Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Minghan Gao"'
Publikováno v:
ICT Express, Vol 9, Iss 6, Pp 1122-1127 (2023)
Reinforcement learning (RL) has been used in combination with cooperative caching to deal with growing traffic in mobile networks, but the performance of RL based caching policies depends heavily on network settings. This paper investigates the impac
Externí odkaz:
https://doaj.org/article/362bc17de1e3494c8b43f004fcff1fa9
Publikováno v:
Electronics Letters, Vol 59, Iss 1, Pp n/a-n/a (2023)
Abstract In this letter, the authors address the challenge in forecasting non‐stationary financial time series by proposing a meta‐learning based forecasting model equipped with a convolution neural network (CNN) predictor and a long short‐term
Externí odkaz:
https://doaj.org/article/1699febb628341598b8acfb25eec9093
Publikováno v:
Electronics Letters. 59
Publikováno v:
Neural Processing Letters.
Publikováno v:
2022 2nd International Conference on Consumer Electronics and Computer Engineering (ICCECE).
Autor:
Yifei Yu, Minghan Gao
Publikováno v:
Proceedings of the 2021 3rd International Conference on Economic Management and Cultural Industry (ICEMCI 2021).
Publikováno v:
Science of The Total Environment. 818:151764
The effects of liquid fraction of digestate (LFD) pretreatment on anaerobic digestion (AD) performance and microbial community characteristics were estimated. Prior to AD, LFD (LFDSM, LFDFW, and LFDWS) collected separately from three continuously sti
Publikováno v:
2018 International Conference on Power System Technology (POWERCON).
Modular superconducting magnetic energy storage (SMES) is designed to achieve a modular layout of SMES through advanced control technology to solve the problem of SMES capacity limitation. In this paper, self-adaptive state of charge(SOC) feedback co