IEEE - Institute of Electrical and Electronics Engineers, Inc. - Data-Driven Vessel Service Time Forecasting using Long Short-Term Memory Recurrent Neural Networks

2018 IEEE International Conference on Big Data (Big Data)

Author(s): Ibrahim Abualhaol ; Rafael Falcon ; Rami Abielmona ; Emil Petriu
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 December 2018
Conference Location: Seattle, WA, USA, USA
Conference Date: 10 December 2018
Page(s): 2,580 - 2,590
ISBN (Electronic): 978-1-5386-5035-6
ISBN (USB): 978-1-5386-5034-9
DOI: 10.1109/BigData.2018.8622626
Regular:

In this paper, we provide a proof of concept on how to model and forecast average Vessel Service Time $\left( {\overline {VST} } \right)$ using Long Short-Term Memory (LSTM) Recurrent Neural... View More

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