Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Qiaojun Yu"'
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Publikováno v:
Water, Vol 10, Iss 11, p 1566 (2018)
A method that uses the ultraviolet-visible (UV-Vis) spectrum to detect organic contamination events in water distribution systems exhibits the advantages of rapid detection, low cost, and no need for reagents. The speed, accuracy, and comprehensive a
Externí odkaz:
https://doaj.org/article/aa37ef27a96a4587ae70c1e155f45d18
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 191:168-174
The detection of contamination events in water distribution systems remains a major concern to public health. However, much of the contaminant detection methods are supervised learning which cannot adapt to the complex environment in practical applic
Publikováno v:
Sustainable Cities and Society. 69:102804
The emergence of COVID-19 pandemic is causing tremendous impact on our daily lives, including the way people interact with buildings. Leveraging the advances in machine learning and other supporting digital technologies, recent attempts have been sou
Publikováno v:
I2MTC
In recent years, issues surrounding water quality's security have attracted attention. The use of UV/VIS spectrum, for the in-situ detection of water-quality anomalies, has several advantages: it is free of reagent, has a low cost and facilitates rap
Publikováno v:
Water (20734441); Nov2018, Vol. 10 Issue 11, p1566, 1p