Supervised Machine Learning Algorithms for Measuring and Promoting Sustainable Transportation and Green Logistics | Zendy

Juliana Castaneda | Zendy; John F. Cardona | Zendy; Leandro do C. Martins | Zendy; Ángel A. Juan | Zendy

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Supervised Machine Learning Algorithms for Measuring and Promoting Sustainable Transportation and Green Logistics

Author(s) -

Juliana Castaneda,

John F. Cardona,

Leandro do C. Martins,

Ángel A. Juan

Publication year - 2021

Publication title -

transportation research procedia

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.657

H-Index - 40

eISSN - 2352-1465

pISSN - 2352-1457

DOI - 10.1016/j.trpro.2021.11.061

Subject(s) - sustainability , sustainable transport , support vector machine , sustainable development , dimension (graph theory) , work (physics) , european commission , computer science , algorithm , key (lock) , machine learning , commission , transport engineering , artificial intelligence , engineering , business , european union , computer security , ecology , political science , law , biology , mechanical engineering , mathematics , finance , pure mathematics , economic policy

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