Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Amany M. Sarhan"'
Autor:
Amany M. Sarhan, Mohamed Gobara, Shady Yasser, Zainab Elsayed, Ghada Sherif, Nada Moataz, Yasmen Yasir, Esraa Moustafa, Sara Ibrahim, Hesham A. Ali
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-33 (2024)
Abstract Osteoporosis, a silent yet debilitating disease, presents a significant challenge due to its asymptomatic nature until fractures occur. Rapid bone loss outpaces regeneration, leading to pain, disability, and loss of independence. Early detec
Externí odkaz:
https://doaj.org/article/92df9d7847794b24a77e3a21b23a8d71
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-22 (2024)
Abstract Nowadays, liver tumor segmentation has been widely applied for vital medical objectives such as illness diagnosis, treatment, and evaluation of liver function. In this work, we aim to improve the performance of hybrid convolution neural netw
Externí odkaz:
https://doaj.org/article/2a34a51180474636a8d62b7dd5b0b500
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-18 (2024)
Abstract An ischemic stroke attack can cause permanent damage to healthy brain tissue, leading to a permanent loss of motor or sensory function. It can also result in disability or death if not diagnosed and treated promptly. Early prediction of the
Externí odkaz:
https://doaj.org/article/bbcfc3d6da4a4b48984bdbce64674e61
Publikováno v:
Journal of Electrical Systems and Information Technology, Vol 11, Iss 1, Pp 1-31 (2024)
Abstract Recent studies have proven that data analytics may assist in predicting events before they occur, which may impact the outcome of current situations. In the medical sector, it has been utilized for predicting the likelihood of getting a heal
Externí odkaz:
https://doaj.org/article/e45b94055283447b8f9ae084920a0e5f
Publikováno v:
Diagnostics, Vol 12, Iss 8, p 1847 (2022)
The SARS-CoV-2 virus has proliferated around the world and caused panic to all people as it claimed many lives. Since COVID-19 is highly contagious and spreads quickly, an early diagnosis is essential. Identifying the COVID-19 patients’ mortality r
Externí odkaz:
https://doaj.org/article/c2b5dd7aed3b45f3981b96660b2d8492
Publikováno v:
Diagnostics, Vol 11, Iss 12, p 2343 (2021)
The wide prevalence of brain tumors in all age groups necessitates having the ability to make an early and accurate identification of the tumor type and thus select the most appropriate treatment plans. The application of convolutional neural network
Externí odkaz:
https://doaj.org/article/01baa7cb9783443087167e5a0c50dc1c
Publikováno v:
Data, Vol 6, Iss 1, p 1 (2020)
In data mining, outlier detection is a major challenge as it has an important role in many applications such as medical data, image processing, fraud detection, intrusion detection, and so forth. An extensive variety of clustering based approaches ha
Externí odkaz:
https://doaj.org/article/2d2b4d684cf8434db938c3fee58eadcd
Publikováno v:
Advances in Multimedia, Vol 2011 (2011)
Recently, because of its importance in computer vision and surveillance systems, object tracking has progressed rapidly over the last two decades. Researches on such systems still face several theoretical and technical problems that badly impact not
Externí odkaz:
https://doaj.org/article/c2191d2f7ed64b509ba892bc7fbd56b4
Publikováno v:
Neural Computing and Applications.
Deep Neural Networks (DNNs) are widely regarded as the most effective learning tool for dealing with large datasets, and they have been successfully used in thousands of applications in a variety of fields. Based on these large datasets, they are tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19678186b498196dc8c49e79a3776503
https://doi.org/10.1007/s00521-023-08568-z
https://doi.org/10.1007/s00521-023-08568-z
LRTI: landmark ratios with task importance toward accurate age estimation using deep neural networks
Publikováno v:
Neural Computing and Applications. 34:9647-9659
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df4f25809d2a850b823659b3a3c8d26c
https://doi.org/10.1007/s00521-022-06955-6
https://doi.org/10.1007/s00521-022-06955-6