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ECG Classification Using Wavelet Packet Entropy and Random Forests

Entropy (Basel, Switzerland), 2016-08, Vol.18 (8), p.285-285

2016

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Forecasting crude oil prices based on variational mode decomposition and random sparse Bayesian learning

Applied soft computing, 2021-12, Vol.113, p.108032, Article 108032

2021

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Hyperchaotic Image Encryption Based on Multiple Bit Permutation and Diffusion

Entropy (Basel, Switzerland), 2021-04, Vol.23 (5), p.510

2021

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A CEEMDAN and XGBOOST-Based Approach to Forecast Crude Oil Prices

Complexity (New York, N.Y.), 2019-01, Vol.2019 (2019), p.1-15

2019

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Detecting Epileptic Seizures in EEG Signals with Complementary Ensemble Empirical Mode Decomposition and Extreme Gradient Boosting

Entropy (Basel, Switzerland), 2020-01, Vol.22 (2), p.140

2020

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Short-Term Load Forecasting with Improved CEEMDAN and GWO-Based Multiple Kernel ELM

Complexity (New York, N.Y.), 2020, Vol.2020 (2020), p.1-20

2020

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Image Encryption Based on Pixel-Level Diffusion with Dynamic Filtering and DNA-Level Permutation with 3D Latin Cubes

Entropy (Basel, Switzerland), 2019-03, Vol.21 (3), p.319

2019

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Hyper-Chaotic Color Image Encryption Based on Transformed Zigzag Diffusion and RNA Operation

Entropy (Basel, Switzerland), 2021-03, Vol.23 (3), p.361

2021

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An Adaptive Hybrid Learning Paradigm Integrating CEEMD, ARIMA and SBL for Crude Oil Price Forecasting

Energies (Basel), 2019-04, Vol.12 (7), p.1239

2019

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The stability of minimal solution sets for set optimization problems via improvement sets

Journal of inequalities and applications, 2023-05, Vol.2023 (1), p.75-10, Article 75

2023

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Image Encryption Based on Dynamic Filtering and Bit Cuboid Operations

Complexity (New York, N.Y.), 2019-01, Vol.2019 (2019), p.1-16

2019

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Daily Crude Oil Price Forecasting Based on Improved CEEMDAN, SCA, and RVFL: A Case Study in WTI Oil Market

Energies (Basel), 2020-04, Vol.13 (7), p.1852

2020

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Chaotic Color Image Encryption Based on Eight-Base DNA-Level Permutation and Diffusion

Entropy (Basel, Switzerland), 2023-08, Vol.25 (9), p.1268

2023

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Forecasting Daily Crude Oil Prices Using Improved CEEMDAN and Ridge Regression-Based Predictors

Energies (Basel), 2019-09, Vol.12 (19), p.3603

2019

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Integrated improved Harris hawks optimization for global and engineering optimization

Scientific reports, 2024-03, Vol.14 (1), p.7445-7445, Article 7445

2024

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Deep Image Steganography Using Transformer and Recursive Permutation

Entropy (Basel, Switzerland), 2022-06, Vol.24 (7), p.878

2022

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Author Correction: Integrated improved Harris hawks optimization for global and engineering optimization

Scientific reports, 2024-05, Vol.14 (1), p.10100-10100, Article 10100

2024

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Continuity of the solutions sets for parametric set optimization problems

Journal of inequalities and applications, 2024-04, Vol.2024 (1), p.62-12, Article 62

2024

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Forecasting Crude Oil Prices Using Ensemble Empirical Mode Decomposition and Sparse Bayesian Learning

Energies (Basel), 2018-07, Vol.11 (7), p.1882

2018

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A Novel Image Encryption Algorithm Based on a Fractional-Order Hyperchaotic System and DNA Computing

Complexity (New York, N.Y.), 2017-01, Vol.2017 (2017), p.1-13

2017

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Joint image compression and encryption based on sparse Bayesian learning and bit-level 3D Arnold cat maps

PloS one, 2019-11, Vol.14 (11), p.e0224382-e0224382

2019

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Advanced Machine Learning Applications in Big Data Analytics

2023

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A Hybrid Approach Integrating Multiple ICEEMDANs, WOA, and RVFL Networks for Economic and Financial Time Series Forecasting

Complexity (New York, N.Y.), 2020, Vol.2020 (2020), p.1-17

2020

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Divergence-Based Locally Weighted Ensemble Clustering with Dictionary Learning and L2,1-Norm

Entropy (Basel, Switzerland), 2022-09, Vol.24 (10), p.1324

2022

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Variation of the Korotkoff Stethoscope Sounds During Blood Pressure Measurement: Analysis Using a Convolutional Neural Network

IEEE journal of biomedical and health informatics, 2017-11, Vol.21 (6), p.1593-1598

2017

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ECG Classification Using Wavelet Packet Entropy and Random Forests

Forecasting crude oil prices based on variational mode decomposition and random sparse Bayesian learning

Hyperchaotic Image Encryption Based on Multiple Bit Permutation and Diffusion

A CEEMDAN and XGBOOST-Based Approach to Forecast Crude Oil Prices

Detecting Epileptic Seizures in EEG Signals with Complementary Ensemble Empirical Mode Decomposition and Extreme Gradient Boosting

Short-Term Load Forecasting with Improved CEEMDAN and GWO-Based Multiple Kernel ELM

Image Encryption Based on Pixel-Level Diffusion with Dynamic Filtering and DNA-Level Permutation with 3D Latin Cubes

Hyper-Chaotic Color Image Encryption Based on Transformed Zigzag Diffusion and RNA Operation

An Adaptive Hybrid Learning Paradigm Integrating CEEMD, ARIMA and SBL for Crude Oil Price Forecasting

The stability of minimal solution sets for set optimization problems via improvement sets

Image Encryption Based on Dynamic Filtering and Bit Cuboid Operations

Daily Crude Oil Price Forecasting Based on Improved CEEMDAN, SCA, and RVFL: A Case Study in WTI Oil Market

Chaotic Color Image Encryption Based on Eight-Base DNA-Level Permutation and Diffusion

Forecasting Daily Crude Oil Prices Using Improved CEEMDAN and Ridge Regression-Based Predictors

Integrated improved Harris hawks optimization for global and engineering optimization

Deep Image Steganography Using Transformer and Recursive Permutation

Author Correction: Integrated improved Harris hawks optimization for global and engineering optimization

Continuity of the solutions sets for parametric set optimization problems

Forecasting Crude Oil Prices Using Ensemble Empirical Mode Decomposition and Sparse Bayesian Learning

A Novel Image Encryption Algorithm Based on a Fractional-Order Hyperchaotic System and DNA Computing

Joint image compression and encryption based on sparse Bayesian learning and bit-level 3D Arnold cat maps

Advanced Machine Learning Applications in Big Data Analytics

A Hybrid Approach Integrating Multiple ICEEMDANs, WOA, and RVFL Networks for Economic and Financial Time Series Forecasting

Divergence-Based Locally Weighted Ensemble Clustering with Dictionary Learning and L2,1-Norm

Variation of the Korotkoff Stethoscope Sounds During Blood Pressure Measurement: Analysis Using a Convolutional Neural Network

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