MACHINE LEARNING FOR CONCRETE SUSTAINABILITY IMPROVEMENT: SMART FLEET MANAGEMENT

MACHINE LEARNING FOR CONCRETE SUSTAINABILITY IMPROVEMENT: SMART FLEET MANAGEMENT

In the dynamic landscape of modern business operations, ensuring economic security through efficient and intelligent fleet management is imperative. This necessitates a dual focus on safeguarding revenue streams and optimizing operational costs. The aim of this study centers on two main objectives:...

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Bibliographic Details
Main Authors: Coralia TANASUICA (ZOTIC), Mihai Daniel ROMAN
Format: Article
Language:English
Published: Academy of Economic Studies of Moldova (AESM), Center for Studies in European Integration 2024-06-01
Series:Eastern European Journal of Regional Studies
Subjects:
driver behavior
fleet sustainability
unsupervised machine learning
clustering analysis
co2 forecasting
Online Access:https://csei.ase.md/journal/files/issue_101/EEJRS_Issue10.1_page-79-97.pdf
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