Online fleet monitoring with scalable event recognition and forecasting-Reference-Cited by-同舟云学术

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Online fleet monitoring with scalable event recognition and forecasting

Published:2022-05-11 Issue:4 Volume:26 Page:613-644
ISSN:1384-6175
Container-title:GeoInformatica
language:en
Short-container-title:Geoinformatica

Author:

Ntoulias Emmanouil^ORCID,Alevizos Elias,Artikis Alexander,Akasiadis Charilaos,Koumparos Athanasios

Funder

Horizon 2020 Framework Programme

Publisher

Springer Science and Business Media LLC

Subject

Geography, Planning and Development,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s10707-022-00465-2.pdf

Reference50 articles.

1. Apache flink - stateful computations over data streams. https://flink.apache.org/

2. Apache kafka. https://kafka.apache.org/

3. Esper. http://www.espertech.com/esper

4. Esperonstorm. https://github.com/tomdz/storm-esper

5. Flinkcep - complex event processing for flink. https://ci.apache.org/projects/flink/flink-docs-stable/dev/libs/cep.html

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1. Learning Ship Activity Patterns in Maritime Data Streams: Enhancing CEP Rule Learning by Temporal and Spatial Relations and Domain-Specific Functions;IEEE Transactions on Intelligent Transportation Systems;2023-10

2. TraPM: A Framework for Online Pattern Matching Over Trajectory Streams;Information Integration and Web Intelligence;2023

3. Load-Haul Cycle Segmentation with Hidden Semi-Markov Models;2022 IEEE 18th International Conference on Automation Science and Engineering (CASE);2022-08-20

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