ML models and neural networks for analyzing 3D data spatial planning tasks: Example of Khasansky urban district of the Russian Federation-Reference-Cited by-同舟云学术

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ML models and neural networks for analyzing 3D data spatial planning tasks: Example of Khasansky urban district of the Russian Federation

Published:2022-11 Issue: Volume:173 Page:103251
ISSN:0965-9978
Container-title:Advances in Engineering Software
language:en
Short-container-title:Advances in Engineering Software

Author:

Akylbekov Olzhas,Said Nidal Al,Martínez-García Rebeca,Gura Dmitry

Funder

Russian Science Foundation

Publisher

Elsevier BV

Subject

General Engineering,Software

Reference36 articles.

1. Features of urban planning information system for lands accounting of oil production territories of Iraq;Sherbena,2021

2. Territorial planning for photovoltaic power plants using an outranking approach and GIS;Marques-Perez;J Clean Prod,2020

3. Using GIS to map priority areas for conservation versus mineral exploration: territorial sea of Espírito Santo State, Brazil, study case;Bisch,2020

4. Site suitability evaluation for urban development using GIS and analytic hierarchy process;Quinta-Nova;Millenium,2021

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1. Deep Learning Based Image Recognition Technology for Civil Engineering Applications;Applied Mathematics and Nonlinear Sciences;2024-01-01

2. Analysis of the Bottom Topography of the Reservoir Due to Sediment Trapping (According to the Krasnodar Reservoir, Russia);GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY;2023-10-08

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