Zobrazeno 1 - 10
of 184
pro vyhledávání: '"A. Shafiabady"'
Publikováno v:
طب جانباز, Vol 12, Iss 1, Pp 43-51 (2020)
Aims: Happiness is one of the most important mental needs of mankind which has a major impact on personality and mental health. The aim of this study was to investigate the effectiveness of acceptance and commitment therapy and Logotherapy on happine
Externí odkaz:
https://doaj.org/article/6922286216e94ee587cfa3030ddcd740
Publikováno v:
طب جانباز, Vol 11, Iss 3, Pp 139-145 (2019)
Aims: Marital satisfaction is one of the factors that can affect not only on the life quality of veterans but also on their families and society. The aim of this study was to investigate the effectiveness of acceptance and commitment therapy and logo
Externí odkaz:
https://doaj.org/article/7b89972f399e48ebbbaa00fd5afaabae
Publikováno v:
طب جانباز, Vol 10, Iss 4, Pp 173-179 (2018)
Aims: Despite passing of years since the end of the war, veterans are still experiencing a lot of physical and psychological problems, which can seriously affect well-being of their wives and, consequently, family function. The aim of this study was
Externí odkaz:
https://doaj.org/article/24ed629bb2c1466998040ea8871e1b8b
Graph neural networks (GNNs) have proven their efficacy in a variety of real-world applications, but their underlying mechanisms remain a mystery. To address this challenge and enable reliable decision-making, many GNN explainers have been proposed i
Externí odkaz:
http://arxiv.org/abs/2309.16918
Autor:
Robert M. X. Wu, Niusha Shafiabady, Huan Zhang, Haiyan Lu, Ergun Gide, Jinrong Liu, Clement Franck Benoit Charbonnier
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract This research aims to explore more efficient machine learning (ML) algorithms with better performance for short-term forecasting. Up-to-date literature shows a lack of research on selecting practical ML algorithms for short-term forecasting
Externí odkaz:
https://doaj.org/article/feb2fb15481d4eb7889075c3146c295a
Autor:
Arefin Ittesafun Abian, Mohaimenul Azam Khan Raiaan, Asif Karim, Sami Azam, Nur Mohammad Fahad, Niusha Shafiabady, Kheng Cher Yeo, Friso De Boer
Publikováno v:
Frontiers in Computer Science, Vol 6 (2024)
IntroductionAn automated computerized approach can aid radiologists in the early diagnosis of lung disease from video modalities. This study focuses on the difficulties associated with identifying and categorizing respiratory diseases, including COVI
Externí odkaz:
https://doaj.org/article/a97a1449750e446b862b0640c4e145d5
Autor:
Nguyen, Thanh Q. a, ⁎, Vu, Tu B. b, Shafiabady, Niusha c, Nguyen, Thuy T. d, Nguyen, Phuoc T. a, ⁎
Publikováno v:
In Structures December 2024 70
Autor:
Wu, Robert M. X.1 (AUTHOR) mingxuan.wu@uts.edu.au, Shafiabady, Niusha2,3 (AUTHOR), Zhang, Huan4 (AUTHOR), Lu, Haiyan1 (AUTHOR), Gide, Ergun5 (AUTHOR), Liu, Jinrong1 (AUTHOR), Charbonnier, Clement Franck Benoit1 (AUTHOR)
Publikováno v:
Scientific Reports. 9/20/2024, Vol. 14 Issue 1, p1-18. 18p.
Akademický článek
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Autor:
Robert M. X. Wu, Zhongwu Zhang, Huan Zhang, Yongwen Wang, Niusha Shafiabady, Wanjun Yan, Jinwen Gou, Ergun Gide, Siqing Zhang
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-20 (2023)
Abstract Among all the gas disasters, gas concentration exceeding the threshold limit value (TLV) has been the leading cause of accidents. However, most systems still focus on exploring the methods and framework for avoiding reaching or exceeding TLV
Externí odkaz:
https://doaj.org/article/0f437acbd0da483289c5369cba3b82dd