Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Yuting Lyu"'
Publikováno v:
IEEE Transactions on Automation Science and Engineering. :1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::690aefc6fc090b34ad5ecb803ec66965
https://doi.org/10.1109/tase.2023.3253285
https://doi.org/10.1109/tase.2023.3253285
Publikováno v:
Environmental Science: Processes & Impacts. 25:461-471
This work highlights how the pH of the atmospheric aqueous phase can influence the degradation of carboxylic acids during nitrate-mediated photooxidation.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df88488df2288dd14384bddeeba33bd0
https://doi.org/10.1039/d2em00458e
https://doi.org/10.1039/d2em00458e
Publikováno v:
Coloration Technology. 139:223-238
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2bb4e384e9fe9521771b2ea320b4ea75
https://doi.org/10.1111/cote.12644
https://doi.org/10.1111/cote.12644
Publikováno v:
eISSN
Photooxidants drive many atmospheric chemical processes. The photoexcitation of light-absorbing organic compounds (i.e., brown carbon (BrC)) in atmospheric waters can lead to the generation of reactive organic triplet excited states (3C∗), which ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b49f910aee7762483ad8e49047624ee3
Publikováno v:
2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca0a8ae1acd47a67cde981352903b1aa
https://doi.org/10.1109/safeprocess52771.2021.9693664
https://doi.org/10.1109/safeprocess52771.2021.9693664
Publikováno v:
2021 3rd International Conference on Industrial Artificial Intelligence (IAI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d03e8d79a502b97736ee891a64c653a
https://doi.org/10.1109/iai53119.2021.9619245
https://doi.org/10.1109/iai53119.2021.9619245
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 189:8-17
With the advances in optical sensing and image capture systems, process images offer new perspectives to process monitoring. Compared to the process data collected by traditional sensors at local regions, process images enhance data-driven process mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2688d1721bdc4d819fadbb49ab8bc46
https://doi.org/10.1016/j.chemolab.2019.03.008
https://doi.org/10.1016/j.chemolab.2019.03.008
Publikováno v:
The Canadian Journal of Chemical Engineering. 99
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cab6b59cd68122606599e0f3f928164c
https://doi.org/10.1002/cjce.24020
https://doi.org/10.1002/cjce.24020