Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Abdalsamad Keramatfar"'
Publikováno v:
مجله علمسنجی کاسپین, Vol 9, Iss 1, Pp 104-116 (2022)
Background and aim: Policymakers seek to evaluate their country's scientific performance and measure it in terms of effectiveness and problem-solving. The aim of this study was to make an analytical comparison of Iranian scientific documents in text
Externí odkaz:
https://doaj.org/article/572d0cdf520d4027a2ff5b167b83cfaa
Publikováno v:
Machine Learning with Applications, Vol 10, Iss , Pp 100401- (2022)
Recently, graph neural networks (GNNs) have become a hot topic in machine learning community. This paper presents a Scopus-based bibliometric overview of the GNNs’ research since 2004 when GNN papers were first published. The study aims to evaluate
Externí odkaz:
https://doaj.org/article/7d6824f417da40709591611b1063c049
Autor:
Fatemeh Kokabisaghi, Andrew C Miller, Farshid R Bashar, Mahmood Salesi, Ali A K Zarchi, Abdalsamad Keramatfar, Mohammad A Pourhoseingholi, Hosein Amini, Amir Vahedian-Azimi
Publikováno v:
BMJ Global Health, Vol 4, Iss 5 (2019)
International research collaborations improve individual, institutional and governmental capacities to respond to health crises and inequalities but may be greatly affected by political environments. Iran ranks highly in tertiary education, productiv
Externí odkaz:
https://doaj.org/article/c695dc845c5e4e79acffbd1ab4e35548
Publikováno v:
مجله علمسنجی کاسپین, Vol 2, Iss 1, Pp 33-38 (2015)
Background and aim: Although recent researches have declared the science growth rate and position improvement of Iran in the region of Middle East and Islamic countries, the quality of the science is still lost ring. Due to the lack of study on scien
Externí odkaz:
https://doaj.org/article/2186f8ffeab541afa4d1831c07a44e58
Publikováno v:
مجله علمسنجی کاسپین, Vol 1, Iss 1, Pp 48-53 (2014)
Background and aim: Due to the limited financial and human resources, determining the research priorities are the most important issues facing science and technology policymakers. This study determined the Iranian research priorities from economic ap
Externí odkaz:
https://doaj.org/article/4b4fc000f21247ecbcd0ea04402af534
Autor:
Maral Asiaee, Mandana Nourbakhsh, Amir Vahedian-Azimi, Mohammad Zare, Ramezan Jafari, Seyed Shahab Atashi, Abdalsamad Keramatfar
Publikováno v:
Clinical Linguistics & Phonetics. :1-19
To study the possibility of using acoustic parameters, i.e., Acoustic Voice Quality Index (AVQI) and Maximum Phonation Time (MPT) for predicting the degree of lung involvement in COVID-19 patients. This cross-sectional case-control study was conducte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e97517b4e3f75afc0ec52e3a05bb1ba2
https://doi.org/10.1080/02699206.2022.2160659
https://doi.org/10.1080/02699206.2022.2160659
Autor:
Senlin Zhu, Qingfeng Ji, Mariusz Ptak, Mariusz Sojka, Abdalsamad Keramatfar, Kwok Wing Chau, Shahab S. Band
Publikováno v:
The Geographical Journal. 189:357-369
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdbea9b5d5ea0464e4cef4ad3bd28c8c
https://doi.org/10.1111/geoj.12488
https://doi.org/10.1111/geoj.12488
Publikováno v:
Cognitive Computation. 14:2234-2245
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f6fba1a08f49075c5e0b81853085dfc
https://doi.org/10.1007/s12559-021-09986-8
https://doi.org/10.1007/s12559-021-09986-8
Autor:
Mandana Nourbakhsh, Abdalsamad Keramatfar, Maral Asiaee, Seyed Shahab Atashi, Amir Vahedian-Azimi
Publikováno v:
The Journal of the Acoustical Society of America
This study aimed to develop an artificial intelligence (AI)-based tool for screening COVID-19 patients based on the acoustic parameters of their voices. Twenty-five acoustic parameters were extracted from voice samples of 203 COVID-19 patients and 17
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86c73b2f728556af517d485f89803ca2
https://doi.org/10.1121/10.0006104
https://doi.org/10.1121/10.0006104
Publikováno v:
Journal of Information Science. 49:133-144
Real-time messaging and opinion sharing in social media websites have made them valuable sources of different kinds of information. This source provides the opportunity for doing different kinds of analysis. Sentiment analysis as one of the most impo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f16074ab76236d2b33aa13d78bb25e40
https://doi.org/10.1177/0165551521990617
https://doi.org/10.1177/0165551521990617