Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Mohammed Nasser Al‐Mhiqani"'
Autor:
Taher Al-Shehari, Mohammed Kadrie, Mohammed Nasser Al-Mhiqani, Taha Alfakih, Hussain Alsalman, Mueen Uddin, Syed Sajid Ullah, Abdulhalim Dandoush
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Insider threats pose a significant challenge in cybersecurity, demanding advanced detection methods for effective risk mitigation. This paper presents a comparative evaluation of data imbalance addressing techniques for CNN-based insider thr
Externí odkaz:
https://doaj.org/article/6ea7f95ec06d49058d21f39c911f60a7
Autor:
Zainab Hussein Arif, Moamin Mahmoud, Karrar Hameed Abdulkareem, Seifedine Kadry, Mazin Abed Mohammed, Mohammed Nasser Al-Mhiqani, Alaa S. Al-Waisy, Jan Nedoma
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 7, Iss 7, Pp 26-37 (2023)
The fog has different features and effects within every single environment. Detection whether there is fog in the image is considered a challenge and giving the type of fog has a substantial enlightening effect on image defogging. Foggy scenes have d
Externí odkaz:
https://doaj.org/article/624190e2d59940f28a7f218445b8ca8c
Autor:
Zainab Hussein Arif, Moamin A. Mahmoud, Karrar Hameed Abdulkareem, Mazin Abed Mohammed, Mohammed Nasser Al‐Mhiqani, Ammar Awad Mutlag, Robertas Damaševičius
Publikováno v:
IET Image Processing, Vol 16, Iss 2, Pp 289-310 (2022)
Abstract Images captured through a visual sensory system are degraded in a foggy scene, which negatively influences recognition, tracking, and detection of targets. Efficient tools are needed to detect, pre‐process, and enhance foggy scenes. Machin
Externí odkaz:
https://doaj.org/article/856c6a51157d461bb7505c2a6e892368
Autor:
Karrar Hameed Abdulkareem, Nureize Arbaiy, Zainab Hussein Arif, Mohammed Nasser Al-Mhiqani, Mazin Abed Mohammed, Seifedine Kadry, Zaid Abdi Alkareem Alyasseri
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 7, Iss 2, Pp 172-198 (2021)
Our study aims to review and analyze the most relevant studies in the image dehazing field. Many aspects have been deemed necessary to provide a broad understanding of various studies that have been examined through surveying the existing literature.
Externí odkaz:
https://doaj.org/article/18c61ede3a9c4cd2be6b63c959766d35
Autor:
Mazin Abed Mohammed, Karrar Hameed Abdulkareem, Alaa S. Al-Waisy, Salama A. Mostafa, Shumoos Al-Fahdawi, Ahmed Musa Dinar, Wajdi Alhakami, Abdullah Baz, Mohammed Nasser Al-Mhiqani, Hosam Alhakami, Nureize Arbaiy, Mashael S. Maashi, Ammar Awad Mutlag, Begona Garcia-Zapirain, Isabel De La Torre Diez
Publikováno v:
IEEE Access, Vol 8, Pp 99115-99131 (2020)
Nowadays, coronavirus (COVID-19) is getting international attention due it considered as a life-threatened epidemic disease that hard to control the spread of infection around the world. Machine learning (ML) is one of intelligent technique that able
Externí odkaz:
https://doaj.org/article/0daba794ef6e49239de471e345b524df
Autor:
Ali Abdul-Hussian Hassan, Wahidah Md Shah, Abdul-Hussien Hassan Habeb, Mohd Fairuz Iskandar Othman, Mohammed Nasser Al-Mhiqani
Publikováno v:
IEEE Access, Vol 8, Pp 200500-200517 (2020)
A wireless sensor network (WSN) is an important part of the Internet of Things (IoT). However, sensor nodes of a WSN-based IoT network are constraining with the energy resources. A clustering protocol provides an efficient solution to ensure energy s
Externí odkaz:
https://doaj.org/article/62a6e9e14cd946d1bca4730c03921d54
Autor:
Marwan Qaid Mohammed, Lee Chung Kwek, Shing Chyi Chua, Arafat Al-Dhaqm, Saeid Nahavandi, Taiseer Abdalla Elfadil Eisa, Muhammad Fahmi Miskon, Mohammed Nasser Al-Mhiqani, Abdulalem Ali, Mohammed Abaker, Esmail Ali Alandoli
Publikováno v:
Sensors, Vol 22, Iss 20, p 7938 (2022)
Robotic manipulation refers to how robots intelligently interact with the objects in their surroundings, such as grasping and carrying an object from one place to another. Dexterous manipulating skills enable robots to assist humans in accomplishing
Externí odkaz:
https://doaj.org/article/221f6aabea944c398ef807740e350a68
Autor:
Karrar Hameed Abdulkareem, Mazin Abed Mohammed, Saraswathy Shamini Gunasekaran, Mohammed Nasser Al-Mhiqani, Ammar Awad Mutlag, Salama A. Mostafa, Nabeel Salih Ali, Dheyaa Ahmed Ibrahim
Publikováno v:
IEEE Access, Vol 7, Pp 153123-153140 (2019)
Systems based on fog computing produce massive amounts of data; accordingly, an increasing number of fog computing apps and services are emerging. In addition, machine learning (ML), which is an essential area, has gained considerable progress in var
Externí odkaz:
https://doaj.org/article/7b836109b24e46bbb0db24ed473dfeda
Autor:
Karrar Hameed Abdulkareem, Mohammed Nasser Al-Mhiqani, Ahmed M. Dinar, Mazin Abed Mohammed, Mustafa Jawad Al-Imari, Alaa S. Al-Waisy, Abed Saif Alghawli, Mohammed A. A. Al-Qaness
Publikováno v:
Bioengineering, Vol 9, Iss 9, p 457 (2022)
Effective prioritization plays critical roles in precision medicine. Healthcare decisions are complex, involving trade-offs among numerous frequently contradictory priorities. Considering the numerous difficulties associated with COVID-19, approaches
Externí odkaz:
https://doaj.org/article/fc321e7f47b749329b974a28d1856391
Autor:
Mohammed Nasser Al-Mhiqani, Rabiah Ahmad, Z. Zainal Abidin, Warusia Yassin, Aslinda Hassan, Karrar Hameed Abdulkareem, Nabeel Salih Ali, Zahri Yunos
Publikováno v:
Applied Sciences, Vol 10, Iss 15, p 5208 (2020)
Insider threat has become a widely accepted issue and one of the major challenges in cybersecurity. This phenomenon indicates that threats require special detection systems, methods, and tools, which entail the ability to facilitate accurate and fast
Externí odkaz:
https://doaj.org/article/4f9d4ed238404f9789242c7b402c9d8c