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MLOps in freight rail operations

  • Published:2023-08 Issue: Volume:123 Page:106222
  • ISSN:0952-1976
  • Container-title:Engineering Applications of Artificial Intelligence
  • language:en
  • Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Pineda-Jaramillo JuanORCID,Viti FrancescoORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference61 articles.

1. Pycaret: An open source, low-code machine learning library in python;Ali,2020

2. Apache airflow, a platform created by the community to programmatically author;Apache Software Foundation;Sched. Monit. Work.,2015

3. Apache beam, the easiest way to do batch and streaming data processing;Apache Software Foundation,2016

4. Prediction of arrival times of freight traffic on US railroads using support vector regression;Barbour;Transp. Res. C,2018

5. Conceptual data modelling in theory and practice;Batra;Eur. J. Inf. Syst.,1995

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1. Big Data-driven MLOps workflow for annual high-resolution land cover classification models;Future Generation Computer Systems;2025-02

2. Analysing MLOps and its Applicability in the Maritime Domain through a Systematic Mapping Study;2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS);2024-05-12

3. Toward efficient data science: A comprehensive MLOps template for collaborative code development and automation;SoftwareX;2024-05

4. MLOps in Data Science Projects: A Review;2023 IEEE International Conference on Big Data (BigData);2023-12-15
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