Zobrazeno 1 - 10
of 113
pro vyhledávání: '"Iyad Abu Doush"'
Autor:
Ahmad R. Alsaber, Adeeba Al-Herz, Balqees Alawadhi, Iyad Abu Doush, Parul Setiya, Ahmad T. AL-Sultan, Khulood Saleh, Adel Al-Awadhi, Eman Hasan, Waleed Al-Kandari, Khalid Mokaddem, Aqeel A. Ghanem, Yousef Attia, Mohammed Hussain, Naser AlHadhood, Yaser Ali, Hoda Tarakmeh, Ghaydaa Aldabie, Amjad AlKadi, Hebah Alhajeri
Publikováno v:
Frontiers in Big Data, Vol 7 (2024)
BackgroundRheumatoid arthritis (RA) is a common condition treated with biological disease-modifying anti-rheumatic medicines (bDMARDs). However, many patients exhibit resistance, necessitating the use of machine learning models to predict remissions
Externí odkaz:
https://doaj.org/article/c26da414dc634e45afbbfbd0088c6248
Autor:
Sharif Naser Makhadmeh, Mohammed Azmi Al-Betar, Iyad Abu Doush, Mohammed A. Awadallah, Sofian Kassaymeh, Seyedali Mirjalili, Raed Abu Zitar
Publikováno v:
IEEE Access, Vol 12, Pp 22991-23028 (2024)
The Grey Wolf Optimizer (GWO) has emerged as one of the most captivating swarm intelligence methods, drawing inspiration from the hunting behavior of wolf packs. GWO’s appeal lies in its remarkable characteristics: it is parameter-free, derivative-
Externí odkaz:
https://doaj.org/article/925626c3fb5e4e77a3c274ff806dd3ba
Autor:
Mohammed Azmi Al-Betar, Mohammed A. Awadallah, Sharif Naser Makhadmeh, Iyad Abu Doush, Raed Abu Zitar, Samah Alshathri, Mohamed Abd Elaziz
Publikováno v:
Alexandria Engineering Journal, Vol 64, Iss , Pp 365-389 (2023)
This paper proposes a hybridized version of the Harris Hawks Optimizer (HHO) with adaptive-hill-climbing optimizer to tackle economic load dispatch (ELD) problems. ELD is an important problem in power systems that is tackled by finding the optimal sc
Externí odkaz:
https://doaj.org/article/64054ac8e01e49efb3960e8cf5153bf3
Autor:
Zaid Abdi Alkareem Alyasseri, Mohammed Azmi Al-Betar, Mohammed A. Awadallah, Sharif Naser Makhadmeh, Ammar Kamal Abasi, Iyad Abu Doush, Osama Ahmad Alomari
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 8, Pp 4821-4835 (2022)
In this paper, the β-hill climbing optimizer is hybridized with the flower pollination algorithm (FPA) as a local refinement operator for global optimization problems. The proposed method is called HyFPAβ-hc. Such hybridization aims to enhance the
Externí odkaz:
https://doaj.org/article/2979e956933e4300824751d513bdd650
Autor:
Iyad Abu Doush, Zainab AlMeraj
Publikováno v:
Jordanian Journal of Computers and Information Technology, Vol 05, Iss 3, Pp 152-169 (2019)
Nowadays, the Web is used as a medium for providing different kinds of services for people. The needs of people with disabilities have to be taken into consideration when developing E-government. The objective of this work is to evaluate the Web acce
Externí odkaz:
https://doaj.org/article/dd2970f4fda6470398b2fb48c916579f
Autor:
Ammar Kamal Abasi, Sharif Naser Makhadmeh, Mohammed Azmi Al-Betar, Osama Ahmad Alomari, Mohammed A. Awadallah, Zaid Abdi Alkareem Alyasseri, Iyad Abu Doush, Ashraf Elnagar, Eman H. Alkhammash, Myriam Hadjouni
Publikováno v:
Applied Sciences, Vol 12, Iss 19, p 10057 (2022)
The Lemur Optimizer (LO) is a novel nature-inspired algorithm we propose in this paper. This algorithm’s primary inspirations are based on two pillars of lemur behavior: leap up and dance hub. These two principles are mathematically modeled in the
Externí odkaz:
https://doaj.org/article/9f2e9ea348ca4d8f8ca11cb789203156
Autor:
Sharif Naser Makhadmeh, Mohammed Azmi Al-Betar, Mohammed A. Awadallah, Ammar Kamal Abasi, Zaid Abdi Alkareem Alyasseri, Iyad Abu Doush, Osama Ahmad Alomari, Robertas Damaševičius, Audrius Zajančkauskas, Mazin Abed Mohammed
Publikováno v:
Mathematics, Vol 10, Iss 3, p 315 (2022)
The Coronavirus herd immunity optimizer (CHIO) is a new human-based optimization algorithm that imitates the herd immunity strategy to eliminate of the COVID-19 disease. In this paper, the coronavirus herd immunity optimizer (CHIO) is modified to tac
Externí odkaz:
https://doaj.org/article/bc22fb832bd341ec82b8aa814393c5e8
Publikováno v:
Jordanian Journal of Computers and Information Technology, Vol 3, Iss 3, Pp 172-185 (2017)
This work implements the Firefly algorithm (FA) to find the best decision hyper-plane in the feature space. The proposed classifier uses a cross-validation of a 10-fold portioning for the training and the testing phases used for classification. Five
Externí odkaz:
https://doaj.org/article/64b59083527d4d2f92af1c89bdb957a6
Autor:
Iyad Abu Doush, Sahar AL-Btoush
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 29, Iss 4, Pp 484-492 (2017)
Banknote recognition means classifying the currency (coin and paper) to the correct class. In this paper, we developed a dataset for Jordanian currency. After that we applied automatic mobile recognition system using a smartphone on the dataset using
Externí odkaz:
https://doaj.org/article/91fa2299ad5240cb9fb2ba6c11d6611b
Autor:
Iyad Abu Doush, Basima Hani F. Hasan, Mohammed Azmi Al-Betar, Eslam Al Maghayreh, Faisal Alkhateeb, Mohammad Hamdan
Publikováno v:
Computer Science Journal of Moldova, Vol 22, Iss 1(64), Pp 77-98 (2014)
Artificial Bee Colony (ABC) is a swarm-based metaheuristic for continuous optimization. Recent work hybridized this algorithm with other metaheuristics in order to improve performance. The work in this paper, experimentally evaluates the use of diff
Externí odkaz:
https://doaj.org/article/738943704618434da4958876d2f7d4f4