Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Ali Alqazzaz"'
Autor:
Ali Alqazzaz, Karam M. Sallam
Publikováno v:
Neutrosophic Sets and Systems, Vol 65, Pp 151-160 (2024)
This study proposed a neutrosophic set framework with TreeSoft Set for sustainable waste valorization selection. The neutrosophic set is used to overcome uncertainty and vague information in the evaluation process. The neutrosophic set has three memb
Externí odkaz:
https://doaj.org/article/f5b83e0f1671486992419b902d38d5dc
Autor:
Ali Alqazzaz, Karam M. Sallam
Publikováno v:
Neutrosophic Sets and Systems, Vol 64, Pp 170-184 (2024)
The introduction of Industry 4.0 has brought about a significant shift in the manufacturing and supply chain management sectors, requiring supplier selection procedures to be adjusted to this rapidly changing technical environment. This study aims to
Externí odkaz:
https://doaj.org/article/1301956f5771450d906b4c094044afb4
Autor:
Puneet Kumar, Dalwinder Singh, Mamoona Humayun, Ali Alqazzaz, Arun Malik, Ibrahim Alrashdi, Isha Batra, Ghadah Naif Alwakid
Publikováno v:
IEEE Access, Vol 12, Pp 146733-146748 (2024)
Community detection is a very important research topic in the field of Social Network Analysis. Lots of researchers are working in this field due to its applications in various fields like medicine, social, Business, Marketing, and research. Research
Externí odkaz:
https://doaj.org/article/add24a42db9345e49d6a9c2e3f4c1077
Autor:
Mostafa A. Ahmad, Mourad Elloumi, Ahmed H. Samak, Ali M. Al-Sharafi, Ali Alqazzaz, Monir Abdullah Kaid, Costas Iliopoulos
Publikováno v:
Alexandria Engineering Journal, Vol 61, Iss 12, Pp 10577-10592 (2022)
In the latest years, there is an increasing emphasis on DICOM medical images, especially in digital medical images transmission to e-health services. Besides, the confidentiality and protection of patients’ secure information need more attention an
Externí odkaz:
https://doaj.org/article/6960694a4508496a8920bdc9269bcc80
Autor:
Ali ALQazzaz, Faiq I. Gorial, Ahmed Dheyaa Al‐Obaidi, Mustafa Najah Al‐Obaidi, Nabaa Ihsan Awadh, Hashim Talib Hashim
Publikováno v:
Clinical Case Reports, Vol 11, Iss 3, Pp n/a-n/a (2023)
Abstract By reporting this case, we hope to encourage medical professionals to concentrate on diagnosing old patients with unusual presentation of rheumatoid arthritis.
Externí odkaz:
https://doaj.org/article/10a7e3d64e9848d38c3ef7a3b3166999
Publikováno v:
IEEE Access, Vol 9, Pp 27038-27050 (2021)
Although extensive research has been conducted on securing the Internet of Things (IoT) communication protocols, various vulnerabilities and exploits are continuously discovered and reported. Since vulnerabilities are introduced from either insecure
Externí odkaz:
https://doaj.org/article/9035df4552604d708497123e58556e1d
Autor:
Raed S. Alharthi, Esam Aloufi, Ibrahim Alrashdi, Ali Alqazzaz, Mohamed A. Zohdy, Julian L. Rrushi
Publikováno v:
IEEE Access, Vol 8, Pp 114608-114622 (2020)
Spatial Crowdsourcing (SC) is a new valuable paradigm, relies on crowd workers to perform a set of spatial-temporal tasks at specific locations. It has garnered attention in collecting and processing social, environmental, and other spatio-temporal d
Externí odkaz:
https://doaj.org/article/130a07351668400da403cac30bef9695
Autor:
Ali Alqazzaz, Mohammad Tabrez Quasim, Mohammed Mujib Alshahrani, Ibrahim Alrashdi, Mohammad Ayoub Khan
Publikováno v:
Computer Systems Science and Engineering. 46:551-562
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62c8df5384f6033723537622586f5170
https://doi.org/10.32604/csse.2023.031048
https://doi.org/10.32604/csse.2023.031048
Publikováno v:
Journal of Healthcare Engineering. 2022:1-14
Revolution in healthcare can be experienced with the advancement of smart sensorial things, Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Internet of Medical Things (IoMT), and edge analytics with the integration of cloud c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb24157ab76d2c0b22933a641c9c6be5
https://doi.org/10.1155/2022/2950699
https://doi.org/10.1155/2022/2950699
Publikováno v:
IEEE Access, Vol 8, Pp 114608-114622 (2020)
Spatial Crowdsourcing (SC) is a new valuable paradigm, relies on crowd workers to perform a set of spatial-temporal tasks at specific locations. It has garnered attention in collecting and processing social, environmental, and other spatio-temporal d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9697cdc98f760ef69515bc3f8218f415
https://ieeexplore.ieee.org/document/9123385/
https://ieeexplore.ieee.org/document/9123385/