Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Khaled H. Almotairi"'
Autor:
Ahmad MohdAziz Hussein, Abdulrauf Garba Sharifai, Osama Moh’d Alia, Laith Abualigah, Khaled H. Almotairi, Sohaib K. M. Abujayyab, Amir H. Gandomi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract The most widely used method for detecting Coronavirus Disease 2019 (COVID-19) is real-time polymerase chain reaction. However, this method has several drawbacks, including high cost, lengthy turnaround time for results, and the potential for
Externí odkaz:
https://doaj.org/article/068c03685b7a4ce1a5fe51573545b63c
Autor:
Khaled H. Almotairi
Publikováno v:
Heliyon, Vol 9, Iss 9, Pp e20055- (2023)
This study considers the case of unreliable equipment subjected to random failures that induce high maintenance and environmental costs. We consider situations where the equipment is located in remote areas, which are difficult to access, and situati
Externí odkaz:
https://doaj.org/article/6044bc71dc0e491a95bd74e2eac613b1
Autor:
Khaled H. Almotairi
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 8, Pp 5261-5272 (2022)
Lane detection on roads is essential for autonomous vehicles. Most previous studies detected the area of the road and all possible lanes built on it, whereas only the specific lane that the car is currently traveling on should be detected. In additio
Externí odkaz:
https://doaj.org/article/a3b8c45d2f3b4c5bb59c04d9c01f7d8a
Autor:
Khaled H. Almotairi, Ahmad MohdAziz Hussein, Laith Abualigah, Sohaib K. M. Abujayyab, Emad Hamdi Mahmoud, Bassam Omar Ghanem, Amir H. Gandomi
Publikováno v:
Big Data and Cognitive Computing, Vol 7, Iss 1, p 11 (2023)
Integrating machine learning technologies into artificial intelligence (AI) is at the forefront of the scientific and technological tools employed to combat the COVID-19 pandemic. This study assesses different uses and deployments of modern technolog
Externí odkaz:
https://doaj.org/article/6535364e14304359b5230939a154b444
Autor:
Tingyao Wu, Di Wu, Heming Jia, Nuohan Zhang, Khaled H. Almotairi, Qingxin Liu, Laith Abualigah
Publikováno v:
Applied Sciences, Vol 12, Iss 19, p 10144 (2022)
The Gorilla Troops Optimizer (GTO) is a novel Metaheuristic Algorithm that was proposed in 2021. Its design was inspired by the lifestyle characteristics of gorillas, including migration to a known position, migration to an undiscovered position, mov
Externí odkaz:
https://doaj.org/article/f9c40196b8e243758bf68dbfbbfee6a0
Publikováno v:
Journal of ICT Research and Applications, Vol 14, Iss 3 (2021)
Spectral utilization is a major challenge in wireless ad hoc networks due in part to using limited network resources. For ad hoc networks, the bandwidth is shared among stations that can transmit data at any point in time. It is important to maximize
Externí odkaz:
https://doaj.org/article/93d767b1e3d24fa7bb6203c7cf6bd194
Publikováno v:
Symmetry, Vol 14, Iss 5, p 1021 (2022)
As data volumes have increased and difficulty in tackling vast and complicated problems has emerged, the need for innovative and intelligent solutions to handle these difficulties has become essential. Data clustering is a data mining approach that c
Externí odkaz:
https://doaj.org/article/ba27d8ad87c744a29719cbce4e3dc811
Autor:
Khaled H. Almotairi, Laith Abualigah
Publikováno v:
Symmetry, Vol 14, Iss 3, p 458 (2022)
Data clustering is a complex data mining problem that clusters a massive amount of data objects into a predefined number of clusters; in other words, it finds symmetric and asymmetric objects. Various optimization methods have been used to solve diff
Externí odkaz:
https://doaj.org/article/2886e2c05efc47219e1cff4bce224b29
Autor:
Laith Abualigah, Raed Abu Zitar, Khaled H. Almotairi, Ahmad MohdAziz Hussein, Mohamed Abd Elaziz, Mohammad Reza Nikoo, Amir H. Gandomi
Publikováno v:
Energies, Vol 15, Iss 2, p 578 (2022)
Nowadays, learning-based modeling methods are utilized to build a precise forecast model for renewable power sources. Computational Intelligence (CI) techniques have been recognized as effective methods in generating and optimizing renewable tools. T
Externí odkaz:
https://doaj.org/article/1d5c9d25a3c74751b98919b7941d131f
Autor:
Sohaib K. M. Abujayyab, Khaled H. Almotairi, Mohammed Alswaitti, Salem S. Abu Amr, Abbas F. M. Alkarkhi, Enes Taşoğlu, Ahmad MohdAziz Hussein
Publikováno v:
Land, Vol 10, Iss 12, p 1301 (2021)
The current work aims to examine the effect of meteorological parameters as well as the temporal variation on the Burdur Lake surface water body areas in Turkey. The data for the surface area of Burdur Lake was collected over 34 years between 1984 an
Externí odkaz:
https://doaj.org/article/979e8832005447238cf8d3e81af500f7