Zobrazeno 1 - 10
of 9 686
pro vyhledávání: '"So OW"'
Publikováno v:
International Journal of COPD, Vol Volume 18, Pp 2581-2617 (2023)
Ronald Chow,1 Olivia W So,1 James HB Im,2 Kenneth R Chapman,1 Ani Orchanian-Cheff,1 Andrea S Gershon,3 Robert Wu1 1University Health Network, University of Toronto, Toronto, ON, Canada; 2The Hospital for Sick Children, Toronto, ON, Canada; 3Sunnybroo
Externí odkaz:
https://doaj.org/article/688208daf3444ea295c772fab43faa08
Publikováno v:
International Journal of COPD, Vol Volume 18, Pp 2619-2621 (2023)
James HB Im,1 Ronald Chow,2 Olivia W So,2 Robert Wu,2 Andrea S Gershon3 1The Hospital for Sick Children, Toronto, ON, Canada; 2University Health Network, University of Toronto, Toronto, ON, Canada; 3Sunnybrook Health Sciences Centre, University of To
Externí odkaz:
https://doaj.org/article/9b4b54f612eb4367be2797e6a90bc882
Autor:
Yoo, Hyuk Jun, Kim, Nayeon, Lee, Heeseung, Kim, Daeho, Ow, Leslie Tiong Ching, Nam, Hyobin, Kim, Chansoo, Lee, Seung Yong, Lee, Kwan-Young, Kim, Donghun, Han, Sang Soo
The optimization of nanomaterial synthesis using numerous synthetic variables is considered to be extremely laborious task because the conventional combinatorial explorations are prohibitively expensive. In this work, we report an autonomous experime
Externí odkaz:
http://arxiv.org/abs/2309.00349
Autor:
Dai, Qiqi, Lee, Yee Hui, Sun, Hai-Han, Ow, Genevieve, Yusof, Mohamed Lokman Mohd, Yucel, Abdulkadir C.
The reconstruction of the 3D permittivity map from ground-penetrating radar (GPR) data is of great importance for mapping subsurface environments and inspecting underground structural integrity. Traditional iterative 3D reconstruction algorithms suff
Externí odkaz:
http://arxiv.org/abs/2305.05425
Autor:
Dai, Qiqi, Lee, Yee Hui, Sun, Hai-Han, Qian, Jiwei, Ow, Genevieve, Yusof, Mohamed Lokman Mohd, Yucel, Abdulkadir C.
The forward full-wave modeling of ground-penetrating radar (GPR) facilitates the understanding and interpretation of GPR data. Traditional forward solvers require excessive computational resources, especially when their repetitive executions are need
Externí odkaz:
http://arxiv.org/abs/2207.06527
Autor:
Tiong, Leslie Ching Ow, Yoo, Hyuk Jun, Kim, Na Yeon, Lee, Kwan-Young, Han, Sang Soo, Kim, Donghun
Although robot-based automation in chemistry laboratories can accelerate the material development process, surveillance-free environments may lead to dangerous accidents primarily due to machine control errors. Object detection techniques can play vi
Externí odkaz:
http://arxiv.org/abs/2206.07272
Recently, the transformer model has been successfully employed for the multi-view 3D reconstruction problem. However, challenges remain on designing an attention mechanism to explore the multiview features and exploit their relations for reinforcing
Externí odkaz:
http://arxiv.org/abs/2205.14575
Tree roots detection is a popular application of the Ground-penetrating radar (GPR). Normally, the ground surface above the tree roots is assumed to be flat, and standard processing methods based on hyperbolic fitting are applied to the hyperbolae re
Externí odkaz:
http://arxiv.org/abs/2205.13731
Accurate predictions of the failure progression of structural materials is critical for preventing failure-induced accidents. Despite considerable mechanics modeling-based efforts, accurate prediction remains a challenging task in real-world environm
Externí odkaz:
http://arxiv.org/abs/2205.09075
Autor:
Sun, Hai-Han, Lee, Yee Hui, Luo, Wenhao, Ow, Lai Fern, Yusof, Mohamed Lokman Mohd, Yucel, Abdulkadir C.
Detecting a shallowly buried and elongated object and estimating its orientation using a commonly adopted co-polarized GPR system is challenging due to the presence of strong ground clutter that masks the target reflection. A cross-polarized configur
Externí odkaz:
http://arxiv.org/abs/2205.08142