Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Sara A Althubiti"'
Autor:
Muhammad Hassam, Muhammad Attique Khan, Ammar Armghan, Sara A. Althubiti, Majed Alhaisoni, Abdullah Alqahtani, Seifedine Kadry, Yongsung Kim
Publikováno v:
IEEE Access, Vol 10, Pp 91828-91839 (2022)
Fruit disease recognition is quickly becoming a hot topic in the field of computer vision. The presence of plant diseases not only reduces fruit production but also causes a significant loss to the national economy. Citrus fruits help to strengthen t
Externí odkaz:
https://doaj.org/article/7467e9f5753f44d49629b2d89ddfbc1a
Autor:
Manikandan Thirumalaisamy, Shajahan Basheer, Shitharth Selvarajan, Sara A. Althubiti, Fayadh Alenezi, Gautam Srivastava, Jerry Chun-Wei Lin
Publikováno v:
Sensors, Vol 22, Iss 19, p 7169 (2022)
There can be many inherent issues in the process of managing cloud infrastructure and the platform of the cloud. The platform of the cloud manages cloud software and legality issues in making contracts. The platform also handles the process of managi
Externí odkaz:
https://doaj.org/article/9054498bd5a9458d861fa8cc75e78b40
Autor:
Muhammad Attique Khan, Awais Khan, Majed Alhaisoni, Abdullah Alqahtani, Ammar Armghan, Sara A. Althubiti, Fayadh Alenezi, Senghour Mey, Yunyoung Nam
Publikováno v:
Computers, Materials & Continua. 75:5087-5103
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::769d0fb6bf7c43a37be3f98c94edc4ea
https://doi.org/10.32604/cmc.2023.033856
https://doi.org/10.32604/cmc.2023.033856
Autor:
K. Kalyani, Sara A Althubiti, Mohammed Altaf Ahmed, E. Laxmi Lydia, Seifedine Kadry, Neunggyu Han, Yunyoung Nam
Publikováno v:
Computers, Materials & Continua. 75:149-164
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1ad9e4e2139a3bba8817fc317dae23f
https://doi.org/10.32604/cmc.2023.033005
https://doi.org/10.32604/cmc.2023.033005
Autor:
Ziyang He, Shuaiying Yuan, Jianhui Zhao, Bo Du, Zhiyong Yuan, Adi Alhudhaif, Fayadh Alenezi, Sara A Althubiti
Publikováno v:
Information Sciences. 606:649-668
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a35ba93aac4f961cce32568603a0af2
https://doi.org/10.1016/j.ins.2022.05.070
https://doi.org/10.1016/j.ins.2022.05.070
Publikováno v:
Information Sciences. 607:1061-1073
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46d77558671c05dbbe1dd2b705da0cc1
https://doi.org/10.1016/j.ins.2022.06.051
https://doi.org/10.1016/j.ins.2022.06.051
Publikováno v:
Neural Computing and Applications. 34:21763-21775
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ecbf4d5bf35cfdffc3746e09f14f0706
https://doi.org/10.1007/s00521-022-07630-6
https://doi.org/10.1007/s00521-022-07630-6
Autor:
Shrikant Upadhyay, Mohit Kumar, Ashwani Kumar, Ramesh Karnati, Gouse Baig Mahommad, Sara A. Althubiti, Fayadh Alenezi, Kemal Polat
Publikováno v:
Computational and Mathematical Methods in Medicine. 2022:1-12
Speech is one form of biometric that combines both physiological and behavioral features. It is beneficial for remote-access transactions over telecommunication networks. Presently, this task is the most challenging one for researchers. People’s me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::215ca6245e491ca17764659dadb287a5
https://doi.org/10.1155/2022/8717263
https://doi.org/10.1155/2022/8717263
Publikováno v:
Wireless Communications and Mobile Computing. 2022:1-10
Manufacturing, one of the most valuable industries in the world, is boundlessly automatable yet still quite stuck in traditionally manual and slow processes. Industry 4.0 is racing to define a new era of digital manufacturing through Internet of Thin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d53fe25c66c5900f927c66b4868ba75b
https://doi.org/10.1155/2022/1070405
https://doi.org/10.1155/2022/1070405
Publikováno v:
Mathematical Problems in Engineering. 2022:1-8
Deep phenotyping is defined as learning about genotype-phenotype associations and the history of human illness by analyzing phenotypic anomalies. It is significant to investigate the association between phenotype and genotype. Machine learning approa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d1b17bcdcc9d3dce26907afbd17a51b
https://doi.org/10.1155/2022/7111647
https://doi.org/10.1155/2022/7111647