Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Maryam Sorkhi"'
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-15 (2022)
Abstract Achieving an efficient and reliable method is essential to interpret a user’s brain wave and deliver an accurate response in biomedical signal processing. However, EEG patterns exhibit high variability across time and uncertainty due to no
Externí odkaz:
https://doaj.org/article/0c054a55e10142d7914686f31bf73940
Publikováno v:
International Journal of Modern Physics C. 34
Since EEG signals encode an individual’s intent of executing an action, scientists have extensively focused on this topic. Motor Imagery (MI) signals have been used by researchers to assistance disabled persons, for autonomous driving and even cont
Publikováno v:
Indian Journal of Fibre & Textile Research; Sep2020, Vol. 45 Issue 3, p352-358, 7p
Autor:
Maryam Sorkhi, Sattar Hashemi
Publikováno v:
AI Communications. 28:637-654
Publikováno v:
Journal of Computer Science and Technology. 27:577-590
The growth of social networks in modern information systems has enabled the collaboration of experts at a scale that was unseen before. Given a task and a graph of experts where each expert possesses some skills, we tend to find an effective team of
Publikováno v:
ICDM Workshops
In this paper, a novel approach for forming an effective expert team in social network is proposed by using of skill grading and minimum communication cost. In this work, first a framework is recommended to determine skill level of experts based on t
Autor:
Sorkhi, Maryam1 (AUTHOR), Jahed-Motlagh, Mohammad Reza1,2 (AUTHOR) jahedmr@iust.ac.ir, Minaei-Bidgoli, Behrouz1 (AUTHOR), Daliri, Mohammad Reza2 (AUTHOR)
Publikováno v:
Scientific Reports. 12/25/2022, Vol. 12 Issue 1, p1-15. 15p.
Autor:
JUÁREZ, JULIO1 jjuarez@cicese.edu.mx, SANTOS, CIPRIANO (PANO)2 santos@gurobi.com, BRIZUELA, CARLOS A.1 cbrizuel@cicese.mx
Publikováno v:
ACM Computing Surveys. Sep2022, Vol. 54 Issue 7, p1-33. 33p. 1 Illustration.
Publikováno v:
International Journal of Modern Physics C: Computational Physics & Physical Computation; Apr2023, Vol. 34 Issue 4, p1-20, 20p
Effective team formation in collaboration networks using vertex and proficiency similarity measures.
Autor:
Sorkhi, Maryam1 m.sorkhi.iust@gmail.com, Hashemi, Sattar1 s_hashemi@shirazu.ac.ir
Publikováno v:
AI Communications. 2015, Vol. 28 Issue 4, p637-654. 18p.