Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Mohammed Mynuddin"'
Autor:
Mohammed Mynuddin, Sultan Uddin Khan, Reza Ahmari, Luis Landivar, Mahmoud Nabil Mahmoud, Abdollah Homaifar
Publikováno v:
IEEE Access, Vol 12, Pp 89887-89907 (2024)
As unmanned aerial vehicles (UAVs) become increasingly integrated across various domains, both military and civilian, safeguarding the security of their navigation systems becomes paramount. In the contemporary age, the prominence of cybersecurity fo
Externí odkaz:
https://doaj.org/article/99429e9c783a4888b9ea4b702febea03
Autor:
Mohammed Mynuddin, Weinan Gao
Publikováno v:
IET Intelligent Transport Systems, Vol 14, Iss 5, Pp 270-277 (2020)
This study proposes a novel distributed predictive cruise control (PCC) algorithm based on reinforcement learning. The algorithm aims at reducing idle time and maintaining an adjustable speed depending on the traffic signals. The effectiveness of the
Externí odkaz:
https://doaj.org/article/085bcfb92dd34f72a347c330ec629df6
Autor:
Diponkor Bala, Mohammad Alamgir Hossain, Mohammad Anwarul Islam, Mohammed Mynuddin, Md. Shamim Hossain, Md. Ibrahim Abdullah
Publikováno v:
2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI).
Autor:
Diponkor Bala, Mohammad Anwarul Islam, Mohammad Alamgir Hossain, Mohammed Mynuddin, Md. Shamim Hossain, Md. Ibrahim Abdullah
Publikováno v:
2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI).
Autor:
Diponkor Bala, Mohammad Anwarul Islam, Mohammad Iqbal Hossain, Mohammed Mynuddin, Mohammad Alamgir Hossain, Md. Shamim Hossain
Publikováno v:
2022 International Conference on Engineering and Emerging Technologies (ICEET).
Autor:
Diponkor Bala, Mohammed Mynuddin, Mohammad Iqbal Hossain, Mohammad Anwarul Islam, Mohammad Alamgir Hossain, Md. Ibrahim Abdullah
Publikováno v:
2022 International Conference on Engineering and Emerging Technologies (ICEET).
Autor:
Weinan Gao, Mohammed Mynuddin
Publikováno v:
IET Intelligent Transport Systems. 14:270-277
This study proposes a novel distributed predictive cruise control (PCC) algorithm based on reinforcement learning. The algorithm aims at reducing idle time and maintaining an adjustable speed depending on the traffic signals. The effectiveness of the
Publikováno v:
IEEE transactions on neural networks and learning systems. 33(10)
In this article, a data-driven distributed control method is proposed to solve the cooperative optimal output regulation problem of leader-follower multiagent systems. Different from traditional studies on cooperative output regulation, a distributed
Publikováno v:
ACC
In this paper, we propose a reinforcement learning (RL) approach to the coordinated control of multi-agent systems with a special emphasis on intelligent transportation systems. As a result, for a network of autonomous vehicles, a novel distributed p
Autor:
Md. Shamim Hossain, Md. Ibrahim Abdullah, Tania Khadem, Mohammed Mynuddin, Mohammad Alamgir Hossain
Publikováno v:
International Journal of Information Technology and Computer Science. 5:71-77