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 - Jun 2020

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure

Fields of science

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

JKU Focus areas

Digital Transformation

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",

month = jun,

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 - 2020/6

Y1 - 2020/6

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

UN SDGs

Fields of science

JKU Focus areas

Access to Document

Other files and links

Cite this