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Short-term wind speed forecasting using empirical mode decomposition and feature selection

Renewable energy, 2016-10, Vol.96, p.727-737

2016

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Direct interval forecasting of wind speed using radial basis function neural networks in a multi-objective optimization framework

Neurocomputing (Amsterdam), 2016-09, Vol.205, p.53-63

2016

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Seizure Prediction in EEG Signals Using STFT and Domain Adaptation

Frontiers in neuroscience, 2022-01, Vol.15, p.825434-825434

2022

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Industrial time series forecasting based on improved Gaussian process regression

Soft computing (Berlin, Germany), 2020-10, Vol.24 (20), p.15853-15869

2020

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A Hybrid Nonlinear Forecasting Strategy for Short-Term Wind Speed

Energies (Basel), 2020-04, Vol.13 (7), p.1596

2020

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Online Kernel-Based Structured Output SVM for Early Expression Detection

IEEE signal processing letters, 2019-09, Vol.26 (9), p.1305-1309

2019

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A deep‐learning based solar irradiance forecast using missing data

IET renewable power generation, 2022-05, Vol.16 (7), p.1462-1473

2022

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Event-Triggered Adaptive Fault Tolerant Control for a Class of Uncertain Nonlinear Systems

Entropy (Basel, Switzerland), 2020-05, Vol.22 (6), p.598

2020

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Intelligent acceptance check for towers of overhead transmission line based on point clouds

IET generation, transmission & distribution, 2023-11, Vol.17 (22), p.5074-5089

2023

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Sample Selection Based on Active Learning for Short-Term Wind Speed Prediction

Energies (Basel), 2019-01, Vol.12 (3), p.337

2019

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The Antarctic Astronomical Observations Intelligent Support Equipment “Dome A” Site-Testing Observatory: Electric Power Generation and Control Systems

Energies (Basel), 2020-09, Vol.13 (17), p.4308

2020

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Variable Fractional-Order Equivalent Circuit Model for Lithium-Ion Battery via Chaotic Adaptive Fractional Particle Swarm Optimization Method

Symmetry (Basel), 2022-11, Vol.14 (11), p.2407

2022

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Inter-hour direct normal irradiance forecast with multiple data types and time-series

Journal of modern power systems and clean energy, 2019-09, Vol.7 (5), p.1319-1327

2019

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Method to describe the distribution of wind velocity and its application in wind resource evaluation

Energy science & engineering, 2022-12, Vol.10 (12), p.4747-4755

2022

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Genome-Wide Survey and Expression Analyses of Hexokinase Family in Poplar (Populus trichocarpa)

Plants (Basel), 2022-08, Vol.11 (15), p.2025

2022

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Wind power prediction with missing data using Gaussian process regression and multiple imputation

Applied soft computing, 2018-10, Vol.71, p.905-916

2018

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Singularities in the identification of dynamic systems

Neurocomputing (Amsterdam), 2014-09, Vol.140, p.339-344

2014

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Efficient Early Event Detector for Streaming Sequence

IEEE access, 2019, Vol.7, p.85875-85886

2019

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Transcriptomic Profiling of Populus Roots Challenged with Fusarium Reveals Differential Responsive Patterns of Invertase and Invertase Inhibitor-Like Families within Carbohydrate Metabolism

Journal of fungi (Basel), 2021-01, Vol.7 (2), p.89

2021

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3D-CNN-based feature extraction of ground-based cloud images for direct normal irradiance prediction

Solar energy, 2019-03, Vol.181, p.510-518

2019

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Dynamics of learning near singularities in radial basis function networks

Neural networks, 2008-09, Vol.21 (7), p.989-1005

2008

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Space electromagnetic interference analysis of secondary equipment signal cable

E3S Web of Conferences, 2021-01, Vol.237, p.2010

2021

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A Gaussian process regression based hybrid approach for short-term wind speed prediction

Energy conversion and management, 2016-10, Vol.126, p.1084-1092

2016

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Hypergraph Optimization for Salient Region Detection Based on Foreground and Background Queries

IEEE access, 2018-01, Vol.6, p.26729-26741

2018

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Dynamics of Learning Near Singularities in Layered Networks

Neural computation, 2008-03, Vol.20 (3), p.813-843

2008

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Short-term wind speed forecasting using empirical mode decomposition and feature selection

Direct interval forecasting of wind speed using radial basis function neural networks in a multi-objective optimization framework

Seizure Prediction in EEG Signals Using STFT and Domain Adaptation

Industrial time series forecasting based on improved Gaussian process regression

A Hybrid Nonlinear Forecasting Strategy for Short-Term Wind Speed

Online Kernel-Based Structured Output SVM for Early Expression Detection

A deep‐learning based solar irradiance forecast using missing data

Event-Triggered Adaptive Fault Tolerant Control for a Class of Uncertain Nonlinear Systems

Intelligent acceptance check for towers of overhead transmission line based on point clouds

Sample Selection Based on Active Learning for Short-Term Wind Speed Prediction

The Antarctic Astronomical Observations Intelligent Support Equipment “Dome A” Site-Testing Observatory: Electric Power Generation and Control Systems

Variable Fractional-Order Equivalent Circuit Model for Lithium-Ion Battery via Chaotic Adaptive Fractional Particle Swarm Optimization Method

Inter-hour direct normal irradiance forecast with multiple data types and time-series

Method to describe the distribution of wind velocity and its application in wind resource evaluation

Genome-Wide Survey and Expression Analyses of Hexokinase Family in Poplar (Populus trichocarpa)

Wind power prediction with missing data using Gaussian process regression and multiple imputation

Singularities in the identification of dynamic systems

Efficient Early Event Detector for Streaming Sequence

Transcriptomic Profiling of Populus Roots Challenged with Fusarium Reveals Differential Responsive Patterns of Invertase and Invertase Inhibitor-Like Families within Carbohydrate Metabolism

3D-CNN-based feature extraction of ground-based cloud images for direct normal irradiance prediction

Dynamics of learning near singularities in radial basis function networks

Space electromagnetic interference analysis of secondary equipment signal cable

A Gaussian process regression based hybrid approach for short-term wind speed prediction

Hypergraph Optimization for Salient Region Detection Based on Foreground and Background Queries

Dynamics of Learning Near Singularities in Layered Networks

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