Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Khalid Alissa"'
Autor:
Awais Javed, Imran Rashid, Shahzaib Tahir, Saqib Saeed, Abdullah M. Almuhaideb, Khalid Alissa
Publikováno v:
IEEE Access, Vol 12, Pp 79138-79150 (2024)
Advanced Persistent Threats commonly use Domain Generation Algorithms to evade advanced detection methods to establish communication with their command and control servers. To overcome the DNS protocol legitimacy breach, several Domain Generation Alg
Externí odkaz:
https://doaj.org/article/f91a23b5ad7d492fa5809bba03b8c101
Autor:
Tahir Abbas Khan, Areej Fatima, Tariq Shahzad, Atta-Ur-Rahman, Khalid Alissa, Taher M. Ghazal, Mahmoud M. Al-Sakhnini, Sagheer Abbas, Muhammad Adnan Khan, Arfan Ahmed
Publikováno v:
IEEE Access, Vol 11, Pp 39418-39430 (2023)
Identifying human diseases remains a difficult process, even in the age of advanced information technology and the smart healthcare industry 5.0. In the smart healthcare industry 5.0, precise prediction of human diseases, particularly lethal cancer d
Externí odkaz:
https://doaj.org/article/850b0a502ca94d5780f594920c51a7e7
Autor:
Arfan Ali Nagra, Khalid Alissa, Taher M. Ghazal, Saigeeta Kukunuru, Muhammad Mugees Asif, Muhammad Fawad
Publikováno v:
Applied Artificial Intelligence, Vol 36, Iss 1 (2022)
Urdu language is being spoken by over 64 million people and its Roman script is very popular, especially on social networking sites. Most users prefer Roman Urdu over English grammar for communication on social networking platforms such as Facebook,
Externí odkaz:
https://doaj.org/article/d9a59e8baab74f58935428ee0741219a
Autor:
Nouf Al-Kahtani, Sumaiah Alrawiai, Bnan Mohammed Al-Zahrani, Rahaf Ali Abumadini, Afnan Aljaffary, Bayan Hariri, Khalid Alissa, Zahra Alakrawi, Arwa Alumran
Publikováno v:
Digital Health, Vol 8 (2022)
Background The digital revolution has had a huge impact on healthcare around the world. Digital technology could dramatically improve the accuracy of diagnosis, treatment, health outcomes, efficiency of care, and workflow of healthcare operations. Us
Externí odkaz:
https://doaj.org/article/aa730eddbaf8474885d970ab070b63cc
Autor:
Sahar Arooj, Atta-ur-Rahman, Muhammad Zubair, Muhammad Farhan Khan, Khalid Alissa, Muhammad Adnan Khan, Amir Mosavi
Publikováno v:
Frontiers in Public Health, Vol 10 (2022)
Cancer is a major public health issue in the modern world. Breast cancer is a type of cancer that starts in the breast and spreads to other parts of the body. One of the most common types of cancer that kill women is breast cancer. When cells become
Externí odkaz:
https://doaj.org/article/4dc2bbfcba8b4856bca62fe9ec38447f
Publikováno v:
Sensors, Vol 22, Iss 16, p 5966 (2022)
The digital transformation disrupts the various professional domains in different ways, though one aspect is common: the unified platform known as cloud computing. Corporate solutions, IoT systems, analytics, business intelligence, and numerous tools
Externí odkaz:
https://doaj.org/article/1087e6a20fc748dd820a5b370f5a30d4
Publikováno v:
Computers, Materials & Continua. 74:2317-2330
Autor:
Tahir Alyas, Taher M. Ghazal, Badria Sulaiman Alfurhood, Munir Ahmad, Ossma Ali Thawabeh, Khalid Alissa, Qaiser Abbas
Publikováno v:
Computers, Materials & Continua. 74:6289-6305
Autor:
Iman Almomani, Walid El-Shafai, Aala AlKhayer, Albandari Alsumayt, Sumayh S. Aljameel, Khalid Alissa
Publikováno v:
Computers, Materials & Continua. 74:3515-3537
Autor:
Malek Alzaqebah, Mutasem K. Alsmadi, Norita Md Norwawi, Mohammed Azmi Al-Betar, Khalid Alissa, Ayman A. Hazaymeh, Bashar A. Aldeeb
Publikováno v:
Journal of King Saud University - Computer and Information Sciences. 34:4847-4859
The current study investigates the Intelligent Water Drops (IWD) metaheuristic algorithm to construct and produce good quality solutions for the university examination timetabling problem (UETP). The IWD is a population-based metaheuristic that simul