A significant wave height forecast framework with end-to-end dynamic modeling and lag features length optimization

Investigation on a spring-integrated mechanical power take-off system for wave energy conversion purpose

(2022) Jinming Wu et al.   ENERGY

Bayesian optimization based dynamic ensemble for time series forecasting

(2022) Liang Du et al.   INFORMATION SCIENCES

Prediction of Wave Energy Flux in the Bohai Sea through Automated Machine Learning

(2022) Hengyi Yang et al.   Journal of Marine Science and Engineering

Bayesian reaction optimization as a tool for chemical synthesis

(2021) Benjamin J. Shields et al.   NATURE

Uncertain accessibility estimation method for offshore wind farm based on multi‐step probabilistic wave forecasting

(2021) Hao Zhang et al.   IET Renewable Power Generation

On the improvements in nearshore wave height predictions using nested SWAN-SWASH modelling in the eastern coastal waters of India

(2021) P.A. Umesh et al.   OCEAN ENGINEERING

A novel hybrid model based on STL decomposition and one-dimensional convolutional neural networks with positional encoding for significant wave height forecast

(2021) Shaobo Yang et al.   RENEWABLE ENERGY

Construction of rapid early warning and comprehensive analysis models for urban waterlogging based on AutoML and comparison of the other three machine learning algorithms

(2021) Yuchen Guo et al.   JOURNAL OF HYDROLOGY

Nowcasting significant wave height by hierarchical machine learning classification

(2021) Demetris Demetriou et al.   OCEAN ENGINEERING

Improved short-term prediction of significant wave height by decomposing deterministic and stochastic components

(2021) Weinan Huang et al.   RENEWABLE ENERGY

A machine learning model for detecting invasive ductal carcinoma with Google Cloud AutoML Vision

(2020) Yan Zeng et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Forecasting, hindcasting and feature selection of ocean waves via recurrent and sequence-to-sequence networks

(2020) Mohammad Pirhooshyaran et al.   OCEAN ENGINEERING

A novel model to predict significant wave height based on long short-term memory network

(2020) Shuntao Fan et al.   OCEAN ENGINEERING

AutoML: A survey of the state-of-the-art

(2020) Xin He et al.   KNOWLEDGE-BASED SYSTEMS

Reconstruction of GRACE Total Water Storage Through Automated Machine Learning

(2020) Alexander Y. Sun et al.   WATER RESOURCES RESEARCH

Deep Learning for Predicting Significant Wave Height From Synthetic Aperture Radar

(2020) Brandon Quach et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

A machine learning framework to forecast wave conditions

(2018) Scott C. James et al.   COASTAL ENGINEERING

ggplot2 - Elegant Graphics for Data Analysis (2nd Edition)

(2017) Virgilio Gómez-Rubio   Journal of Statistical Software

Analysis and application of forecasting models in wind power integration: A review of multi-step-ahead wind speed forecasting models

(2016) Jianzhou Wang et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Significant wave height and energy flux prediction for marine energy applications: A grouping genetic algorithm – Extreme Learning Machine approach

(2016) L. Cornejo-Bueno et al.   RENEWABLE ENERGY

Forecasting the ocean state using NEMO:The new FOAM system

(2015) D Storkey et al.   Journal of Operational Oceanography

Prediction of significant wave height using regressive support vector machines

(2009) J. Mahjoobi et al.   OCEAN ENGINEERING