Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Zhongqin Bi"'
Publikováno v:
IEEE Access, Vol 12, Pp 163924-163937 (2024)
At present, research on the combination of quantum computing and artificial intelligence algorithms applied to the fault location of distribution networks is very sufficient. Because this type of algorithm usually uses the switching function in logic
Externí odkaz:
https://doaj.org/article/5af1db03309945149d01540310cf1f42
Publikováno v:
IEEE Access, Vol 11, Pp 38157-38167 (2023)
The detection of abnormal targets in transmission lines plays a significant role in maintaining the stability and safety of transmission systems. To achieve improved detection performance for abnormal targets, we propose a new target detector based o
Externí odkaz:
https://doaj.org/article/29f553e17bd14622bec47a03ea4262da
Publikováno v:
IEEE Access, Vol 8, Pp 159039-159049 (2020)
Knowledge base completion (KBC) aims to predict missing information in a knowledge base. Most existing embedding-based KBC models assume that all test entities are available at training time. Thus, a question arises-that is, how to answer queries con
Externí odkaz:
https://doaj.org/article/fede55c767c147228d27169a3fdf1e80
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 9 (2013)
With the distributed sensors that are deployed to monitor the urban environment in smart cities, the sensed data are overwhelming and beyond the scope of the wireless sensor networks (WSNs) capability. Due to the communication range limits of the sen
Externí odkaz:
https://doaj.org/article/af7a42310ea74fe2a56e57650b41dbee
Publikováno v:
CMES-Computer Modeling in Engineering & Sciences; 2024, Vol. 139 Issue 2, p2095-2115, 21p
Autor:
Zhongqin Bi Zhongqin Bi, Qiancong Wu Zhongqin Bi, Meijing Shan Qiancong Wu, Wei Zhong Meijing Shan
Publikováno v:
網際網路技術學刊. 23:1405-1416
With the advent of the Industrial 4.0 era, deep learning has been continuously applied to the task of surface defect detection, and effective progress has been made. However, the limited number of training samples and high labelling costs are conside
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88b341e10dd7281a1bac0a1e3d8825a2
https://doi.org/10.53106/160792642022112306022
https://doi.org/10.53106/160792642022112306022
Publikováno v:
Computer Modeling in Engineering & Sciences. 128:403-426
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::919785b8c22809d38cc33b7817418c4e
https://doi.org/10.32604/cmes.2021.016729
https://doi.org/10.32604/cmes.2021.016729
Publikováno v:
International Journal of Machine Learning and Cybernetics. 12:3069-3080
The rapid development and application of AI in intelligent transportation systems has widely impacted daily life. The application of an intelligent visual aid for traffic sign information recognition can provide assistance and even control vehicles t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2596e7d40596f5b431e99f1da1f1afb2
https://doi.org/10.1007/s13042-020-01185-5
https://doi.org/10.1007/s13042-020-01185-5
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications. 16:1-19
Understanding temporal dependencies of videos is fundamental for vision problems, but deep learning–based models are still insufficient in this field. In this article, we propose a novel deep multiplicative neural network (DMNN) for learning hierar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2bc88a3c32a5fce0818ab20fc740120
https://doi.org/10.1145/3357797
https://doi.org/10.1145/3357797