Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Yize Tang"'
Publikováno v:
IEEE Access, Vol 12, Pp 163682-163697 (2024)
With the advent of Generative Adversarial Networks (GANs), significant progress has been made in facial aging prediction. However, existing methods still face considerable challenges. Many studies estimate the ages of individuals in images based on t
Externí odkaz:
https://doaj.org/article/f7fb8ced1c63466e828046c53b26a9bf
Autor:
Shukang Han, Yize Tang, Hongyan Wang, Yang Li, Hongbing Huang, Yuxiang Lv, Yehua Zhang, Xianfeng Tang
Publikováno v:
2023 8th Asia Conference on Power and Electrical Engineering (ACPEE).
Publikováno v:
International Conference on Mechatronics Engineering and Artificial Intelligence (MEAI 2022).
Publikováno v:
2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI).
Publikováno v:
2022 3rd Information Communication Technologies Conference (ICTC).
Short-Term Power Load Forecasting Using Lightweight Relational GRU Under Power Communication Network
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811969003
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::010ed53bedbb2e5e63fa043ec1420670
https://doi.org/10.1007/978-981-19-6901-0_45
https://doi.org/10.1007/978-981-19-6901-0_45
Publikováno v:
Proceedings of the 11th International Conference on Computer Engineering and Networks ISBN: 9789811665530
With the development of the power grid Internet of things (IoT), more and more sensor devices access the power grid network, putting a lot of pressure on cloud servers. As an effective solution, edge computing can effectively reduce the possibility o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29d2fb0cb28217789f3820168d34053d
https://doi.org/10.1007/978-981-16-6554-7_39
https://doi.org/10.1007/978-981-16-6554-7_39
Autor:
Bo Yan, Mao Xiuwei, Chan Zhou, Liu Chenyang, Qinglin Wu, Yize Tang, Kong Wenjie, Jia Li, Pengcheng Ni
Publikováno v:
ICOSM 2020: Optoelectronic Science and Materials.
Galloping is one of the important factors leading to unplanned outage of overhead transmission lines, which threatens the safe operation of transmission lines and is very necessary for galloping monitoring of overhead transmission lines. In this pape
Publikováno v:
International Journal of Information and Communication Technology. 20:83
Autor:
Yize Tang, Shenshen Gu
Publikováno v:
2019 11th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC).
Deep neural network is an important and effective approach to discover patterns inside data. Most existing neural networks, like deep neural network and convolutional neural network, have a fixed network connection among neurons. This will cause over