A Generative Model-Based Network Framework for Ecological Data Reconstruction

This study examines the effectiveness of artificial intelligence techniques in generating high-quality environmental data for species introductory site selection systems. Combining Strengths, Weaknesses, Opportunities, Threat... | Find, read and cite all the research you need on Tech Science Press

Authors

Publication Details

Journal
Computers, materials & continua/Computers, materials & continua (Print)
Published
2024-11-19
DOI
https://doi.org/10.32604/cmc.2024.057319
Citations
1
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
1.05
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article

A Generative Model-Based Network Framework for Ecological Data Reconstruction

Xuebo Chen, Zhao Zhang, Shuqiao Liu, Hongyan Zhou
1 citations
Computers, materials & continua/Computers, materials & continua (Print)
Scientific Computing and Data Management
1.05
article

A Generative Model-Based Network Framework for Ecological Data Reconstruction

Xuebo Chen, Zhao Zhang, Shuqiao Liu, Hongyan Zhou
article en
1 citations

Abstract

This study examines the effectiveness of artificial intelligence techniques in generating high-quality environmental data for species introductory site selection systems. Combining Strengths, Weaknesses, Opportunities, Threat... | Find, read and cite all the research you need on Tech Science Press

Computers, materials & continua/Computers, materials & continua (Print)Vol. 82(1)
Openalex Percentile: Top 12%
Scientific Computing and Data Management
1.05
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A Generative Model-Based Network Framework for Ecological Data Reconstruction — Xuebo Chen, Zhao Zhang, et al. · Computers, materials & continua/Computers, materials & continua (Print) (2024) | TGRS Research Map | TGRS