Computer Vision Methods and Deep Neural Networks for Ecological and Economic Analysis

Nataliia Kussul; Andrii Shelestov; Alla Lavreniuk; Bohdan Yailymov; Ганна Яйлимова; Andrii Kolotii; Sofiia Drozd; Volodymyr Savin; Polina Mikava; Ivan Kyrylenko; Oleksandr Yavorskyi; Anton Okhrimenko; Oleksands Parkhomchuk; Dmytro Khar; Yelyzaveta Volkova; Volodymyr Kuzin

doi:10.20535/978-966-00-1940-9

Analysis of economic activity indicators based on heterogeneous data

Authors

Nataliia Kussul; Andrii Shelestov, NTUU "Igor Sikorsky Kyiv Polytechnic Institute"; Bohdan Yailymov, Space research institute NAS of Ukraine and SSA of Ukraine; Ганна Яйлимова, НТУУ "КПІ ім. Ігоря Сікорського"; Andrii Kolotii, Space research institute NAS of Ukraine and SSA of Ukraine; Oleksands Parkhomchuk, Space research institute NAS of Ukraine and SSA of Ukraine

DOI: https://doi.org/10.20535/978-966-00-1940-9/3.3

Keywords:

machine learning, computer vision, ecological-economic analysis, imbalanced datasets, evolutionary algorithm, labeling problem, generative networks, satellite intelligence, multimodal data, rural infrastructure development, graph data, economic activity indicators, Land cover classification, Transfer learning

Computer Vision Methods and Deep Neural Networks for Ecological and Economic Analysis

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Pages

332-379

Published

November 28, 2024

Details about this monograph

Co-publisher's ISBN-13 (24)

978-966-00-1940-9

Date of first publication (11)

2024-11-28