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effective implementation » effective prevention (Expand Search)
code representing » model representing (Expand Search), models representing (Expand Search), tpd representing (Expand Search)
python effective » proven effective (Expand Search), 1_the effective (Expand Search), 2_the effective (Expand Search)
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Data and code from: Hatchery-reared coho salmon develop less otolith deformities in tanks with alternating water flow directions
Published 2025“…</li><li>Measurements were generated by manually classifying otolith regions in Adobe Photoshop and calculating pixel coverage using a Python script.</li><li>Representative otolith images and details of the classification workflow are provided in the main manuscript figures and Methods section. …”
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Data and Code repository for the paper: <b>Visual loom caused by self- or object-movement elicits distinct responses in mouse superior colliculus</b>
Published 2025“…Binned rates were transformed into z-scores by normalizing to the mean and standard deviation of firing rate across all stimulus conditions.</p><h2>Code Description</h2><p dir="ltr">Shared code contains both MATLAB and Python functions used in the analysis provided in the study. …”
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Code and parameter package for long-term mapping and object-based typing of freeze–thaw colluvial deposits (1990–2024) along the Yunnan–Tibet corridor
Published 2025“…Tested with Python 3.x/ArcGIS Pro (ArcPy) and the GEE Code Editor. …”
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Memory monitoring recognition test workflow.
Published 2025“…</p><p>Method</p><p>The MMRT was developed using Python and Kivy, facilitating the creation of cross-platform user interfaces. …”
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Voice recognition workflow.
Published 2025“…</p><p>Method</p><p>The MMRT was developed using Python and Kivy, facilitating the creation of cross-platform user interfaces. …”
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Memory monitoring recognition test main screen.
Published 2025“…</p><p>Method</p><p>The MMRT was developed using Python and Kivy, facilitating the creation of cross-platform user interfaces. …”
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Task descriptions.
Published 2025“…</p><p>Method</p><p>The MMRT was developed using Python and Kivy, facilitating the creation of cross-platform user interfaces. …”
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Summary of Tourism Dataset.
Published 2025“…The model employs robust forecasting of economic impacts, visitor spending patterns, and behavior while accounting for uncertainty through variational inference. The implementation uses Python language on a tourism dataset comprising necessary attributes like visitor numbers, days, spending patterns, employment, international tourism samples over a specific region, and a diverse age group analyzed over a year. …”
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Segment-wise Spending Analysis.
Published 2025“…The model employs robust forecasting of economic impacts, visitor spending patterns, and behavior while accounting for uncertainty through variational inference. The implementation uses Python language on a tourism dataset comprising necessary attributes like visitor numbers, days, spending patterns, employment, international tourism samples over a specific region, and a diverse age group analyzed over a year. …”
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Hyperparameter Parameter Setting.
Published 2025“…The model employs robust forecasting of economic impacts, visitor spending patterns, and behavior while accounting for uncertainty through variational inference. The implementation uses Python language on a tourism dataset comprising necessary attributes like visitor numbers, days, spending patterns, employment, international tourism samples over a specific region, and a diverse age group analyzed over a year. …”
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Marketing Campaign Analysis.
Published 2025“…The model employs robust forecasting of economic impacts, visitor spending patterns, and behavior while accounting for uncertainty through variational inference. The implementation uses Python language on a tourism dataset comprising necessary attributes like visitor numbers, days, spending patterns, employment, international tourism samples over a specific region, and a diverse age group analyzed over a year. …”
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Visitor Segmentation Validation Accuracy.
Published 2025“…The model employs robust forecasting of economic impacts, visitor spending patterns, and behavior while accounting for uncertainty through variational inference. The implementation uses Python language on a tourism dataset comprising necessary attributes like visitor numbers, days, spending patterns, employment, international tourism samples over a specific region, and a diverse age group analyzed over a year. …”
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Integration of VAE and RNN Architecture.
Published 2025“…The model employs robust forecasting of economic impacts, visitor spending patterns, and behavior while accounting for uncertainty through variational inference. The implementation uses Python language on a tourism dataset comprising necessary attributes like visitor numbers, days, spending patterns, employment, international tourism samples over a specific region, and a diverse age group analyzed over a year. …”
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Cathode carbon block material parameters [14].
Published 2025“…A random aggregate model was implemented in Python and imported into finite element software to simulate sodium diffusion using Fick’s second law. …”
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Sodium concentration distribution cloud map.
Published 2025“…A random aggregate model was implemented in Python and imported into finite element software to simulate sodium diffusion using Fick’s second law. …”