Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Xiaomeng Geng"'
Autor:
Xiaoyue Hou, Mengjiao Li, Chengjuan Mao, Lei Jiang, Wen Zhang, Mengying Li, Xiaomeng Geng, Xin Li, Shu Liu, Guang Yang, Jing Zhou, Yaowei Fang, Jun Cai
Publikováno v:
Toxins, Vol 16, Iss 1, p 23 (2024)
Vip3Aa, secreted by Bacillus thuringiensis, is effective at controlling major agricultural pests such as Spodoptera frugiperda. However, to control Vip3Aa resistance evolved in the field by different lepidoptera species, an in–depth study of sequen
Externí odkaz:
https://doaj.org/article/a7c248105dc047dba2ea573a07d79597
Publikováno v:
Remote Sensing, Vol 13, Iss 17, p 3400 (2021)
Marine ship detection by synthetic aperture radar (SAR) is an important remote sensing technology. The rapid development of big data and artificial intelligence technology has facilitated the wide use of deep learning methods in SAR imagery for ship
Externí odkaz:
https://doaj.org/article/6818c301939d44f8b9bf7d3542fc4596
Publikováno v:
Remote Sensing, Vol 13, Iss 6, p 1184 (2021)
Synthetic aperture radar (SAR) is a significant application in maritime monitoring, which can provide SAR data throughout the day and in all weather conditions. With the development of artificial intelligence and big data technologies, the data-drive
Externí odkaz:
https://doaj.org/article/806a2de7527044dd88f4181b50e926e8
Autor:
Carsten Kuring, Mihaela Wolf, Xiaomeng Geng, Oliver Hilt, Jan Bocker, Joachim Wurfl, Sibylle Dieckerhoff
Publikováno v:
IEEE Transactions on Power Electronics. 37:11896-11910
Publikováno v:
Journal of Applied Remote Sensing. 16
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Publikováno v:
2021 23rd European Conference on Power Electronics and Applications (EPE'21 ECCE Europe).
Publikováno v:
Remote Sensing, Vol 13, Iss 1184, p 1184 (2021)
Remote Sensing
Volume 13
Issue 6
Pages: 1184
Remote Sensing
Volume 13
Issue 6
Pages: 1184
Synthetic aperture radar (SAR) is a significant application in maritime monitoring, which can provide SAR data throughout the day and in all weather conditions. With the development of artificial intelligence and big data technologies, the data-drive
Publikováno v:
Journal of Environmental Management. 306:114462
The efficient classification and resource conversion of landfilled refuse can simultaneously realize the secondary pollution prevention and land replacement. This work aimed to investigate the waste plastic resource recovery from landfilled refuse vi
Publikováno v:
Journal of Physics: Conference Series. 2026:012024