A Supervised Machine Learning Approach for Intelligent Process Automation in Container Logistics

David Bricher; Andreas Müller

doi:10.1115/1.4046332

A Supervised Machine Learning Approach for Intelligent Process Automation in Container Logistics

David Bricher
, Andreas Müller

Institute of Robotics

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	031006-1
Number of pages	8
Journal	Journal of Computing and Information Science in Engineering
Volume	20
Issue number	3
DOIs	https://doi.org/10.1115/1.4046332
Publication status	Published - 2020

Fields of science

203015 Mechatronics
203022 Technical mechanics
202 Electrical Engineering, Electronics, Information Engineering
202035 Robotics
203013 Mechanical engineering

JKU Focus areas

Digital Transformation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1115/1.4046332

Cite this

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title = "A Supervised Machine Learning Approach for Intelligent Process Automation in Container Logistics",

author = "David Bricher and Andreas M{\"u}ller",

year = "2020",

doi = "10.1115/1.4046332",

language = "English",

volume = "20",

journal = "Journal of Computing and Information Science in Engineering",

issn = "1944-7078",

publisher = "ASME",

number = "3",

}

TY - JOUR

T1 - A Supervised Machine Learning Approach for Intelligent Process Automation in Container Logistics

AU - Bricher, David

AU - Müller, Andreas

PY - 2020

Y1 - 2020

UR - https://www.scopus.com/pages/publications/85088387633

U2 - 10.1115/1.4046332

DO - 10.1115/1.4046332

M3 - Article

SN - 1944-7078

VL - 20

JO - Journal of Computing and Information Science in Engineering

JF - Journal of Computing and Information Science in Engineering

IS - 3

M1 - 031006-1

ER -

A Supervised Machine Learning Approach for Intelligent Process Automation in Container Logistics

Fields of science

JKU Focus areas

UN SDGs

Access to Document

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Cite this