Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Dara Rahmati"'
Autor:
Mehdi Yousefzadeh, Parsa Esfahanian, Seyed Mohammad Sadegh Movahed, Saeid Gorgin, Dara Rahmati, Atefeh Abedini, Seyed Alireza Nadji, Sara Haseli, Mehrdad Bakhshayesh Karam, Arda Kiani, Meisam Hoseinyazdi, Jafar Roshandel, Reza Lashgari
Publikováno v:
PLoS ONE, Vol 16, Iss 5, p e0250952 (2021)
The development of medical assisting tools based on artificial intelligence advances is essential in the global fight against COVID-19 outbreak and the future of medical systems. In this study, we introduce ai-corona, a radiologist-assistant deep lea
Externí odkaz:
https://doaj.org/article/f9e22fccb33a4e7d9572dea87cee99ed
Autor:
Mehdi Yousefzadeh, Parsa Esfahanian, Seyed Mohammad Sadegh Movahed, Saeid Gorgin, Dara Rahmati, Atefeh Abedini, Seyed Alireza Nadji, Sara Haseli, Mehrdad Bakhshayesh Karam, Arda Kiani, Meisam Hoseinyazdi, Jafar Roshandel, Reza Lashgari
Publikováno v:
PLoS ONE, Vol 16, Iss 9, p e0257119 (2021)
[This corrects the article DOI: 10.1371/journal.pone.0250952.].
Externí odkaz:
https://doaj.org/article/bac6ab1d63c6490c95473fe8be144ade
Publikováno v:
Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines ISBN: 9789811965524
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aceaf20f9d5b1c7c9c91a29ad7aa2ff8
https://doi.org/10.1007/978-981-19-6553-1_11
https://doi.org/10.1007/978-981-19-6553-1_11
Autor:
Saeid Gorgin, Ahmad Khonsari, M. H. Gholamrezaei, Reza Hojabr, Dara Rahmati, Kamyar Givaki, M. Hassan Najafi
Publikováno v:
IEEE Design & Test. 38:60-68
Stochastic Computing (SC) is a re-emerging computing paradigm with a great potential to surpass conventional binary implementations in term of hardware cost. The inaccuracy of computations is an important challenge with conventional SC designs. Recen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ef8c30d6e58dc7ea6148d9eb325978b
https://doi.org/10.1109/mdat.2021.3051848
https://doi.org/10.1109/mdat.2021.3051848
Publikováno v:
Integration. 81:331-341
Multiple Supply Voltage (MSV) is a known design technique to deal with the power and thermal issues of Multi Processor System on Chips (MPSoCs). In this paper, an MSV driven synthesis flow is proposed in four phases for the design of application-spec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc2afa7395fb5301245c42ce63da8e5b
https://doi.org/10.1016/j.vlsi.2021.08.005
https://doi.org/10.1016/j.vlsi.2021.08.005
Publikováno v:
2022 12th International Conference on Computer and Knowledge Engineering (ICCKE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c316bab3bc90195012743ff247e4b08e
https://doi.org/10.1109/iccke57176.2022.9959984
https://doi.org/10.1109/iccke57176.2022.9959984
Autor:
Mohammadreza Daneshvaramoli, Mohammad Sina Kiarostami, Saleh Khalaj Monfared, Helia karisani, Aku Visuri, Simo Hosio, Dara Rahmati, Saeid Gorgin
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783030980146
In this work, first, we model the non-overlapping Multi-Agent Pathfinding (MAPF) to an NP-complete traditional puzzle called Numberlink puzzle owing to its features. Interestingly, this puzzle is reasonably shown to be analogous to the Flow Free game
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f24459ee86f485d61c0884003f2a47f5
http://urn.fi/urn:nbn:fi-fe2022060844853
http://urn.fi/urn:nbn:fi-fe2022060844853
Autor:
Mohammad Sina Karvandi, Saleh Khalaj Monfared, Mohammad Sina Kiarostami, Dara Rahmati, Saeid Gorgin
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031020667
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be1e26eb835f337dc83cb0b1a05c824a
https://doi.org/10.1007/978-3-031-02067-4_3
https://doi.org/10.1007/978-3-031-02067-4_3
Autor:
S. M. S. Movahed, Jafar Roshandel, Reza Lashgari, Seyed Alireza Nadji, Mehrdad Bakhshayesh Karam, Dara Rahmati, Saeid Gorgin, Meisam Hoseinyazdi, Arda Kiani, Mehdi Yousefzadeh, Atefeh Abedini, Sara Haseli, Parsa Esfahanian
Publikováno v:
PLoS ONE
PLoS ONE, Vol 16, Iss 5, p e0250952 (2021)
PLoS ONE, Vol 16, Iss 5, p e0250952 (2021)
The development of medical assisting tools based on artificial intelligence advances is essential in the global fight against COVID-19 outbreak and the future of medical systems. In this study, we introduceai-corona, a radiologist-assistant deep lear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2a1391a9cd2b7a838f12b42026fed93
http://europepmc.org/articles/PMC8104381
http://europepmc.org/articles/PMC8104381
Autor:
Ehsan Futuhi, Mohammad Sina Kiarostami, Dara Rahmati, Saeid Gorgin, Saleh Khalaj Monfared, Hamed Khashehchi, Aku Visuri, Simo Hosio, Mohammadreza Daneshvaramoli, Helia Karisani
Solving puzzles has become increasingly important in artificial intelligence research since the solutions could be directly applied to real-world or general problems such as pathfinding, path planning, and exploration problems. Selecting the best app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c76bcbc55e70e0367877f4c352eb9f8
http://urn.fi/urn:nbn:fi-fe2022022520848
http://urn.fi/urn:nbn:fi-fe2022022520848