ADORN
发表于 2025-3-26 23:39:45
https://doi.org/10.1007/978-3-322-84007-3er proposes a nonlinear time-varying weak signal enhancement method based on particle filter. Collect nonlinear time-varying weak signals, extract nonlinear time-varying diffusion coefficients using particle filter, simulate the real distributed sampling process, build an adaptive neural network mod
Euphonious
发表于 2025-3-27 05:05:40
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Ordnance
发表于 2025-3-27 08:05:04
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恩惠
发表于 2025-3-27 12:34:03
Betriebliche Produktionsfaktoren,nt will lead to large data transmission loss and low data acquisition efficiency. In order to reduce the data transmission loss and improve the efficiency of data acquisition, the sports event data acquisition method based on BP neural network and wireless sensor technology will be studied. After bu
nullify
发表于 2025-3-27 15:00:45
Betriebliche Produktionsfaktoren, this paper puts forward a recommendation method of ideological and political mobile teaching resources based on deep reinforcement learning. Firstly, based on the theory of deep reinforcement learning, the recommendation model of ideological and political mobile teaching resources is constructed, a
额外的事
发表于 2025-3-27 20:47:01
https://doi.org/10.1007/978-3-031-28867-8artificial intelligence; Informatics; communication systems; computer hardware; computer networks; comput
biopsy
发表于 2025-3-27 23:20:56
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绝缘
发表于 2025-3-28 05:53:11
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engihttp://image.papertrans.cn/a/image/145657.jpg
内部
发表于 2025-3-28 06:54:20
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流逝
发表于 2025-3-28 12:52:16
https://doi.org/10.1007/978-3-322-97625-3urces are divided, and the steps of dynamic integration of economic teaching resources are simplified. Finally, experiments show that this method has high practicability in the process of practical application.