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Modelling Nonlinear Climate-Economic Interactions in Food Security: An Explainable Machine Learning Approach for Early Warning Systems

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Τίτλος: Modelling Nonlinear Climate-Economic Interactions in Food Security: An Explainable Machine Learning Approach for Early Warning Systems
Συγγραφείς: Belova, Iryna, Yaroshchuk, Oleksiy, Shuvar, Antin
Πηγή: 2026 16th International Conference on Advanced Computer Information Technologies (ACIT) Advanced Computer Information Technologies (ACIT), 2026 16th International Conference on. :507-510 Sep, 2026
Relation: 2026 16th International Conference on Advanced Computer Information Technologies (ACIT)
Βάση Δεδομένων: IEEE Xplore Digital Library
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        Value: 10.1109/ACIT69831.2026.11699939
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      – TitleFull: Modelling Nonlinear Climate-Economic Interactions in Food Security: An Explainable Machine Learning Approach for Early Warning Systems
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              Y: 2026
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