Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Hitham Alhussian"'
Autor:
Shamsuddeen Adamu, Hitham Alhussian, Norshakirah Aziz, Said Jadid Abdulkadir, Ayed Alwadin, Abdullahi Abubakar Imam, Mujaheed Abdullahi, Aliyu Garba, Yahaya Saidu
Publikováno v:
Cogent Engineering, Vol 11, Iss 1 (2024)
Skin cancer, a life-threatening disease, necessitates early detection and accurate classification for successful treatment. Misdiagnoses can lead to significant consequences for patients, highlighting the critical need for improved accuracy. Despite
Externí odkaz:
https://doaj.org/article/5f28a27b897c4ff284febb1588c23a92
Autor:
Alawi Alqushaibi, Mohd Hilmi Hasan, Said Jadid Abdulkadir, Kamaluddeen Usman Danyaro, Mohammed Gamal Ragab, Safwan Mahmood Al-Selwi, Ebrahim Hamid Sumiea, Hitham Alhussian
Publikováno v:
IEEE Access, Vol 12, Pp 105354-105369 (2024)
Colorectal cancer (CRC) is a prevalent and life-threatening malignancy, demanding early diagnosis and effective treatment for improved patient outcomes. Accurate segmentation of colon cancer in medical images is a challenging task due to the complexi
Externí odkaz:
https://doaj.org/article/b6396590d6a24976bb1b17220fec4fa1
Autor:
Mohammed Gamal Ragab, Said Jadid Abdulkadir, Amgad Muneer, Alawi Alqushaibi, Ebrahim Hamid Sumiea, Rizwan Qureshi, Safwan Mahmood Al-Selwi, Hitham Alhussian
Publikováno v:
IEEE Access, Vol 12, Pp 57815-57836 (2024)
YOLO (You Only Look Once) is an extensively utilized object detection algorithm that has found applications in various medical object detection tasks. This has been accompanied by the emergence of numerous novel variants in recent years, such as YOLO
Externí odkaz:
https://doaj.org/article/12438ef930484aa8be0bd5590d226cbb
Autor:
Mujaheed Abdullahi, Hitham Alhussian, Norshakirah Aziz, Said Jadid Abdulkadir, Ayed Alwadain, Aminu Aminu Muazu, Abubakar Bala
Publikováno v:
IEEE Access, Vol 12, Pp 31988-32004 (2024)
The demand for cyber-physical systems (CPSs) has recently increased in various domains, such as smart grids, intelligent transportation, and critical infrastructure. The massive data networks and communication layers generated make CPSs vulnerable to
Externí odkaz:
https://doaj.org/article/7222ebed701749e3807088038600f121
Prediction of oil and gas pipeline failures through machine learning approaches: A systematic review
Publikováno v:
Energy Reports, Vol 10, Iss , Pp 1313-1338 (2023)
Pipelines are vital for transporting oil and gas, but leaks can have serious consequences such as fires, injuries, pollution, and property damage. Therefore, preserving pipeline integrity is crucial for a safe and sustainable energy supply. The rapid
Externí odkaz:
https://doaj.org/article/b015f39c546149ff8fbaa32c443ed8d9
Autor:
Abdulnaser M. Al-Sabaeei, Hitham Alhussian, Said Jadid Abdulkadir, Muslich Sutanto, Esra’a Alrashydah, Gamal Mabrouk, Munder Bilema, Abdalrhman Milad, Hamdi Abdulrahman
Publikováno v:
Case Studies in Construction Materials, Vol 19, Iss , Pp e02651- (2023)
The complicated viscoelastic characteristics of asphalt binders make it a challenging task to precisely predict their rheological behavior. This study aims to investigate and compare the suitability of response surface methodology (RSM) and machine l
Externí odkaz:
https://doaj.org/article/09d68a05f26940e98baf9a02924cf57c
Autor:
Noureen Talpur, Said Jadid Abdulkadir, Emelia Akashah Patah Akhir, Mohd Hilmi Hasan, Hitham Alhussian, Mohd Hafizul Afifi Abdullah
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 2, Pp 821-842 (2023)
The novel Deep Neuro-Fuzzy System (DNFS) has attracted significant attention from researchers due to the model's adaptability and rule-based structure. The model has been successfully implemented in various real-world applications. However, despite i
Externí odkaz:
https://doaj.org/article/1e48ecb880d942e7aefc0903cddde861
Autor:
Ebrahim Hamid Hasan Sumiea, Said Jadid Abdulkadir, Mohammed Gamal Ragab, Safwan Mahmood Al-Selwi, Suliamn Mohamed Fati, Alawi AlQushaibi, Hitham Alhussian
Publikováno v:
IEEE Access, Vol 11, Pp 139771-139784 (2023)
Deep Reinforcement Learning (DRL) allows agents to make decisions in a specific environment based on a reward function, without prior knowledge. Adapting hyperparameters significantly impacts the learning process and time. Precise estimation of hyper
Externí odkaz:
https://doaj.org/article/0543e6a07ae14ef896ab725f6215ecc7
Autor:
Yahia Baashar, Yaman Hamed, Gamal Alkawsi, Luiz Fernando Capretz, Hitham Alhussian, Ayed Alwadain, Redhwan Al-amri
Publikováno v:
Alexandria Engineering Journal, Vol 61, Iss 12, Pp 9867-9878 (2022)
Institutions of higher learning are currently facing the challenging task of attracting new students who can effectively meet their diverse academic demands. With these demands come the need for those institutions to develop strategies that can enhan
Externí odkaz:
https://doaj.org/article/71e7ab7bf1d44e7789f08ee92c88664f
Autor:
Abdulnaser M. Al-Sabaeei, Hitham Alhussian, Said Jadid Abdulkadir, Filippo Giustozzi, Madzlan Napiah, Ajayshankar Jagadeesh, Muslich Sutanto, Abdul Muhaimin Memon
Publikováno v:
Case Studies in Construction Materials, Vol 18, Iss , Pp e02073- (2023)
The optimization of energy consumption during asphalt mixture production and compaction is a challenge in producing durable, sustainable, and environmentally friendly asphalt products. This study investigated the effects of crude palm oil (CPO) and/o
Externí odkaz:
https://doaj.org/article/c12742b6ba8646c2a4bb123047d00dd3