Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Muhammed Bashir Mu'Azu"'
Publikováno v:
IEEE Access, Vol 10, Pp 109366-109384 (2022)
The internet-of-Vehicle (IoV) can facilitate seamless connectivity between connected vehicles (CV), autonomous vehicles (AV), and other IoV entities. Intrusion Detection Systems (IDSs) for IoV networks can rely on machine learning (ML) to protect the
Externí odkaz:
https://doaj.org/article/47cfce5210b64bfb927271a550caf38e
Publikováno v:
Journal of Information and Telecommunication, Vol 5, Iss 2, Pp 179-196 (2021)
The manual tuning of controller parameters, for example, tuning proportional integral derivative (PID) gains often relies on tedious human engineering. To curb the aforementioned problem, we propose an artificial intelligence-based deep reinforcement
Externí odkaz:
https://doaj.org/article/ac8123c01ad04da09b452c91d8230a7b
Autor:
Habeeb Bello-Salau, Adeiza James Onumanyi, Adnan M. Abu-Mahfouz, Achonu O. Adejo, Muhammed Bashir Mu'Azu
Publikováno v:
IEEE Access, Vol 8, Pp 145469-145488 (2020)
Recently, the Internet of Things (IoT) is widely considered in vehicular ad-hoc networks (VANETs) for use in intelligent transportation systems. In particular, the pervasive deployment of different sensors in modern vehicles has unlocked interesting
Externí odkaz:
https://doaj.org/article/278ea1d661d846b296ed14d766d45dc7
Publikováno v:
Journal of Information and Telecommunication, Vol 5, Iss 2, Pp 179-196 (2021)
The manual tuning of controller parameters, for example, tuning proportional integral derivative (PID) gains often relies on tedious human engineering. To curb the aforementioned problem, we propose an artificial intelligence-based deep reinforcement
Autor:
Adnan M. Abu-Mahfouz, A. J. Onumanyi, Habeeb Bello-Salau, Muhammed Bashir Mu’azu, Achonu Adejo
Publikováno v:
IEEE Access, Vol 8, Pp 145469-145488 (2020)
Recently, the Internet of Things (IoT) is widely considered in vehicular ad-hoc networks (VANETs) for use in intelligent transportation systems. In particular, the pervasive deployment of different sensors in modern vehicles has unlocked interesting
Publikováno v:
2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE).
This research presents the path tracking control of a four-wheel Unmanned Ground Vehicles (UGV) using an optimized Fractional Order Proportional Integral Derivative (FOPID) controller. The kinematic model of the UGV is modelled and simulated using Si
Publikováno v:
Kinetik, Vol 4, Iss 3, Pp 259-268 (2019)
Denial of service attack and its variants are the largest ravaging network problems. They are used to cause damage to network by disrupting its services in order to harm a business or organization. Flash event is a network phenomenon that causes surg
Autor:
I J Umoh, Muhammed Bashir Mu’azu, A. T. Salawudeen, D E Ikpe, Francis Franklin Marshall, B.O. Sadiq
Publikováno v:
Kinetik, Vol 4, Iss 1, Pp 45-54 (2018)
BASE-Bielefeld Academic Search Engine
BASE-Bielefeld Academic Search Engine
In WSNs, the sensor nodes are at risk of failure and malicious attacks (selective forwarding). This may have a profound negative effect when you consider real-time WSNs, making them challenging to deploy. When there is a delay in tasks allocation exe
Autor:
Muhammed Bashir Mu’azu, Christopher Bahago Martins, Ime Umoh Jarlath, Emmanuel Adedokun Adewale
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030691424
ICTA
ICTA
The development of a spoof detection framework in a ZigBee network using forge-resistant network characteristics is presented. ZigBee has become ubiquitous in application areas such as Wireless Sensor Networks (WSNs), Home Area Networks (HANs), Smart
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13f5720b4805a4500ddf251efd3f1e0c
https://doi.org/10.1007/978-3-030-69143-1_26
https://doi.org/10.1007/978-3-030-69143-1_26
Publikováno v:
Hybrid Intelligent Systems ISBN: 9783030730499
HIS
HIS
In this paper, the performance of the recently developed Pastoralist Optimization Algorithm (POA) on classical uncapacitated Facility Location problem (UFLP) was investigated. POA is a culture-inspired metaheuristic motivated by the herding schemes o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d94f2a86e0e120f79ddcfaa68af9f726
https://doi.org/10.1007/978-3-030-73050-5_72
https://doi.org/10.1007/978-3-030-73050-5_72