Optimizing Land Use Identification With Social Networks: Comparative Evaluation of Machine Learning Algorithms-Reference-Cited by-同舟云学术

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Optimizing Land Use Identification With Social Networks: Comparative Evaluation of Machine Learning Algorithms

Published:2023 Issue: Volume:11 Page:117067-117077
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Aljeri Munairah¹^ORCID

Affiliation:

1. Kuwait Institute for Scientific Research, Safat, Kuwait

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10286828.pdf?arnumber=10286828

Reference50 articles.

1. Assessment of Land Use Pattern and Landscape Ecological Risk in the Chengdu-Chongqing Economic Circle, Southwestern China

2. Effects of land use and land cover change on soil organic carbon storage in the Hexi regions, Northwest China

3. Classifying land-use patterns by integrating time-series electricity data and high-spatial resolution remote sensing imagery;yao;Int J Appl Earth Observ Geoinf,2022

4. Coupling and coordinated development of urban land use economic efficiency and green manufacturing systems in the Chengdu-Chongqing Economic Circle

5. Anthropogenic Land Use and Land Cover Changes—A Review on Its Environmental Consequences and Climate Change

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