SPATIAL DATA INFRASTRUCTURE: EXPERIENCE AND DEVELOPMENT DIRECTIONS

The authors consider digitalization processes in the construction industry, give assessments of AI systems and the efficiency of neural networks in the process of creating new facilities and their design, assess the potential for automating this market niche, based on demand conditions and the growing need for infrastructural changes in most countries of the world.

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Published
2024-12-11
DOI
https://doi.org/10.34660/inf.2022.58.54.105
Primary Topic
Geographic Information Systems Studies
Type
article
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article

SPATIAL DATA INFRASTRUCTURE: EXPERIENCE AND DEVELOPMENT DIRECTIONS

I. A. Khabarova, D.A. Khabarov, V.I. Nilipovskiy
Geographic Information Systems Studies
article

SPATIAL DATA INFRASTRUCTURE: EXPERIENCE AND DEVELOPMENT DIRECTIONS

I. A. Khabarova, D.A. Khabarov, V.I. Nilipovskiy
article en

Abstract

The authors consider digitalization processes in the construction industry, give assessments of AI systems and the efficiency of neural networks in the process of creating new facilities and their design, assess the potential for automating this market niche, based on demand conditions and the growing need for infrastructural changes in most countries of the world.

State University of Land Use Planning (RU)
Industry, innovation and infrastructure
Openalex Percentile: Top 62%
Geographic Information Systems Studies
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SPATIAL DATA INFRASTRUCTURE: EXPERIENCE AND DEVELOPMENT DIRECTIONS — I. A. Khabarova, D.A. Khabarov, et al. · (2024) | TGRS Research Map | TGRS