Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ruiyang Shi"'
Publikováno v:
IEEE Photonics Journal, Vol 14, Iss 4, Pp 1-8 (2022)
Deep neural networks have been successfully applied to forward predicting optical response and inverse designing topological structure of nanophotonic devices. However, the existing deep learning based methods need sufficient simulated data to train
Externí odkaz:
https://doaj.org/article/ae39453895f34dd6a8aab16a491413fd
Publikováno v:
Open Journal of Social Sciences. 11:132-142
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f5224417e603a1411e4eb100f66cb8f
https://doi.org/10.4236/jss.2023.111012
https://doi.org/10.4236/jss.2023.111012
Publikováno v:
Fuel. 349:128751
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cf145e66dd39752990d11dd59663059
https://doi.org/10.1016/j.fuel.2023.128751
https://doi.org/10.1016/j.fuel.2023.128751
Autor:
Yasaman Damestani, Ruiyang Shi, Kai Li, Patrice Melikian, Shelley Haybeck, Gregory Mundy, Gursharan Gill, Shijie Tang, Eric Sbar, Tracey Duncan, Sharon Tamir, Eran Shacham, Jatin J. Shah, Sharon Shacham, Patrick Y. Wen, Erin Dunbar, Priya Kumthekar, Howard Colman, Robert Aiken, Nicholas A. Butowski
Publikováno v:
Journal of Clinical Oncology. 40:2045-2045
2045 Background: Glioblastoma (GBM) is an aggressive primary tumor with poor prognosis and survival. Patients (pts) experience debilitating symptoms that have a negative effect on quality of life (QoL). A multidisciplinary approach is necessary to fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf0f9a2c67258834d962d4814f65efc1
https://doi.org/10.1200/jco.2022.40.16_suppl.2045
https://doi.org/10.1200/jco.2022.40.16_suppl.2045
Publikováno v:
International Conference on Optoelectronic and Microelectronic Technology and Application.
Inverse design is one of the most important design methods of nanophotonic devices. In recent years, with the rapid development of deep learning technique and applications, deep learning assisted inverse design method has been introduced into the fie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80a4e4197644e433b58e9855cc4daf41
https://doi.org/10.1117/12.2585385
https://doi.org/10.1117/12.2585385
Publikováno v:
Pattern Recognition. 124:108486
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76a53257ab420b1d44acf3ffc55ab853
https://doi.org/10.1016/j.patcog.2021.108486
https://doi.org/10.1016/j.patcog.2021.108486
Publikováno v:
Journal of Terramechanics. 60:11-22
Simulations of the bearing capacity and shear strength of regolith under Earth’s gravity produce different results from those under low gravity. A low-gravity simulation device was developed in this study, and an internal stress model of regolith s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6db18078ae4c3ea5259c8ded40bd70a7
https://doi.org/10.1016/j.jterra.2015.04.003
https://doi.org/10.1016/j.jterra.2015.04.003
Publikováno v:
Journal of Bionic Engineering. 10:305-315
Despite the many studies on eight-legged animals and the importance of their mechanics of terrestrial locomotion, the mechanical energy of crabs in voluntary locomotion on uneven, unpredictable terrain surfaces has received little attention thus far.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30b0d54af36d8154e19db6911a251fd6
https://doi.org/10.1016/s1672-6529(13)60226-7
https://doi.org/10.1016/s1672-6529(13)60226-7