Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Mohammad Hossein Gholizadeh"'
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
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:
IEEE Access, Vol 8, Pp 8393-8404 (2020)
The precision of Rayleigh distribution, as the simplest fading model in Non-Line-of-Sight (NLOS) channels, is low in high-resolution radars and long-distance communication receivers. Many currently-available statistical models with a higher precision
Externí odkaz:
https://doaj.org/article/6e104f74be024df48e4feb4d9831a458
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
Publikováno v:
تحقيقات جغرافيايی, Vol 32, Iss 2, Pp 21-39 (2017)
Awareness of bioclimatic conditions of a place, is an appropriate guide for a lot of human activities. This study aims to determine the bioclimatic conditions in Iran, using the Predicted Mean Vote index. In order to analyze Iran’s bioclimatic cond
Externí odkaz:
https://doaj.org/article/726ccc0c188b4389950fe7ccaea1ad70
Publikováno v:
Journal of Remote Sensing and Gis. 14:51-60
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b82c06ca198a708001cc2721266db520
https://doi.org/10.52547/gisj.14.2.51
https://doi.org/10.52547/gisj.14.2.51
Publikováno v:
Medical Journal of Tabriz University of Medical Sciences and Health Services. 42:649-658
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://explore.openaire.eu/search/publication?articleId=doi_________::9893dee26b5a6f15d2fab374c09977ac
https://doi.org/10.34172/mj.2021.005
https://doi.org/10.34172/mj.2021.005
Autor:
Mohammad Hossein Gholizadeh, H Noori
Publikováno v:
Wireless Networks. 27:1215-1231
In this paper, jamming and anti-jamming in a time slotted orthogonal frequency division multiple access (OFDMA) are investigated. The users of the network cooperate to mitigate the jamming effect. Interactions among the network users and the jammer a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f198f72f24908db52c2c396b021eb8d7
https://doi.org/10.1007/s11276-020-02519-5
https://doi.org/10.1007/s11276-020-02519-5
Autor:
Atefeh Ahmadi Dehrashid, Naser Valizadeh, Mohammad Hossein Gholizadeh, Hossein Ahmadi Dehrashid, Bahram Nasrollahizadeh
Publikováno v:
Climate Change ISBN: 9783030862893
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::826e9ee27b1e6ac82cb5577923cdea7d
https://doi.org/10.1007/978-3-030-86290-9_21
https://doi.org/10.1007/978-3-030-86290-9_21
