Neural Computing and Applications to Marine Data Analytics

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ORIGINAL RESEARCH

Published on 08 Feb 2022

Toward Exploring Topographic Effects on Evolution and Propagation of Ocean Mesoscale Eddies Through Life Cycle Across Izu-Ogasawara Ridge in Northwestern Pacific Ocean

Rui Nian
Xue Geng
Zhengguang Zhang
Minghan Yuan
Zhen Fu
Hengfu Xu
Hua Yang
Qi Lai
Hui He
3 more
Bo He

doi 10.3389/fmars.2021.672272

967 views

METHODS

Published on 24 Sep 2021

Data-Driven Mapping With Prediction Neural Network for the Future Wide-Swath Satellite Altimetry

Jiankai Di
Chunyong Ma
Ge Chen

doi 10.3389/fmars.2021.670683

1,439 views
2 citations

ORIGINAL RESEARCH

Published on 17 Sep 2021

The Synthesis of Unpaired Underwater Images for Monocular Underwater Depth Prediction

Qi Zhao
Ziqiang Zheng
Huimin Zeng
Zhibin Yu
Haiyong Zheng
Bing Zheng

doi 10.3389/fmars.2021.690962

3,224 views
11 citations

ORIGINAL RESEARCH

Published on 17 Sep 2021

Short- to Medium-Term Sea Surface Height Prediction in the Bohai Sea Using an Optimized Simple Recurrent Unit Deep Network

Pengfei Ning
Cuicui Zhang
Xuefeng Zhang
Xiaoyi Jiang

doi 10.3389/fmars.2021.672280

1,657 views
3 citations

ORIGINAL RESEARCH

Published on 19 Aug 2021

Multi-Year ENSO Forecasts Using Parallel Convolutional Neural Networks With Heterogeneous Architecture

Min Ye
Jie Nie
Anan Liu
Zhigang Wang
Lei Huang
Hao Tian
Dehai Song
Zhiqiang Wei

doi 10.3389/fmars.2021.717184

2,851 views
14 citations

BRIEF RESEARCH REPORT

Published on 20 Jul 2021

A Glider Simulation Model Based on Optimized Support Vector Regression for Efficient Coordinated Observation

Fangjie Yu
Zhiyuan Zhuang
Jie Yang
Ge Chen

doi 10.3389/fmars.2021.671791

1,711 views
3 citations

ORIGINAL RESEARCH

Published on 17 Jun 2021

ConvLSTM-Based Wave Forecasts in the South and East China Seas

Shuyi Zhou
Wenhong Xie
Yuxiang Lu
Yuanlin Wang
Yulong Zhou
Nian Hui
Changming Dong

doi 10.3389/fmars.2021.680079

7,282 views
52 citations

ORIGINAL RESEARCH

Published on 15 Jun 2021

Application of Three Deep Learning Schemes Into Oceanic Eddy Detection

Guangjun Xu
Wenhong Xie
Changming Dong
Xiaoqian Gao

doi 10.3389/fmars.2021.672334

3,566 views
23 citations

ORIGINAL RESEARCH

Published on 09 Jun 2021

Estimating Ocean Surface Currents With Machine Learning

Anirban Sinha
Ryan Abernathey

doi 10.3389/fmars.2021.672477

9,626 views
30 citations

ORIGINAL RESEARCH

Published on 07 Jun 2021

The Identification and Prediction in Abundance Variation of Atlantic Cod via Long Short-Term Memory With Periodicity, Time–Frequency Co-movement, and Lead-Lag Effect Across Sea Surface Temperature, Sea Surface Salinity, Catches, and Prey Biomass From 1919 to 2016

Rui Nian
Qiang Yuan
Hui He
Xue Geng
Chi-Wei Su
Bo He
Amaury Lendasse

doi 10.3389/fmars.2021.665716

2,196 views
4 citations

ORIGINAL RESEARCH

Published on 07 May 2021

Global Oceanic Eddy Identification: A Deep Learning Method From Argo Profiles and Altimetry Data

Xiaoyan Chen
Ge Chen
Linyao Ge
Baoxiang Huang
Chuanchuan Cao

doi 10.3389/fmars.2021.646926

4,103 views
18 citations

ORIGINAL RESEARCH

Published on 03 May 2021

Efficacy of Feedforward and LSTM Neural Networks at Predicting and Gap Filling Coastal Ocean Timeseries: Oxygen, Nutrients, and Temperature

Steefan Contractor
Moninya Roughan

doi 10.3389/fmars.2021.637759

3,351 views
16 citations

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Frontiers in Marine Science

Ocean Observation

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Articles

Toward Exploring Topographic Effects on Evolution and Propagation of Ocean Mesoscale Eddies Through Life Cycle Across Izu-Ogasawara Ridge in Northwestern Pacific Ocean

Data-Driven Mapping With Prediction Neural Network for the Future Wide-Swath Satellite Altimetry

The Synthesis of Unpaired Underwater Images for Monocular Underwater Depth Prediction

Short- to Medium-Term Sea Surface Height Prediction in the Bohai Sea Using an Optimized Simple Recurrent Unit Deep Network

Multi-Year ENSO Forecasts Using Parallel Convolutional Neural Networks With Heterogeneous Architecture

A Glider Simulation Model Based on Optimized Support Vector Regression for Efficient Coordinated Observation

ConvLSTM-Based Wave Forecasts in the South and East China Seas

Application of Three Deep Learning Schemes Into Oceanic Eddy Detection

Estimating Ocean Surface Currents With Machine Learning

The Identification and Prediction in Abundance Variation of Atlantic Cod via Long Short-Term Memory With Periodicity, Time–Frequency Co-movement, and Lead-Lag Effect Across Sea Surface Temperature, Sea Surface Salinity, Catches, and Prey Biomass From 1919 to 2016

Global Oceanic Eddy Identification: A Deep Learning Method From Argo Profiles and Altimetry Data

Efficacy of Feedforward and LSTM Neural Networks at Predicting and Gap Filling Coastal Ocean Timeseries: Oxygen, Nutrients, and Temperature

Frontiers in Marine Science

Participating Journals

Impact