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vcf2dis (version 1.44  (BGI Shenzhen)

 
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    BGI Shenzhen vcf2dis (version 1.44
    Vcf2dis (Version 1.44, supplied by BGI Shenzhen, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/github/pmc10363506-311-0-4?v=BGI+Shenzhen
    Average 90 stars, based on 1 article reviews
    vcf2dis (version 1.44 - by Bioz Stars, 2026-07
    90/100 stars

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    Image Search Results


    Research flow diagram using Global Water Consumption (2000–2024) dataset.

    Journal: Scientific Reports

    Article Title: Forecasting of global water usage in agriculture and total global consumption by using the Bi-GRU model

    doi: 10.1038/s41598-026-44885-8

    Figure Lengend Snippet: Research flow diagram using Global Water Consumption (2000–2024) dataset.

    Article Snippet: , 2022 , ANN , Kaggle Water Quality Dataset & GitHub Water Consumption Dataset , , R2=0.997 , The exclusive focus on the volume of water consumed over a specific period..

    Techniques:

    Split of the GWC dataset into 80% training, 10% validation and 10% testing.

    Journal: Scientific Reports

    Article Title: Forecasting of global water usage in agriculture and total global consumption by using the Bi-GRU model

    doi: 10.1038/s41598-026-44885-8

    Figure Lengend Snippet: Split of the GWC dataset into 80% training, 10% validation and 10% testing.

    Article Snippet: , 2022 , ANN , Kaggle Water Quality Dataset & GitHub Water Consumption Dataset , , R2=0.997 , The exclusive focus on the volume of water consumed over a specific period..

    Techniques: Biomarker Discovery

    Bi-GRU model predictions of TWC on the test dataset.

    Journal: Scientific Reports

    Article Title: Forecasting of global water usage in agriculture and total global consumption by using the Bi-GRU model

    doi: 10.1038/s41598-026-44885-8

    Figure Lengend Snippet: Bi-GRU model predictions of TWC on the test dataset.

    Article Snippet: , 2022 , ANN , Kaggle Water Quality Dataset & GitHub Water Consumption Dataset , , R2=0.997 , The exclusive focus on the volume of water consumed over a specific period..

    Techniques:

    Bi-GRU model predictions of AWU on the test dataset.

    Journal: Scientific Reports

    Article Title: Forecasting of global water usage in agriculture and total global consumption by using the Bi-GRU model

    doi: 10.1038/s41598-026-44885-8

    Figure Lengend Snippet: Bi-GRU model predictions of AWU on the test dataset.

    Article Snippet: , 2022 , ANN , Kaggle Water Quality Dataset & GitHub Water Consumption Dataset , , R2=0.997 , The exclusive focus on the volume of water consumed over a specific period..

    Techniques:

    Error comparison of DL models on the GWC (2000–2024) dataset.

    Journal: Scientific Reports

    Article Title: Forecasting of global water usage in agriculture and total global consumption by using the Bi-GRU model

    doi: 10.1038/s41598-026-44885-8

    Figure Lengend Snippet: Error comparison of DL models on the GWC (2000–2024) dataset.

    Article Snippet: , 2022 , ANN , Kaggle Water Quality Dataset & GitHub Water Consumption Dataset , , R2=0.997 , The exclusive focus on the volume of water consumed over a specific period..

    Techniques: Comparison