Applications of Deep Learning Models for Forecasting and Modelling Rainwater in Moscow

Applications of Deep Learning Models for Forecasting and Modelling Rainwater in Moscow

To model and forecast complex time series data, machine learning has become a major field. This machine learning study examined Moscow rainfall data's future performance. The dataset is split into 65% training and 35% test sets to build and validate the model. We compared these deep learning mo...

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Bibliographic Details
Main Authors: Ramadhan Ali J., Ray Soumik, Abotaleb Mostafa, Alkattan Hussein, Tiwari Garima, Rawat Deepa, Mishra Pradeep, Yadav Shikha, Tiwari Pushpika, Adebayo Adelaja Oluwaseun, Albadran Zainalabideen
Format: Article
Language:English
Published: EDP Sciences 2024-01-01
Series:BIO Web of Conferences
Online Access:https://www.bio-conferences.org/articles/bioconf/pdf/2024/16/bioconf_iscku2024_00126.pdf

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https://www.bio-conferences.org/articles/bioconf/pdf/2024/16/bioconf_iscku2024_00126.pdf

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