Towards Business Process Intelligence to Port2Port Governance Responsibility based on Learning Algorithms

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Halabi-Echeverry, AX ORCID: 0000-0002-8862-1543, Aldana-Bernal, JC, Villate-Daza, D and Islam, Sardar M. N ORCID: 0000-0001-9451-7390 (2021) Towards Business Process Intelligence to Port2Port Governance Responsibility based on Learning Algorithms. In: CITISIA 2021, 24 Nov 2021 - 26 Nov 2021, Sydney, Australia.

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Item type Conference or Workshop Item (Paper)
URI https://vuir.vu.edu.au/id/eprint/45596
DOI 10.1109/CITISIA53721.2021.9719989
Official URL https://ieeexplore.ieee.org/document/9719989
ISBN 9781665417846
Subjects Current > FOR (2020) Classification > 4611 Machine learning
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
Keywords ports; ships; greenhouse gas emissions; deep reinforcement learning; port governance responsibilities; business process management
Citations in Scopus 0 - View on Scopus
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