Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Hossein Ghayoumi Zadeh"'
Autor:
Soheila Rezaei, Hossein Ghayoumi Zadeh, Mohammad Hossein Gholizadeh, ali fayazi, khosro rezaee
Publikováno v:
Iranian Journal of Medical Physics, Vol 21, Iss 3, Pp 203-210 (2024)
Introduction: Due to breast cancer's prevalence as the second leading cause of cancer death worldwide, accurate survival prediction models are crucial. This study aimed to use an optimized deep neural network to predict breast cancer patient survival
Externí odkaz:
https://doaj.org/article/35155859e7684d9a841f892a915b77bd
Publikováno v:
Energies, Vol 17, Iss 16, p 3963 (2024)
Effective fault identification and management are critical for efficient wind turbine operation. This research presents a novel L1 adaptive-SMC system designed to enhance fault tolerance in wind turbines, specifically addressing common issues such as
Externí odkaz:
https://doaj.org/article/3e08cf3456304a628f6065e6f62e57d4
Autor:
Hossein Ghayoumi Zadeh, Ali Fayazi, Khosro Rezaee, Mohammad Hossein Gholizadeh, Mehdi Eskandari
Publikováno v:
مجله انفورماتیک سلامت و زیست پزشکی, Vol 8, Iss 3, Pp 315-325 (2021)
Introduction: Cardiovascular diseases are one of the leading causes of mortality in today’s industrial world. Occlusion of left atrial appendage (LAA) using the manufactured devices is a growing trend. The objective of this study was to develop a c
Externí odkaz:
https://doaj.org/article/89fb360e83494ee3b5cef28fda316c38
Publikováno v:
مجله پزشکی دانشگاه علوم پزشکی تبریز, Vol 42, Iss 6, Pp 649-658 (2021)
Background: This paper presents a method to improve medical radiography images based on the use of statistical signal moments. Methods: In this paper, the image with noise is considered as a statistical signal, and the noise reduction is performed by
Externí odkaz:
https://doaj.org/article/c0fba7cf8494491eba65f54eaf8226fe
Publikováno v:
مجله انفورماتیک سلامت و زیست پزشکی, Vol 7, Iss 2, Pp 91-101 (2020)
Introduction: Thermography is a non-invasive imaging technique that can be used to diagnose breast cancer. In this study, a method was presented for the extraction of suitable features in dynamic thermographic images of breast. The extracted features
Externí odkaz:
https://doaj.org/article/fb9018ae782e4b698164b125d0398fa8
Publikováno v:
مجله انفورماتیک سلامت و زیست پزشکی, Vol 6, Iss 4, Pp 298-308 (2020)
Introduction: Brucellosis is considered as one of the most important common infectious diseases between humans and animals. Considering the endemic nature of brucellosis and the existence of numerous reports of human and animal cases of brucellosis i
Externí odkaz:
https://doaj.org/article/e2fa0b59f0d64042b0c480c0fd055479
Publikováno v:
Journal of Medical Signals and Sensors, Vol 10, Iss 2, Pp 86-93 (2020)
Background: In this paper, a novel approach is proposed for the recognition of Persian phonemes in the Persian consonant-vowel combination (PCVC) speech dataset. Nowadays, deep neural networks (NNs) play a crucial role in classification tasks. Howeve
Externí odkaz:
https://doaj.org/article/a19327ffeef6408caf6e2da779f83505
Autor:
Hamidreza Bagheri, Mohammad Sadegh Hosseini, Hossein Ghayoumi Zadeh, Behrouz Notej, Ali Fayazi
Publikováno v:
Arabian Journal of Chemistry, Vol 14, Iss 10, Pp 103368- (2021)
The main motivation of this study is development of density prediction of mixture including ionic liquid (IL) using semi-empirical and cubic equations of state (CEoS). The considered systems are contained of 51 ILs, 41 solvents and 4626 data point in
Externí odkaz:
https://doaj.org/article/a64f012e15ad44f28e42ae96f57b12bb
Autor:
Hossein Ghayoumi Zadeh, Mostafa Danaeian, Ali Fayazi, Cyrus Ahmadi Toussi, Nasrin Ahmadinejad, Mitra Navid
Publikováno v:
Tehran University Medical Journal, Vol 76, Iss 7, Pp 503-508 (2018)
Background: Breast cancer is a common malignancy in which early breast cancer detection by the help of imaging can improve the treatment outcome. Thermography utilizes infrared beams which are fast, non-invasive, and non-contact and the output create
Externí odkaz:
https://doaj.org/article/2526371fb95d4587a15903196ce96bbc
Autor:
Hossein Ghayoumi Zadeh, Mostafa Danaeian, Ali Fayazi, Farshad Namdari, Sayed Mohammad Mostafavi Isfahani
Publikováno v:
Tehran University Medical Journal, Vol 76, Iss 1, Pp 26-32 (2018)
Background: One common symptom of diabetes is diabetic retinopathy, if not timely diagnosed and treated, leads to blindness. Retinal image analysis has been currently adopted to diagnose retinopathy. In this study, a model of hierarchical self-organi
Externí odkaz:
https://doaj.org/article/6b6f1bd51a7446a99151ee6b9ff2511d