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Automatically discriminating and localizing COVID-19 from community-acquired pneumonia on chest X-rays

Pattern recognition, 2021-02, Vol.110, p.107613-107613, Article 107613

2021

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A novel improved extreme learning machine algorithm in solving ordinary differential equations by Legendre neural network methods

Advances in difference equations, 2018-12, Vol.2018 (1), Article 469

2018

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A deep residual compensation extreme learning machine and applications

Journal of forecasting, 2020-09, Vol.39 (6), p.986-999

2020

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Constructive Approximation to Multivariate Function by Decay RBF Neural Network

IEEE transaction on neural networks and learning systems, 2010-09, Vol.21 (9), p.1517-1523

2010

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HRW: Hybrid Residual and Weak Form Loss for Solving Elliptic Interface Problems with Neural Network

Numerical Mathematics: Theory, Methods and Applications, 2023, Vol.16 (4), p.883-913

2023

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An Effective CNN Method for Fully Automated Segmenting Subcutaneous and Visceral Adipose Tissue on CT Scans

Annals of biomedical engineering, 2020-01, Vol.48 (1), p.312-328

2020

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Global Solar Radiation Prediction Using Hybrid Online Sequential Extreme Learning Machine Model

Energies (Basel), 2018-12, Vol.11 (12), p.3415

2018

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Deep learning for abdominal adipose tissue segmentation with few labelled samples

International journal for computer assisted radiology and surgery, 2022-03, Vol.17 (3), p.579-587

2022

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A Second-Order Accurate Numerical Approximation for a Two-Sided Space-Fractional Diffusion Equation

Mathematics (Basel), 2023-04, Vol.11 (8), p.1838

2023

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A Digital Mask-Voiceprint System for Postpandemic Surveillance and Tracing Based on the STRONG Strategy

Journal of medical Internet research, 2023-11, Vol.25 (7935), p.e44795-e44795

2023

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R-JaunLab: Automatic Multi-Class Recognition of Jaundice on Photos of Subjects with Region Annotation Networks

Journal of digital imaging, 2021-04, Vol.34 (2), p.337-350

2021

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The multidimensional function approximation based on constructive wavelet RBF neural network

Applied soft computing, 2011-03, Vol.11 (2), p.2173-2177

2011

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A new constructive neural network method for noise processing and its application on stock market prediction

Applied soft computing, 2014-02, Vol.15, p.57-66

2014

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Solution of Ruin Probability for Continuous Time Model Based on Block Trigonometric Exponential Neural Network

Symmetry (Basel), 2020-06, Vol.12 (6), p.876

2020

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Neural network method for lossless two-conductor transmission line equations based on the IELM algorithm

AIP advances, 2018-06, Vol.8 (6), p.065010-065010-14

2018

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A Fast Implicit Finite Difference Method for Fractional Advection-Dispersion Equations with Fractional Derivative Boundary Conditions

Advances in Mathematical Physics, 2017-01, Vol.2017 (2017), p.1-8

2017

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The LS-SVM algorithms for boundary value problems of high-order ordinary differential equations

Advances in difference equations, 2019-05, Vol.2019 (1), Article 195

2019

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A new hybrid constructive neural network method for impacting and its application on tungsten price prediction

Applied intelligence (Dordrecht, Netherlands), 2017-07, Vol.47 (1), p.28-43

2017

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Forecasting stock index with multi-objective optimization model based on optimized neural network architecture avoiding overfitting

Computer Science and Information Systems, 2018, Vol.15 (1), p.211-236

2018

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Research on users’ participation mechanisms in virtual tourism communities by Bayesian network

Knowledge-based systems, 2021-08, Vol.226, p.107161, Article 107161

2021

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Solving Partial Differential Equation Based on Bernstein Neural Network and Extreme Learning Machine Algorithm

Neural processing letters, 2019-10, Vol.50 (2), p.1153-1172

2019

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Optimizing decision-making in electric power system selection: A generalized approach based on Hamacher aggregation operators for q-rung orthopair fuzzy soft sets

Applied energy, 2024-08, Vol.367, p.123405, Article 123405

2024

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A comprehensive decision support system for optimizing solar power projects using Fermatean fuzzy soft Einstein aggregation operators

Computers & electrical engineering, 2024-10, Vol.119, p.109519, Article 109519

2024

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Radial basis function neural network with extreme learning machine algorithm for solving ordinary differential equations

Soft computing (Berlin, Germany), 2023-04, Vol.27 (7), p.3955-3964

2023

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Correlation-driven framework based on graph convolutional network for clinical disease classification

Journal of statistical computation and simulation, 2021-10, Vol.91 (15), p.3108-3124

2021

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Automatically discriminating and localizing COVID-19 from community-acquired pneumonia on chest X-rays

A novel improved extreme learning machine algorithm in solving ordinary differential equations by Legendre neural network methods

A deep residual compensation extreme learning machine and applications

Constructive Approximation to Multivariate Function by Decay RBF Neural Network

HRW: Hybrid Residual and Weak Form Loss for Solving Elliptic Interface Problems with Neural Network

An Effective CNN Method for Fully Automated Segmenting Subcutaneous and Visceral Adipose Tissue on CT Scans

Global Solar Radiation Prediction Using Hybrid Online Sequential Extreme Learning Machine Model

Deep learning for abdominal adipose tissue segmentation with few labelled samples

A Second-Order Accurate Numerical Approximation for a Two-Sided Space-Fractional Diffusion Equation

A Digital Mask-Voiceprint System for Postpandemic Surveillance and Tracing Based on the STRONG Strategy

R-JaunLab: Automatic Multi-Class Recognition of Jaundice on Photos of Subjects with Region Annotation Networks

The multidimensional function approximation based on constructive wavelet RBF neural network

A new constructive neural network method for noise processing and its application on stock market prediction

Solution of Ruin Probability for Continuous Time Model Based on Block Trigonometric Exponential Neural Network

Neural network method for lossless two-conductor transmission line equations based on the IELM algorithm

A Fast Implicit Finite Difference Method for Fractional Advection-Dispersion Equations with Fractional Derivative Boundary Conditions

The LS-SVM algorithms for boundary value problems of high-order ordinary differential equations

A new hybrid constructive neural network method for impacting and its application on tungsten price prediction

Forecasting stock index with multi-objective optimization model based on optimized neural network architecture avoiding overfitting

Research on users’ participation mechanisms in virtual tourism communities by Bayesian network

Solving Partial Differential Equation Based on Bernstein Neural Network and Extreme Learning Machine Algorithm

Optimizing decision-making in electric power system selection: A generalized approach based on Hamacher aggregation operators for q-rung orthopair fuzzy soft sets

A comprehensive decision support system for optimizing solar power projects using Fermatean fuzzy soft Einstein aggregation operators

Radial basis function neural network with extreme learning machine algorithm for solving ordinary differential equations

Correlation-driven framework based on graph convolutional network for clinical disease classification

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