Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Salimi, Nima"'
Autor:
Hussein, Aya, Ghignone, Leo, Nguyen, Tung, Salimi, Nima, Nguyen, Hung, Wang, Min, Abbass, Hussein A.
Swarm systems consist of large numbers of robots that collaborate autonomously. With an appropriate level of human control, swarm systems could be applied in a variety of contexts ranging from search-and-rescue situations to Cyber defence. The two de
Externí odkaz:
http://arxiv.org/abs/1803.03093
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2001 Mar . 98(6), 3513-3518.
Externí odkaz:
https://www.jstor.org/stable/3055266
Autor:
Salimi, Nima1 (AUTHOR) nsalimi@lji.org, Edwards, Lindy1 (AUTHOR), Foos, Gabriele1 (AUTHOR), Greenbaum, Jason A.1 (AUTHOR), Martini, Sheridan1 (AUTHOR), Reardon, Brian1 (AUTHOR), Shackelford, Deborah1 (AUTHOR), Vita, Randi1 (AUTHOR), Zalman, Leora1 (AUTHOR), Peters, Bjoern1,2 (AUTHOR), Sette, Alessandro1,2 (AUTHOR)
Publikováno v:
Immunology. Oct2020, Vol. 161 Issue 2, p139-147. 9p.
Autor:
SALIMI, Nima
EEG-based brain machine/computer interfaces (BMIs/BCIs) have a wide range of clinical and non-clinical applications. Mental workload (MW) classification, emotion recognition, motor imagery, seizure detection, and sleep stage scoring are among the act
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d144990e94a24802bbbc3d527e066c7
Autor:
Greenbaum, Jason A., Kotturi, Maya F., Kim, Yohan, Oseroff, Carla, Vaughan, Kerrie, Salimi, Nima, Vita, Randi, Ponomarenko, Julia, Scheuermann, Richard H., Sette, Alessandro, Peters, Bjoern
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2009 Dec 01. 106(48), 20365-20370.
Externí odkaz:
https://www.jstor.org/stable/25593380
Akademický článek
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Autor:
Salimi, Nima1 nimasalimi64@gmail.com, Zilany, Muhammad S. A.1
Publikováno v:
Journal & Proceedings of the Royal Society of New South Wales. 2017, Vol. 150 Issue 1, p9-15. 7p.
Autor:
Sidney John, Chan Russell K, de Castro Romulo, Ponomarenko Julia, Bourne Philip E, Bui Huynh-Hoa, Mokili John, Sathiamurthy Muthu, Grey Howard, Fleri Ward, Salimi Nima, Zarebski Laura, Vaughan Kerrie, Vita Randi, Wilson Stephen S, Stewart Scott, Way Scott, Peters Bjoern, Sette Alessandro
Publikováno v:
BMC Bioinformatics, Vol 7, Iss 1, p 341 (2006)
Abstract Background The Immune Epitope Database and Analysis Resource (IEDB) is dedicated to capturing, housing and analyzing complex immune epitope related data http://www.immuneepitope.org. Description To identify and extract relevant data from the
Externí odkaz:
https://doaj.org/article/1a034fcd1d7e40bea969124a1ae865aa
Publikováno v:
Journal of Immunology Research.
Easy access to a vast collection of experimental data on immune epitopes can greatly facilitate the development of therapeutics and vaccines. The Immune Epitope Database and Analysis Resource (IEDB) was developed to provide such a resource as a free
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=hindawi_publ::dc5b5f668ecfe1f5001adbea844ed18d
Publikováno v:
Immunology. Oct2012, Vol. 137 Issue 2, p117-123. 7p. 3 Charts, 2 Graphs.