Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Siamak Aram"'
Autor:
Denis Kornev, Stanley Nwoji, Roozbeh Sadeghian, Saeed Esmaili Sardari, Hadis Dashtestani, Qinghua He, Amir Gandjbakhche, Siamak Aram
Publikováno v:
Brain and Behavior, Vol 12, Iss 4, Pp n/a-n/a (2022)
Abstract Introduction The current study investigates the utilization and performance of machine learning (ML) algorithms in the cognitive task of finding the correlation between numerical parameters of the human brain activation during gaming. We hyp
Externí odkaz:
https://doaj.org/article/ca028aab2890412caf7f6dda425d44bc
Autor:
Siamak Aram, Lauren Levy, Jigar B. Patel, Afrouz A. Anderson, Rachel Zaragoza, Hadis Dashtestani, Fatima A. Chowdhry, Amir Gandjbakhche, J. Kathleen Tracy
Publikováno v:
SAGE Open, Vol 9 (2019)
The Iowa Gambling Task (IGT) provides a framework to evaluate an individual decision-making process through a simulated card game where the risks and rewards vary by the decks chosen. Participants are expected to understand the logic behind the alloc
Externí odkaz:
https://doaj.org/article/a9b9fcdc6a7c449586933b5384afa3a9
Publikováno v:
Journal of Internet Services and Information Security, Vol 6, Iss 3, Pp 40-60 (2016)
The industry of implantable medical devices (IMDs) is constantly evolving, which is dictated by the pressing need to comprehensively address new challenges in the healthcare field. Accordingly, IMDs are becoming more and more sophisticated. Not long
Externí odkaz:
https://doaj.org/article/8ffd50a3f35f460d9a5932bd448f06da
Autor:
Afrouz A Anderson, Kian Parsa, Sydney Geiger, Rachel Zaragoza, Riley Kermanian, Helga Miguel, Hadis Dashtestani, Fatima A Chowdhry, Elizabeth Smith, Siamak Aram, Amir H Gandjbakhche
Publikováno v:
PLoS ONE, Vol 13, Iss 6, p e0198257 (2018)
Existing literature outlines the quality and location of activation in the prefrontal cortex (PFC) during working memory (WM) tasks. However, the effects of individual differences on the underlying neural process of WM tasks are still unclear. In thi
Externí odkaz:
https://doaj.org/article/e3afc7a38e3c467f8d7d8be0c9c1a667
Publikováno v:
Neuroergonomics and Cognitive Engineering.
Brain disorders caused by Gaming Addiction drastically increased due to the rise of Internet users and Internet Gaming auditory. Driven by such a tendency, in 2018, World Health Organization (WHO) and the American Medical Association (AMA) addressed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::934b9c5ddc22a2164e1d022ee8bc89a7
https://doi.org/10.54941/ahfe1001826
https://doi.org/10.54941/ahfe1001826
Publikováno v:
Advances in Computer Vision and Computational Biology ISBN: 9783030710507
The pursuit in similar image detection is constantly increasing in the computer vision field. This is even more prominent in the medical imaging field. Medical image sets such as cancerous pigmented skin lesions have a long tendency of including imag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cebddd7ff6fc68641153cab83d33d25b
https://doi.org/10.1007/978-3-030-71051-4_9
https://doi.org/10.1007/978-3-030-71051-4_9
Autor:
Siamak Aram, Roozbeh Sadeghian, Nikesh K. Pahuja, James Shallenberger, Joshua L. Ramirez Paulino, Michael Meyer, Maria H. Rivero
Publikováno v:
Advances in Data Science and Information Engineering ISBN: 9783030717032
Streamlined access to data makes forecasting, monitoring, and timely action much easier for any organization. Whether in business, education, and even environmental protection, quick access to data defines the difference between achieving and not ach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70f6cf329997fd9f8474b050324d616b
https://doi.org/10.1007/978-3-030-71704-9_61
https://doi.org/10.1007/978-3-030-71704-9_61
Autor:
Roozbeh Sadeghian, Musarath Jahan Rahamathullah, Roli Srivastava, Siamak Aram, Nathaniel J. S. Ashby
Publikováno v:
Transactions on Computational Science and Computational Intelligence ISBN: 9783030702953
Skin cancer is the most commonly diagnosed cancer in the United States with over a million cases being detected each year. Fortunately, early detection provides high odds of recovery. The traditional method of detection involves clinical screening, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b3aa23d276b0284fbbd43f7613564cc
https://doi.org/10.1007/978-3-030-70296-0_12
https://doi.org/10.1007/978-3-030-70296-0_12
Publikováno v:
Advances in Computer Vision and Computational Biology ISBN: 9783030710507
The use of big data analytics tools and Machine Learning techniques in identifying and predicting opioid use disorder is a relatively new and emerging area. Previous studies analyzing trends in the opioid crisis have identified an increasingly expens
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e97d1009e4ea3862e6cc5e9170bd67e
https://doi.org/10.1007/978-3-030-71051-4_30
https://doi.org/10.1007/978-3-030-71051-4_30
Publikováno v:
2020 International Conference on Computational Science and Computational Intelligence (CSCI).
Steel concrete composite hollow section columns with circular cross-sections, i.e. concrete-filled steel tubes (CFST), have been a popular choice for column design due to their superior structural performance both under static gravity loads as well a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66547acca388effb5dfc5c1fda0f3017
https://doi.org/10.1109/csci51800.2020.00119
https://doi.org/10.1109/csci51800.2020.00119