Search alternatives:
generation algorithm » genetic algorithm (Expand Search), detection algorithm (Expand Search), encryption algorithm (Expand Search)
resource generation » resource conservation (Expand Search), force generation (Expand Search), resource extraction (Expand Search)
multiple resource » multiple sources (Expand Search), multiple research (Expand Search)
generation algorithm » genetic algorithm (Expand Search), detection algorithm (Expand Search), encryption algorithm (Expand Search)
resource generation » resource conservation (Expand Search), force generation (Expand Search), resource extraction (Expand Search)
multiple resource » multiple sources (Expand Search), multiple research (Expand Search)
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Power quality control algorithms for small scale power intergration systems
Published 2024“…Incorporating renewable energy sources is the sole method to establish an environmentally friendly power generation system. Integrating various energy resources at the distribution level is possible and helps to reduce transmission power losses. …”
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Lithology mapping data of the Beishan area in China
Published 2025“…Applying SG-3DSD-derived samples to multiple machine learning models revealed that (1) The Stacking ensemble model demonstrated superior lithological discrimination capability compared to conventional algorithms, achieving peak accuracy of 94.15% and mean F1-score of 93.87%; (2) Integrating topographic data (especially Elevation) enhanced lithological positioning accuracy by 4.43±1.13%; (3) PCA and BR transformations effectively enhanced lithological separability, particularly at lithological boundary zones; (4) While SG-3DSD enables efficient large-scale sample generation, it is advisable to avoid using excessively large training samples for regional-scale mapping. …”
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Statistical test results.
Published 2025“…By allowing flexible prioritization of construction duration, budget cost, and resource usage, the model generates a diverse solution set and provides multiple candidate optimization schemes. …”
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Parameter sensitivity experiment results.
Published 2025“…By allowing flexible prioritization of construction duration, budget cost, and resource usage, the model generates a diverse solution set and provides multiple candidate optimization schemes. …”
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Normalized convergence time.
Published 2025“…This paper proposes an artificial intelligence routing algorithm, combines the variational autoencoder (VAE) and the generative adversarial network model (GAN) to construct a VAE-GAN model to generate multiple sets of data to achieve data enhancement on the Internet of Body. …”
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VGR structure.
Published 2025“…This paper proposes an artificial intelligence routing algorithm, combines the variational autoencoder (VAE) and the generative adversarial network model (GAN) to construct a VAE-GAN model to generate multiple sets of data to achieve data enhancement on the Internet of Body. …”
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Comparison of normalized throughput and load.
Published 2025“…This paper proposes an artificial intelligence routing algorithm, combines the variational autoencoder (VAE) and the generative adversarial network model (GAN) to construct a VAE-GAN model to generate multiple sets of data to achieve data enhancement on the Internet of Body. …”
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Principle of transfer learning.
Published 2025“…This paper proposes an artificial intelligence routing algorithm, combines the variational autoencoder (VAE) and the generative adversarial network model (GAN) to construct a VAE-GAN model to generate multiple sets of data to achieve data enhancement on the Internet of Body. …”
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Body-connected routing scenario.
Published 2025“…This paper proposes an artificial intelligence routing algorithm, combines the variational autoencoder (VAE) and the generative adversarial network model (GAN) to construct a VAE-GAN model to generate multiple sets of data to achieve data enhancement on the Internet of Body. …”
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