Zobrazeno 1 - 10
of 58
pro vyhledávání: '"ssd model"'
Publikováno v:
Ecological Informatics, Vol 85, Iss , Pp 102913- (2025)
Uncrewed aerial vehicles (UAVs) have proven to be successful tools for ecological monitoring, providing excellent visual resolution and the ability to cover large areas with spatial accuracy. Artificial Intelligence has further improved the capabilit
Externí odkaz:
https://doaj.org/article/1c6991f70fc7465d9ab59bbc5d230ea6
Autor:
Chong Li, Hao Wang, Hongtao Shen, Peng Yang, Yi Wang, Qian Li, Chuan Li, Bing Li, Rongkun Guo, Ruiming Wang
Publikováno v:
PeerJ Computer Science, Vol 9, p e1581 (2023)
Currently, the calibration of electric energy meters often involves manual meter reading, dismantling inspection, or regular sampling inspection conducted by professionals. To improve work efficiency and verification accuracy, this research integrate
Externí odkaz:
https://doaj.org/article/117a5e52fb0b4178aff6eafe8067a2a9
Akademický článek
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Publikováno v:
Gong-kuang zidonghua, Vol 47, Iss 11, Pp 119-125 (2021)
In order to solve the problems of low precision, poor real-time performance and easy missing detection of small targets in the current deep learning-based coal and gangue target detection methods, the SSD model is improved by using lightweight networ
Externí odkaz:
https://doaj.org/article/e2188a46d287498e85b89b6d5f86db9a
Publikováno v:
矿业科学学报, Vol 6, Iss 1, Pp 100-108 (2021)
Aiming at the problems of low detection accuracy and low real-time performance in the detection and recognition of mine moving targets in foggy and low-illumination environment, a method based on deep convolutional neural network for intelligent dete
Externí odkaz:
https://doaj.org/article/c4515e048c384b8a9a451816ea3ac4f3
Autor:
Jiawei Zhang, Jianghong Shi, Hui Ge, Huanyu Tao, Wei Guo, Xiangyi Yu, Mengtao Zhang, Bin Li, Ruijie Xiao, Zonglin Xu, Xiaoyan Li
Publikováno v:
Ecotoxicology and Environmental Safety, Vol 236, Iss , Pp 113446- (2022)
The ecological risks of nonylphenol (NP) and tetrabromobisphenol A (TBBPA) have received continued attention owing to their large consumption, frequently detection, adverse effects on the reproductive fitness, and lack of risk assessment technical sy
Externí odkaz:
https://doaj.org/article/e4d0c02a8a964eb48dbab1e9e7eba0bc
Publikováno v:
IET Intelligent Transport Systems, Vol 14, Iss 11, Pp 1491-1496 (2020)
Accurate target recognition and location is one of the key technologies in the field of smart city application. In order to solve the problem of large pedestriain flow impact in crowded metro stations, a method of in‐depth learning detection based
Externí odkaz:
https://doaj.org/article/a5a67b4946bf42fc9f3d35e449715a43
Autor:
Hafiza Sundus Fatima, Imtiaz ul Hassan, Shehzad Hasan, Muhammad Khurram, Didier Stricker, Muhammad Zeshan Afzal
Publikováno v:
Applied Sciences, Vol 13, Iss 6, p 3997 (2023)
Weed management is becoming increasingly important for sustainable crop production. Weeds cause an average yield loss of 11.5% billion in Pakistan, which is more than PKR 65 billion per year. A real-time laser weeding robot can increase the crop’s
Externí odkaz:
https://doaj.org/article/434cb3034ac34d18b32d5e275127f441
Akademický článek
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Akademický článek
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