Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Ming Chuan Yang"'
Publikováno v:
IEEE Access, Vol 11, Pp 27401-27413 (2023)
We present MMNeRF, a simple yet powerful learning framework for highly photo-realistic novel view synthesis by learning Multi-modal and Multi-view features to guide neural radiance fields to a generic model. Novel view synthesis has achieved great im
Externí odkaz:
https://doaj.org/article/cc215861b78b4697a73005251cd042d3
Publikováno v:
IEEE Intelligent Systems. 38:36-45
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::629a42455c529cb3a0ab88038b5dcbd6
https://doi.org/10.1109/mis.2023.3236561
https://doi.org/10.1109/mis.2023.3236561
Autor:
Yan Cheng, Jin-xiu Lou, Ya-yun Liu, Chun-chun Liu, Jing Chen, Ming-chuan Yang, Yin-bo Ye, Yun Young Go, Bin Zhou
Publikováno v:
Journal of Virology. 97
Classical swine fever (CSF), caused by classical swine fever virus (CSFV), is a highly infectious disease that poses a significant threat to the global pig industry. Therefore, gaining insights into the virus and its interaction with host cells is cr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6cd015b3eb2c4c85ec5c99593ee5faa3
https://doi.org/10.1128/jvi.01770-22
https://doi.org/10.1128/jvi.01770-22
Autor:
Linyong Pang, Ezequiel Vidal Russell, Bo Su, Ming-Chuan Yang, Ryan Pearman, Michael Lee, Ali Bouaricha, Kechang Wang, Aki Fujimura, Bill Baggenstoss, P. Jeffrey Ungar, Jennefir L. Digaum
Publikováno v:
Journal of Micro/Nanopatterning, Materials, and Metrology. 20
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0637e388eb235c256745cae9a5092aba
https://doi.org/10.1117/1.jmm.20.4.041405
https://doi.org/10.1117/1.jmm.20.4.041405
Autor:
Linyong Pang, Lu Sha, Michael Pomerantsev, Ezequiel Vidal Russell, Ryan Pearman, Ali Bouaricha, Bo Su, Mike Meyer, Kechang Wang, Jennefir Ping Digaum, Mariusz Niewczas, Yang Lu, Ming-Chuan Yang, Michael Lee, Bill Baggenstoss, P. Jeffrey Ungar, Aki Fujimura
Publikováno v:
Photomask Technology 2020.
In advanced semiconductor memory manufacturing, mask and lithography are critical for patterning. In this paper we jointly study the benefits of a full-chip, curvilinear, stitchless inverse lithography technology (ILT) with mask-wafer cooptimization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ee10d415e2a027560f3cff2d34cebac
https://doi.org/10.1117/12.2579729
https://doi.org/10.1117/12.2579729
Autor:
Ryan Pearman, Bo Su, Ming-Chuan Yang, Ali Bouaricha, Aki Fujimura, P. Jeffrey Ungar, Kechang Wang, Ezequiel Vidal Russell, Bill Baggenstoss, Michael Lee, Jennefir L. Digaum, Linyong Pang
Publikováno v:
Photomask Technology 2019.
In advanced semiconductor memory manufacturing, mask and lithography are critical for patterning. In this paper we jointly study the benefits of a mask and wafer co-design that utilizes a new extreme single instruction multiple data (SIMD) approach t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::164859511bb7366139b6f0328e1fd276
https://doi.org/10.1117/12.2534629
https://doi.org/10.1117/12.2534629
Autor:
Ming-Chuan Yang, Meng Chang Chen
This work investigates the framework and performance issues of the composite neural network, which is composed of a collection of pre-trained and non-instantiated neural network models connected as a rooted directed acyclic graph for solving complica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::369265d291a655633add84e692045e8e
Autor:
Ming-Chuan Yang, Meng Chang Chen
Publikováno v:
IEEE BigData
This work investigates the efforts of composite neural network in PM2.5 prediction. A composite neural network is a combination of several pre-trained and non-instantiated neural networks and according to [1], under certain condition, it is almost gu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2217c52b70d530864b39307a6ff3531e
https://doi.org/10.1109/bigdata.2018.8622559
https://doi.org/10.1109/bigdata.2018.8622559
Publikováno v:
IEEE Wireless Communications. 23:95-101
This article introduces some basic theories of space information networking (SIN), which is a novel research field. A SIN is a network that is able to achieve real-time acquisition, transmission, and processing of space information. The article first
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e6ed8f5c612a6a53abc5340eec26cb0
https://doi.org/10.1109/mwc.2016.7422411
https://doi.org/10.1109/mwc.2016.7422411
Publikováno v:
China Communications. 12:35-44
This paper focuses on improving the detection performance of spectrum sensing in cognitive radio (CR) networks under complicated electromagnetic environment. Some existing fast spectrum sensing algorithms cannot get specific features of the licensed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec6ad06ec8ce5b7de6f977ffc8ffab26
https://doi.org/10.1109/cc.2015.7275257
https://doi.org/10.1109/cc.2015.7275257