Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Haneen Algethami"'
Autor:
Adeeb Salh, Lukman Audah, Mohammed A. Alhartomi, Kwang Soon Kim, Saeed Hamood Alsamhi, Faris A. Almalki, Qazwan Abdullah, Abdu Saif, Haneen Algethami
Publikováno v:
IEEE Access, Vol 10, Pp 50023-50036 (2022)
The convergence of Artificial Intelligence (AI) can overcome the complexity of network defects and support a sustainable and green system. AI has been used in the Cognitive Internet of Things (CIoT), improving a large volume of data, minimizing energ
Externí odkaz:
https://doaj.org/article/4488f87fa98b4513b62e2f14687d793f
Autor:
Adeeb Salh, Lukman Audah, Kwang Soon Kim, Saeed Hamood Alsamhi, Mohammed A. Alhartomi, Qazwan Abdullah, Faris A. Almalki, Haneen Algethami
Publikováno v:
IEEE Access, Vol 10, Pp 50662-50676 (2022)
Ultra-reliable and Low-latency Communications (URLLC) is expected to be one of the most critical characteristics Beyond fifth-Generation (B5G) cellular networks with stringent low latency and high-reliability requirements. The Deep Reinforcement Lear
Externí odkaz:
https://doaj.org/article/765453b85abe40a2b2b755baffb63e1e
Autor:
Haneen Algethami
Publikováno v:
Applied Computational Intelligence and Soft Computing, Vol 2023 (2023)
The solid waste collection problem refers to truck route optimisation to collect waste from containers across various locations. Recent concerns exist over the impact of solid waste management on the environment. Hence, it is necessary to find feasib
Externí odkaz:
https://doaj.org/article/0cb4b3fd27f2436bb103cbe7d80a2674
Publikováno v:
Logistics, Vol 7, Iss 3, p 54 (2023)
Background: Saudi Arabia is a leading country endorsing a sustainable future, from policymaking and investment to infrastructure development. One of the rising concerns in Saudi Arabia's Vision 2030 is solid waste management, especially in Makkah. Th
Externí odkaz:
https://doaj.org/article/f0e11e0014c24e7ab977c16133db4c1e
Autor:
Wasakorn Laesanklang, Haneen Algethami
Publikováno v:
IEEE Access, Vol 9, Pp 111666-111682 (2021)
University course timetabling problem (UCTP) includes the challenging task of generating an automated timetable for courses under resource limitations. Manual generated timetables might hold some errors and consume a long time to create feasible solu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb8a11e88182ebdf3cc04546f4e8577a
https://ieeexplore.ieee.org/document/9509393/
https://ieeexplore.ieee.org/document/9509393/
Autor:
Mohammad Nazmul Haque, Tahia Tazin, Mohammad Monirujjaman Khan, Shahla Faisal, Sobhee Md. Ibraheem, Haneen Algethami, Faris A. Almalki
Publikováno v:
Computational and mathematical methods in medicine. 2022
Breast cancer is one of the most commonly diagnosed female disorders globally. Numerous studies have been conducted to predict survival markers, although the majority of these analyses were conducted using simple statistical techniques. In lieu of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5099ba74cf3f55c8decff7c12d2e8ad
https://pubmed.ncbi.nlm.nih.gov/35509861
https://pubmed.ncbi.nlm.nih.gov/35509861
Autor:
Mohammad Monirujjaman Khan, Atiyea Sharmeen Omee, Tahia Tazin, Faris A. Almalki, Maha Aljohani, Haneen Algethami
Publikováno v:
Computational and Mathematical Methods in Medicine.
As the most prevalent and deadly malignancy, brain tumors have a dismal survival rate when they are at their most hazardous. Using mostly traditional medical image processing methods, segmenting and classifying brain malignant tumors is a challenging
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b42347f06bf81bf0faacb2e67756e6d
Publikováno v:
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience, Vol 2021 (2021)
Computational Intelligence and Neuroscience, Vol 2021 (2021)
The rapid emergence of the novel SARS-CoV-2 poses a challenge and has attracted worldwide attention. Artificial intelligence (AI) can be used to combat this pandemic and control the spread of the virus. In particular, deep learning-based time-series
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6acd9b21248ff1594a41ecd158f53cb5
http://europepmc.org/articles/PMC8684576
http://europepmc.org/articles/PMC8684576
Publikováno v:
2021 International Conference of Women in Data Science at Taif University (WiDSTaif ).
COVID-19 is a novel virus which is originated from Wuhan, a city in China. By March 2021, World Health Organization has confirmed the virus has increased in the number of infections to over 117 million cases globally. In this scenario of increasing C
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25092c3d7e033f813ea41a8f581d92f5
https://doi.org/10.1109/widstaif52235.2021.9430219
https://doi.org/10.1109/widstaif52235.2021.9430219
Publikováno v:
Journal of Heuristics. 25:753-792
The Workforce Scheduling and Routing Problem refers to the assignment of personnel to visits, across various geographical locations. Solving this problem demands tackling numerous scheduling and routing constraints while aiming to minimise the operat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b273544949c20a526861627c68186002
https://doi.org/10.1007/s10732-018-9385-x
https://doi.org/10.1007/s10732-018-9385-x