Cutting state estimation and time series prediction using deep learning for Cutter Suction Dredger-Reference-Cited by-同舟云学术

Cutting state estimation and time series prediction using deep learning for Cutter Suction Dredger

Published:2023-05 Issue: Volume:134 Page:103515
ISSN:0141-1187
Container-title:Applied Ocean Research
language:en
Short-container-title:Applied Ocean Research

Author:

Wang Bin^ORCID,Fan Shidong,Jiang Pan,Chen Yong,Zhu Hanhua,Xiong Ting

Funder

China Scholarship Council

Wuhan University of Technology

Higher Education Discipline Innovation Project

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Ocean Engineering

Reference30 articles.

1. Data mining approach to construction productivity prediction for cutter suction dredgers;Bai;Autom. Constr.,2019

2. Forecasting across time series databases using recurrent neural networks on groups of similar series: a clustering approach;Bandara;Expert Syst. Appl.,2020

3. Future prediction & estimation of faults occurrences in oil pipelines by using data clustering with time series forecasting;B.haskaran;J. Loss Prev. Process Ind.,2020

4. Optimization of Mechanical Dredeing Operations for Sediment Remediation;B.lazquez;J. Waterway, Port, Coast., Ocean Eng.,2001

5. Forecasting Seasonal Tourism Demand Using a Multiseries Structural Time Series Method;C.hen;J. Travel Res.,2017

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