Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Mohammad Hashem Ryalat"'
Autor:
Mohammed Alweshah, Enas Ramadan, Mohammad Hashem Ryalat, Muder Almi'ani, Abdelaziz I. Hammouri
Publikováno v:
Jordanian Journal of Computers and Information Technology, Vol 06, Iss 01, Pp 1-15 (2020)
Classification is a crucial step in data mining as it facilitates decision-making in many areas of human activity, such as scientific endeavors, marketing campaigns, biomedical research and industrial applications. The probabilistic neural network (P
Externí odkaz:
https://doaj.org/article/e77fbfb0e00b44c6979e74c5654395cc
Autor:
Mohammad Hashem Ryalat, Hussam N. Fakhouri, Jamal Zraqou, Faten Hamad, Mamon S. Alzboun, Ahmad K. Al hwaitat
Publikováno v:
International Journal of Advanced Computer Science and Applications. 14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af4d288a6d4d6d61560e42a78cea52f0
https://doi.org/10.14569/ijacsa.2023.0140277
https://doi.org/10.14569/ijacsa.2023.0140277
Publikováno v:
Neural Computing and Applications. 34:409-455
This paper presents a novel meta-heuristic algorithm called Ali Baba and the forty thieves (AFT) for solving global optimization problems. Recall the famous tale of Ali Baba and the forty thieves, where Ali Baba once saw a gang of forty thieves enter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa75110cd710ffa02b982b10a9aa61d0
https://doi.org/10.1007/s00521-021-06392-x
https://doi.org/10.1007/s00521-021-06392-x
Publikováno v:
International Journal of Computer Applications. 183:7-11
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ded3986d6567467e24ddcec460e122e7
https://doi.org/10.5120/ijca2021921423
https://doi.org/10.5120/ijca2021921423
Autor:
Saleh Alkhalaileh, Mohammad Hashem Ryalat, Osama M. Dorgham, M. Khader, Mohammed Alweshah, Jawdat Alshaer
Publikováno v:
Multimedia Tools and Applications. 80:30057-30090
In the medical field, image segmentation provides important information for surgical planning and registration, and thus demands accurate segmentation. In order to improve the effectiveness and the threshold accuracy of segmentation, researchers have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f7a085ec258d3848e58fd186ec13dc7
https://doi.org/10.1007/s11042-020-10147-6
https://doi.org/10.1007/s11042-020-10147-6
Autor:
Mohammad Hashem Ryalat
Publikováno v:
2022 2nd International Conference on Computing and Information Technology (ICCIT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9f80e52a8690bc515a1b793ea1db92f
https://doi.org/10.1109/iccit52419.2022.9711643
https://doi.org/10.1109/iccit52419.2022.9711643
Autor:
Mohammad Hashem Ryalat, Osama Dorgham, Sara Tedmori, Zainab Al-Rahamneh, Nijad Al-Najdawi, Seyedali Mirjalili
Publikováno v:
Neural computingapplications.
Digital image processing techniques and algorithms have become a great tool to support medical experts in identifying, studying, diagnosing certain diseases. Image segmentation methods are of the most widely used techniques in this area simplifying i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfd65e524d044c8c0b4a5d32369f6641
https://pubmed.ncbi.nlm.nih.gov/36471798
https://pubmed.ncbi.nlm.nih.gov/36471798
Autor:
Rizik M. H. Al-Sayyed, Mohammad Hashem Ryalat, Dheeb Albashish, Azizi Abdullah, Nedaa Ahmad Almansour
Publikováno v:
ICIT
Deep learning (DL) technologies are becoming a buzzword these days, especially for breast histopathology image tasks, such as diagnosing, due to the high performance obtained in image classification. Among deep learning types, Convolutional Neural Ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d5739328ac38b1d4f818f2f7cee3e53
https://doi.org/10.1109/icit52682.2021.9491631
https://doi.org/10.1109/icit52682.2021.9491631
Publikováno v:
Informatics in Medicine Unlocked, Vol 20, Iss, Pp 100375-(2020)
The rendering of digitally reconstructed radiograph (DRR) images involves creating a digital reconstruction of an image made by a three-dimensional (3D) imaging system, such as a computed tomography (CT) scan, to produce a new two-dimensional (2D) im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8434a530260ec1ac3926431cbab76ec0
http://www.sciencedirect.com/science/article/pii/S2352914820302446
http://www.sciencedirect.com/science/article/pii/S2352914820302446
Publikováno v:
ACIT
Automatic segmentation of medical images is a key step in contouring during radiotherapy planning. Computed topography (CT) and Magnetic resonance (MR) imaging are the most widely used radiographic techniques in diagnosis, clinical studies and treatm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bcd45d8a935f6706493e6e984dbdd330
https://doi.org/10.1109/acit.2018.8672688
https://doi.org/10.1109/acit.2018.8672688