Externí odkaz:
https://doaj.org/article/2f7036812cbf4b038f11c029d0579290
Autor:
Muddasar Naeem, Antonio Coronato
Publikováno v:
Journal of Sensor and Actuator Networks, Vol 11, Iss 1, p 13 (2022)
This article presents an Artificial Intelligence (AI)-based infrastructure to reduce medication errors while following a treatment plan at home. The system, in particular, assists patients who have some cognitive disability. The AI-based system first
Externí odkaz:
https://doaj.org/article/51eb23370871454c9a3682b0609cceb1
Publikováno v:
Sensors, Vol 22, Iss 1, p 309 (2021)
The current wireless communication infrastructure has to face exponential development in mobile traffic size, which demands high data rate, reliability, and low latency. MIMO systems and their variants (i.e., Multi-User MIMO and Massive MIMO) are the
Externí odkaz:
https://doaj.org/article/bb69cd46d1a24202b28df5c28a5caf69
Autor:
Syed Ihtesham Hussain Shah, Muddasar Naeem, Giovanni Paragliola, Antonio Coronato, Mykola Pechenizkiy
Publikováno v:
Expert Systems with Applications, 225:120048. Elsevier
A medical examination at Nuclear Medicine Department (NMD) carries out at multiple stages. Patients are accompanied and guided by nurses during their movements within the NMD to avoid them entering into any hazardous situation. However, even accompan
This paper discusses an Reinforcement Learning (RL) based system to improve human performance in task selection and management by incorporating various factors. A simulated task management environment of a coaching center is considered. Different fac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32dd1e4bb0e9033018f4ab720635ec37
https://doi.org/10.3233/aise220051
https://doi.org/10.3233/aise220051
In recent years, the importance of artificial intelligence (AI) and reinforcement learning (RL) has exponentially increased in healthcare and learning Dynamic Treatment Regimes (DTR). These techniques are used to learn and recover the best of the doc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a660d5bc9a52dac9acd7a64233b0331f
https://doi.org/10.3233/aise220052
https://doi.org/10.3233/aise220052