Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Abdulkader Helwan"'
Publikováno v:
Diagnostics, Vol 14, Iss 7, p 681 (2024)
The determination of the potential role and advantages of artificial intelligence-based models in the field of surgery remains uncertain. This research marks an initial stride towards creating a multimodal model, inspired by the Video-Audio-Text Tran
Externí odkaz:
https://doaj.org/article/c1398ce349284a44824f3aa71585cbbb
Autor:
Abdulkader Helwan, Mohammad Khaleel Sallam Ma’aitah, Rahib H. Abiyev, Selin Uzelaltinbulat, Bengi Sonyel
Publikováno v:
Journal of Food Quality, Vol 2021 (2021)
This study presents the design of an intelligent system based on deep learning for grading fruits. For this purpose, the recent residual learning-based network “ResNet-50” is designed to sort out fruits, particularly bananas into healthy or defec
Externí odkaz:
https://doaj.org/article/cd9cbade73e6406b98fa0c6a9f752923
Autor:
Abdulkader Helwan, Dilber Uzun Ozsahin
Publikováno v:
Applied Computational Intelligence and Soft Computing, Vol 2017 (2017)
The most commonly encountered problem in vision systems includes its capability to suffice for different scenes containing the object of interest to be detected. Generally, the different backgrounds in which the objects of interest are contained sign
Externí odkaz:
https://doaj.org/article/c7cfebbc445a4b1ea43248e075e59052
Publikováno v:
Journal of X-Ray Science and Technology. 30:1009-1021
BACKGROUND: Knee Osteoarthritis (KOA) is the most common type of Osteoarthritis (OA) and it is diagnosed by physicians using a standard 0 –4 Kellgren Lawrence (KL) grading system which sets the KOA on a spectrum of 5 grades; starting from normal (0
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d391e92842676d2ae2f41f627bd9a1e2
https://doi.org/10.3233/xst-221190
https://doi.org/10.3233/xst-221190
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783031204289
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95eaf10852388b719cd1fe1fb9e26992
https://doi.org/10.1007/978-3-031-20429-6_56
https://doi.org/10.1007/978-3-031-20429-6_56
Autor:
Selin Uzelaltinbulat, Abdulkader Helwan, Bengi Sonyel, Mohammad Khaleel Sallam Ma’aitah, Rahib H. Abiyev
Publikováno v:
Journal of Food Quality, Vol 2021 (2021)
This study presents the design of an intelligent system based on deep learning for grading fruits. For this purpose, the recent residual learning-based network “ResNet-50” is designed to sort out fruits, particularly bananas into healthy or defec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2236509a281b662407c09fb0989acca7
https://doi.org/10.1155/2021/5516368
https://doi.org/10.1155/2021/5516368
Autor:
Abdulkader Helwan, Mohammad Khaleel Sallam Ma’aitah, Selin Uzelaltinbulat, Bengi Sonyel, Mohamad Ziad Ziad Altobel, Manal Darwish
Publikováno v:
Proceedings of International Conference on Emerging Technologies and Intelligent Systems ISBN: 9783030859893
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0001a186937a9548a846d9b9da3924e
https://doi.org/10.1007/978-3-030-85990-9_19
https://doi.org/10.1007/978-3-030-85990-9_19
Autor:
Abdulkader Helwan, Mohammad Khaleel Sallam Ma’aitah, Selin Uzelaltinbulat, Mohamad Ziad Altobel, Manal Darwish
Publikováno v:
Proceedings of International Conference on Emerging Technologies and Intelligent Systems ISBN: 9783030859893
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56ef99a80fda4a9032b5bb0187f54ebb
https://doi.org/10.1007/978-3-030-85990-9_18
https://doi.org/10.1007/978-3-030-85990-9_18
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030640576
The capability of artificial neural networks to use and combine simple learning rules to master different complex tasks is very motivating and has sufficed on lots of challenging pattern recognition problems. Thus, in this paper, we selected a patter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bd0e58fc36bafb21e4de92a361f1b68
https://doi.org/10.1007/978-3-030-64058-3_102
https://doi.org/10.1007/978-3-030-64058-3_102
Autor:
Mohammad Khalleel Sallam Ma'aitah, Ozum Tuncyurek, Abdulkader Helwan, Hani Hamdan, Dilber Uzun Ozsahin
Publikováno v:
Computational and Mathematical Methods in Medicine
Computational and Mathematical Methods in Medicine, 2021, pp.5527271. ⟨10.1155/2021/5527271⟩
Computational and Mathematical Methods in Medicine, Vol 2021 (2021)
Computational and Mathematical Methods in Medicine, 2021, pp.5527271. ⟨10.1155/2021/5527271⟩
Computational and Mathematical Methods in Medicine, Vol 2021 (2021)
International audience; The reverse transcriptase polymerase chain reaction (RT-PCR) is still the routinely used test for the diagnosis of SARS-CoV-2 (COVID-19). However, according to several reports, RT-PCR showed a low sensitivity and multiple test
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f62985d1d202a77c09054a464579355
https://hal.archives-ouvertes.fr/hal-03199862
https://hal.archives-ouvertes.fr/hal-03199862