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Automated Detection of Refilling Stations in Industry Using Unsupervised Learning

AuthID
P-00Y-YAR

Author(s)

Ribeiro, J

Pinheiro, R

Soares, S

Valente, A

Amorim, V

Filipe, V

Editor(s)

Silva,FJG;Ferreira,LP;Sa,JC;Pereira,MT;Pinto,CMA

Document Type

Proceedings Paper

Year published

2024

Published

in FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING: ESTABLISHING BRIDGES FOR MORE SUSTAINABLE MANUFACTURING SYSTEMS, FAIM 2023, VOL 2 in Lecture Notes in Mechanical Engineering, ISSN: 2195-4356

Pages: 1157-1163 (7)

Conference

32Nd International Conference on Flexible Automation and Intelligent Manufacturing, Date: JUN 18-22, 2023, Location: Porto, PORTUGAL

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Metadata
Sources

Publication Identifiers

DOI: 10.1007/978-3-031-38165-2_132

Scopus: 2-s2.0-85172738526

Wos: WOS:001447342100132

Source Identifiers

ISSN: 2195-4356

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Automated Detection of Refilling Stations in Industry Using Unsupervised Learning

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