Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Pooya Moradian Zadeh"'
Autor:
Kathryn Pfaff, Heather Krohn, Jamie Crawley, Michelle Howard, Pooya Moradian Zadeh, Felicia Varacalli, Padma Ravi, Deborah Sattler
Publikováno v:
BMC Public Health, Vol 21, Iss 1, Pp 1-10 (2021)
Abstract Background Vulnerable persons are individuals whose life situations create or exacerbate vulnerabilities, such as low income, housing insecurity and social isolation. Vulnerable people often receive a patchwork of health and social care serv
Externí odkaz:
https://doaj.org/article/1ec54c4656054becb657f8c7b47462a1
Publikováno v:
Procedia Computer Science. 201:375-382
Publikováno v:
2022 The 3rd European Symposium on Software Engineering.
Publikováno v:
2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid).
Publikováno v:
EUSPN/ICTH
Procedia Computer Science
Procedia Computer Science
The novel COVID-19 is one of the most serious health pandemics in our time According to the World Health Organization (WHO), it has been spread over more than 150 countries and territories worldwide with thousands of deaths In this research, we propo
Autor:
Sarvnaz Sadeghi, Pooya Moradian Zadeh
Publikováno v:
Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.
Autor:
Simranpreet Kaur, Pooya Moradian Zadeh
Publikováno v:
2021 IEEE Symposium on Computers and Communications (ISCC).
Autor:
Dominique L. Baillargeon, Pooya Moradian Zadeh, Hanan Benabdalla, Mackenzie C. R. McAlpine, Bethany C. Brydges
Publikováno v:
Undergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal. 3:1-5
This paper explores the ability of artificial intelligence (AI) to detect or interpret emotions from information provided in the form of text. The study utilizes surveys (profiles) of 10 participants receiving palliative care. The profiles are analyz
Publikováno v:
Undergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal. 3:1-5
This project develops a prototype of data management system for Palliative care systems. The current demo focus on demonstrating how their questionnaires can be conducted, stored and analyzed in a single website using latest NodeJS and MongoDB techno
Publikováno v:
ANT/EDI40
We study the problem of identifying a team of experts in a social network. In this problem, each individual (i.e., expert) posses a set of skills based on its past experience or training. Experts form a social network based on their past collaboratio