A Spatiotemporal Convolutional Gated Recurrent Unit Network for Mean Wave Period Field Forecasting

A Spatiotemporal Convolutional Gated Recurrent Unit Network for Mean Wave Period Field Forecasting

Mean wave period (MWP) is one of the key parameters affecting the design of marine facilities. Currently, there are two main methods, numerical and data-driven methods, for forecasting wave parameters, of which the latter are widely used. However, few studies have focused on MWP forecasting, and eve...

Full description

Bibliographic Details
Main Authors:	Ting Yu, Jichao Wang
Format:	Article
Language:	English
Published:	MDPI AG 2021-04-01
Series:	Journal of Marine Science and Engineering
Subjects:	mean wave period data-driven convolutional gated recurrent unit spatiotemporal
Online Access:	https://www.mdpi.com/2077-1312/9/4/383

Similar Items

Soft Periodic Convolutional Recurrent Network for Spatiotemporal Climate Forecast
by: Ekasit Phermphoonphiphat, et al.
Published: (2021-10-01)

Gated Recurrent Unit Embedded with Dual Spatial Convolution for Long-Term Traffic Flow Prediction
by: Qingyong Zhang, et al.
Published: (2023-09-01)

An Attention-Based Spatiotemporal Gated Recurrent Unit Network for Point-of-Interest Recommendation
by: Chunyang Liu, et al.
Published: (2019-08-01)

Time-Adaptive Transient Stability Assessment Based on the Gating Spatiotemporal Graph Neural Network and Gated Recurrent Unit
by: Jianfeng Liu, et al.
Published: (2022-04-01)

Electrocardiogram prediction based on variational mode decomposition and a convolutional gated recurrent unit
by: HongBo Wang, et al.
Published: (2024-01-01)

Aircraft Engine Bleed Valve Prognostics Using Multiclass Gated Recurrent Unit
by: Marcia L. Baptista, et al.
Published: (2023-04-01)

Solar Power Generation Forecast Using Multivariate Convolution Gated Recurrent Unit Network
by: Hsu-Yung Cheng, et al.
Published: (2024-06-01)

Gearbox Fault Diagnosis Based on Multi-Sensor Deep Spatiotemporal Feature Representation
by: Fengyun Xie, et al.
Published: (2023-06-01)

Efficient Gated Convolutional Recurrent Neural Networks for Real-Time Speech Enhancement
by: Fazal-E -Wahab, et al.
Published: (2025-01-01)

An Interpretable Light Attention–Convolution–Gate Recurrent Unit Architecture for the Highly Accurate Modeling of Actual Chemical Dynamic Processes
by: Yue Li, et al.
Published: (2024-08-01)

A Time-Series Model of Gated Recurrent Units Based on Attention Mechanism for Short-Term Load Forecasting
by: Wutao Xiong
Published: (2024-01-01)

Cryptocurrency Price Prediction with Convolutional Neural Network and Stacked Gated Recurrent Unit
by: Chuen Yik Kang, et al.
Published: (2022-10-01)

Fault Diagnosis of Motor Vibration Signals by Fusion of Spatiotemporal Features
by: Lijing Wang, et al.
Published: (2022-03-01)

Spatiotemporal wind speed forecasting using conditional local convolution and multidimensional meteorology features
by: Meng Wang, et al.
Published: (2024-10-01)

Fault diagnosis of rolling bearing based on deep convolutional neural network and gated recurrent unit
by: Zhexin ZHOU, et al.
Published: (2023-01-01)

Convolutional Neural Network-Gated Recurrent Unit-Attention basedModel for Blueberry Shelf Life Prediction
by: ZHANG Runze, FENG Guohong, FU Shenghong, WANG Hong’en, GAO Shan, ZHU Yujie, LIU Zhongshen
Published: (2024-07-01)

VR-Aided Ankle Rehabilitation Decision-Making Based on Convolutional Gated Recurrent Neural Network
by: Hu Zhang, et al.
Published: (2024-10-01)

MRI Rician Noise Reduction Using Recurrent Convolutional Neural Networks
by: Javier Gurrola-Ramos, et al.
Published: (2024-01-01)

Short-Term Load Forecasting Based on Adabelief Optimized Temporal Convolutional Network and Gated Recurrent Unit Hybrid Neural Network
by: Hanhong Shi, et al.
Published: (2021-01-01)

Model Analysis of Gated Recurrent Unit for Multivariate Rice Price Forecasting
by: Muhammad Ikhsan Ananda
Published: (2023-12-01)

Autonomous Exploration of Mobile Robots via Deep Reinforcement Learning Based on Spatiotemporal Information on Graph
by: Zhiwen Zhang, et al.
Published: (2021-09-01)

Bi-Directional Convolutional Recurrent Reconstructive Network for Welding Defect Detection
by: Young-Min Kim, et al.
Published: (2021-01-01)

Multi-directional gated recurrent unit and convolutional neural network for load and energy forecasting: A novel hybridization
by: Fazeel Abid, et al.
Published: (2023-06-01)

Traffic Flow Prediction Model Based on the Combination of Improved Gated Recurrent Unit and Graph Convolutional Network
by: Yun Zhao, et al.
Published: (2022-02-01)

AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting
by: Jiawei Zhu, et al.
Published: (2021-01-01)

Multi-Head Spatiotemporal Attention Graph Convolutional Network for Traffic Prediction
by: Ariyo Oluwasanmi, et al.
Published: (2023-04-01)

Shear wave velocity prediction using bidirectional recurrent gated graph convolutional network with total information embeddings
by: David Cova, et al.
Published: (2023-02-01)

Inferring Drug-Related Diseases Based on Convolutional Neural Network and Gated Recurrent Unit
by: Ping Xuan, et al.
Published: (2019-07-01)

A deep gated recurrent neural network for petroleum production forecasting
by: Raghad Al-Shabandar, et al.
Published: (2021-03-01)

CricShotClassify: An Approach to Classifying Batting Shots from Cricket Videos Using a Convolutional Neural Network and Gated Recurrent Unit
by: Anik Sen, et al.
Published: (2021-04-01)

Flood prediction with optimized gated recurrent unit-temporal convolutional network and improved KDE error estimation
by: Chenmin Ni, et al.
Published: (2024-04-01)

Spatiotemporal distribution prediction of gas concentration based on GCN-GRU
by: QIN Jiaxin, et al.
Published: (2023-05-01)

Interactive Temporal Recurrent Convolution Network for Traffic Prediction in Data Centers
by: Xiaofeng Cao, et al.
Published: (2018-01-01)

Multi‐site collaborative forecasting of regional visibility based on spatiotemporal convolutional network
by: Wei Tian, et al.
Published: (2024-09-01)

Forecasting carbon price using empirical wavelet transform and gated recurrent unit neural network
by: Hui Liu, et al.
Published: (2020-01-01)

Spatial–Temporal Traffic Flow Prediction With Fusion Graph Convolution Network and Enhanced Gated Recurrent Units
by: Chuang Cai, et al.
Published: (2024-01-01)

Differential Entropy Feature Signal Extraction Based on Activation Mode and Its Recognition in Convolutional Gated Recurrent Unit Network
by: Yongsheng Zhu, et al.
Published: (2021-01-01)

Regional characteristics’ impact on the performances of the gated recurrent unit on streamflow forecasting
by: Qianyang Wang, et al.
Published: (2022-04-01)

Ship Traffic Flow Prediction in Wind Farms Water Area Based on Spatiotemporal Dependence
by: Tian Xu, et al.
Published: (2022-02-01)

Accurate discharge coefficient prediction of streamlined weirs by coupling linear regression and deep convolutional gated recurrent unit
by: Weibin Chen, et al.
Published: (2022-12-01)