Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Zhengang Zhai"'
Publikováno v:
Nanoscale Research Letters, Vol 16, Iss 1, Pp 1-9 (2021)
Abstract Monolayer transition metal dichalcogenides (TMDs) show promising potential for next-generation optoelectronics due to excellent light capturing and photodetection capabilities. Photodetectors, as important components of sensing, imaging and
Externí odkaz:
https://doaj.org/article/7529ca0422c2475d84d0947a89d50789
Publikováno v:
IEEE Photonics Journal, Vol 10, Iss 6, Pp 1-12 (2018)
This study presents a rapid and low-cost method to detect thyroid dysfunction using serum Raman spectroscopy combined with support vector machine (SVM). The serum samples taken from 34 thyroid dysfunction patients and 40 healthy volunteers were measu
Externí odkaz:
https://doaj.org/article/11f6d0ece3c740769523f0100adf7ea2
Publikováno v:
Environmental Science: Water Research & Technology. 9:890-899
This study explores the potential of sustainable and precise management based on machine learning in real-world urban engineering applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f42c749fd32ce25c39ec69a087f9992d
https://doi.org/10.1039/d2ew00560c
https://doi.org/10.1039/d2ew00560c
Autor:
Feng, Zhiqiang Xie, Fengshan Jiang, Jiarui Xu, Zhengang Zhai, Jianglong He, Daoyang Zheng, Junyu Lian, Zhiqun Hou, Lei Zhao, Yanxia Wang, Yuyun
Publikováno v:
Sustainability; Volume 15; Issue 13; Pages: 10067
In recent years, there have been frequent disasters and accidents in the underground pipeline system of Chinese cities, posing a continuous threat to the safety of life and property of the public and the order of urban operations. This article uses s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::4fbf7e347ddd83ce0df7cb96e887dcfe
Publikováno v:
Environmental Science: Water Research & Technology.
Correction for ‘Exploring potential dual-stage attention based recurrent neural network machine learning application for dosage prediction in intelligent municipal management’ by Xusheng Fang et al., Environ. Sci.: Water Res. Technol., 2023, 9, 8
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1479052643da21a89dfe179f3b4ffc5
https://doi.org/10.1039/d3ew90018e
https://doi.org/10.1039/d3ew90018e
Publikováno v:
2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6718e5a984d6927c5a12fe31da14f50
https://doi.org/10.1109/iaeac54830.2022.9930040
https://doi.org/10.1109/iaeac54830.2022.9930040
Publikováno v:
Nanoscale Research Letters, Vol 16, Iss 1, Pp 1-9 (2021)
Nanoscale Research Letters
Nanoscale Research Letters
Monolayer transition metal dichalcogenides (TMDs) show promising potential for next-generation optoelectronics due to excellent light capturing and photodetection capabilities. Photodetectors, as important components of sensing, imaging and communica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::988ced23f7e24f1c72ed0adbee87d3ef
https://doaj.org/article/7529ca0422c2475d84d0947a89d50789
https://doaj.org/article/7529ca0422c2475d84d0947a89d50789
Publikováno v:
2022 7th International Conference on Computational Intelligence and Applications (ICCIA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2d780329fe7187113eb93a096a01d75
https://doi.org/10.1109/iccia55271.2022.9828409
https://doi.org/10.1109/iccia55271.2022.9828409
Publikováno v:
International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9aae2840b322f9a10aa0dcc674bd27d0
https://doi.org/10.1117/12.2635715
https://doi.org/10.1117/12.2635715
Publikováno v:
2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ca547483f8cba7508930c0fba952714
https://doi.org/10.1109/itoec53115.2022.9734440
https://doi.org/10.1109/itoec53115.2022.9734440