Zobrazeno 1 - 3
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pro vyhledávání: '"Hsiang-Jui Wang"'
Autor:
Hsiang-Jui Wang, 王湘叡
96
In recent years, labeling sequential data arises in many fields. Conditional random fields are a popular model for solving this type of problems. Its Hessian matrix in a closed form is not easy to derive. This difficulty causes that optimizat
In recent years, labeling sequential data arises in many fields. Conditional random fields are a popular model for solving this type of problems. Its Hessian matrix in a closed form is not easy to derive. This difficulty causes that optimizat
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/68481133280783589228
Autor:
Paul J. Fraser, Isao Murata, Masanori Takeda, Ray F. Weiss, Hideaki Nakajima, Tomoo Nagahama, Geoffrey C. Toon, Jens Mühle, Hsiang Jui Wang, Paul B. Krummel, Isamu Morino
Publikováno v:
Atmospheric Measurement Techniques, Vol 14, Pp 5955-5976 (2021)
We have developed a procedure for retrieving atmospheric abundances of HFC-23 (CHF3) with a ground-based Fourier transform infrared (FTIR) spectrometer and analyzed the spectra observed at Rikubetsu, Japan (43.5∘ N, 143.8∘ E), and at Syowa Statio
Autor:
Masanori Takeda, Hideaki Nakajima, Isao Murata, Tomoo Nagahama, Isamu Morino, Geoffrey C. Toon, Ray F. Weiss, Jens Mühle, Paul B. Krummel, Paul J. Fraser, Hsiang-Jui Wang
We have developed a procedure for retrieving atmospheric abundances of HFC-23 (CHF3) with a ground-based Fourier transform infrared spectrometer (FTIR) and analysed the spectra observed at Rikubetsu, Japan (43.5° N, 143.8° E), and at Syowa Stat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2604aaced2b7d571043218d73225466d
https://amt.copernicus.org/preprints/amt-2020-505/
https://amt.copernicus.org/preprints/amt-2020-505/