Search alternatives:
generation algorithm » genetic algorithm (Expand Search), detection algorithm (Expand Search), encryption algorithm (Expand Search)
causes generation » case generation (Expand Search), cause penetration (Expand Search), carrier generation (Expand Search)
multiple causes » multiple cases (Expand Search), multiple cancers (Expand Search), multiple cancer (Expand Search)
generation algorithm » genetic algorithm (Expand Search), detection algorithm (Expand Search), encryption algorithm (Expand Search)
causes generation » case generation (Expand Search), cause penetration (Expand Search), carrier generation (Expand Search)
multiple causes » multiple cases (Expand Search), multiple cancers (Expand Search), multiple cancer (Expand Search)
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Power quality control algorithms for small scale power intergration systems
Published 2024“…A right shunt UPQC has been proposed as a combination of the two devices connected back-to-back through the DC link side for voltage and current multiple power quality issues. Optimisation of effective compensation for the CPDs depends on the proper selection of control algorithms for the gate switching of the Voltage Source Converters (VSCs) used. …”
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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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SupplimentaryCompressed (zipped) Folder.
Published 2025“…<div><p>Rice yellow stem borer, <i>Scirpophaga incertulas</i> (Walker) (Lepidoptera: Crambidae) is a serious pest, that causes significant yield loss (10-40%) to rice crop in India and other parts of the world. …”
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Test omission rate and predicted area.
Published 2025“…<div><p>Rice yellow stem borer, <i>Scirpophaga incertulas</i> (Walker) (Lepidoptera: Crambidae) is a serious pest, that causes significant yield loss (10-40%) to rice crop in India and other parts of the world. …”
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Bioclimatic variables used for the study.
Published 2025“…<div><p>Rice yellow stem borer, <i>Scirpophaga incertulas</i> (Walker) (Lepidoptera: Crambidae) is a serious pest, that causes significant yield loss (10-40%) to rice crop in India and other parts of the world. …”
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Occurrence records of <i>S. incertulas</i> in the world.
Published 2025“…<div><p>Rice yellow stem borer, <i>Scirpophaga incertulas</i> (Walker) (Lepidoptera: Crambidae) is a serious pest, that causes significant yield loss (10-40%) to rice crop in India and other parts of the world. …”
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