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2023

Journal Article

Enhancing feature selection optimization for COVID-19 microarray data

Krishanthi, Gayani, Jayetileke, Harshanie, Wu, Jinran, Liu, Chanjuan and Wang, You-Gan (2023). Enhancing feature selection optimization for COVID-19 microarray data. COVID, 3 (9), 1336-1355. doi: 10.3390/covid3090093

Enhancing feature selection optimization for COVID-19 microarray data

2023

Journal Article

Event-triggered output feedback control for a class of nonlinear systems via disturbance observer and adaptive dynamic programming

Yang, Yang, Fan, Xin, Gao, Weinan, Yue, Wenbin, Liu, Aaron, Geng, Shuocong and Wu, Jinran (2023). Event-triggered output feedback control for a class of nonlinear systems via disturbance observer and adaptive dynamic programming. IEEE Transactions on Fuzzy Systems, 31 (9), 3148-3160. doi: 10.1109/TFUZZ.2023.3245294

Event-triggered output feedback control for a class of nonlinear systems via disturbance observer and adaptive dynamic programming

2023

Journal Article

Improved prediction of local significant wave height by considering the memory of past winds

Zhang, Shaotong, Yang, Zhen, Zhang, Yaqi, Zhao, Shangrui, Wu, Jinran, Wang, Chenghao, Wang, You‐Gan, Jeng, Dong‐Sheng, Nielsen, Peter, Li, Guangxue and Li, Sanzhong (2023). Improved prediction of local significant wave height by considering the memory of past winds. Water Resources Research, 59 (8) e2023WR034974, 1-17. doi: 10.1029/2023wr034974

Improved prediction of local significant wave height by considering the memory of past winds

2023

Journal Article

QL-ADIFA: Hybrid optimization using Q-learning and an adaptive logarithmic spiral-levy firefly algorithm

Tan, Shuang, Zhao, Shangrui and Wu, Jinran (2023). QL-ADIFA: Hybrid optimization using Q-learning and an adaptive logarithmic spiral-levy firefly algorithm. Mathematical Biosciences and Engineering, 20 (8), 13542-13561. doi: 10.3934/mbe.2023604

QL-ADIFA: Hybrid optimization using Q-learning and an adaptive logarithmic spiral-levy firefly algorithm

2023

Journal Article

Robust adaptive rescaled lncosh neural network regression toward time-series forecasting

Yang, Yang, Zhou, Hu, Wu, Jinran, Ding, Zhe, Tian, Yu-Chu, Yue, Dong and Wang, You-Gan (2023). Robust adaptive rescaled lncosh neural network regression toward time-series forecasting. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 53 (9), 5658-5669. doi: 10.1109/tsmc.2023.3272880

Robust adaptive rescaled lncosh neural network regression toward time-series forecasting

2023

Journal Article

Iterative learning in support vector regression with heterogeneous variances

Wu, Jinran and Wang, You-Gan (2023). Iterative learning in support vector regression with heterogeneous variances. IEEE Transactions on Emerging Topics in Computational Intelligence, 7 (2), 513-522. doi: 10.1109/tetci.2022.3182725

Iterative learning in support vector regression with heterogeneous variances

2023

Journal Article

An evaluation of the impact of COVID-19 lockdowns on electricity demand

Wu, Jinran, Levi, Noa, Araujo, Robyn and Wang, You-Gan (2023). An evaluation of the impact of COVID-19 lockdowns on electricity demand. Electric Power Systems Research, 216 109015, 1-10. doi: 10.1016/j.epsr.2022.109015

An evaluation of the impact of COVID-19 lockdowns on electricity demand

2023

Journal Article

QQLMPA: A quasi-opposition learning and Q-learning based marine predators algorithm

Zhao, Shangrui, Wu, Yulu, Tan, Shuang, Wu, Jinran, Cui, Zhesen and Wang, You-Gan (2023). QQLMPA: A quasi-opposition learning and Q-learning based marine predators algorithm. Expert Systems with Applications, 213 (Part C) 119246, 119246. doi: 10.1016/j.eswa.2022.119246

QQLMPA: A quasi-opposition learning and Q-learning based marine predators algorithm

2023

Journal Article

A novel deep learning model for mining nonlinear dynamics in lake surface water temperature prediction

Hao, Zihan, Li, Weide, Wu, Jinran, Zhang, Shaotong and Hu, Shujuan (2023). A novel deep learning model for mining nonlinear dynamics in lake surface water temperature prediction. Remote Sensing, 15 (4) 900, 1-19. doi: 10.3390/rs15040900

A novel deep learning model for mining nonlinear dynamics in lake surface water temperature prediction

2023

Journal Article

Event-trigger-based fault-tolerant control of uncertain non-affine systems with predefined performance

Yang, Yang, Zhang, Yuwei, Wang, Zijin, Wu, Jinran and Si, Xuefeng (2023). Event-trigger-based fault-tolerant control of uncertain non-affine systems with predefined performance. International Journal of Control, Automation and Systems, 21 (2), 519-535. doi: 10.1007/s12555-021-1007-y

Event-trigger-based fault-tolerant control of uncertain non-affine systems with predefined performance

2023

Journal Article

A hybrid deep learning framework for air quality prediction with spatial autocorrelation during the COVID-19 pandemic

Zhao, Zixi, Wu, Jinran, Cai, Fengjing, Zhang, Shaotong and Wang, You-Gan (2023). A hybrid deep learning framework for air quality prediction with spatial autocorrelation during the COVID-19 pandemic. Scientific Reports, 13 (1) 1015, 1-17. doi: 10.1038/s41598-023-28287-8

A hybrid deep learning framework for air quality prediction with spatial autocorrelation during the COVID-19 pandemic

2023

Journal Article

An integrated federated learning algorithm for short-term load forecasting

Yang, Yang, Wang, Zijin, Zhao, Shangrui and Wu, Jinran (2023). An integrated federated learning algorithm for short-term load forecasting. Electric Power Systems Research, 214 108830, 108830-214. doi: 10.1016/j.epsr.2022.108830

An integrated federated learning algorithm for short-term load forecasting

2023

Journal Article

A working likelihood approach to support vector regression with a data-driven insensitivity parameter

Wu, Jinran and Wang, You-Gan (2023). A working likelihood approach to support vector regression with a data-driven insensitivity parameter. International Journal of Machine Learning and Cybernetics, 14 (3), 929-945. doi: 10.1007/s13042-022-01672-x

A working likelihood approach to support vector regression with a data-driven insensitivity parameter

2023

Journal Article

A new algorithm for support vector regression with automatic selection of hyperparameters

Wang, You-Gan, Wu, Jinran, Hu, Zhi-Hua and McLachlan, Geoffrey J. (2023). A new algorithm for support vector regression with automatic selection of hyperparameters. Pattern Recognition, 133 108989, 1-9. doi: 10.1016/j.patcog.2022.108989

A new algorithm for support vector regression with automatic selection of hyperparameters

2022

Journal Article

An asymmetric bisquare regression for mixed cyberattack-resilient load forecasting

Zhao, Shangrui, Wu, Qingyue, Zhang, Yueyi, Wu, Jinran and Li, Xi-An (2022). An asymmetric bisquare regression for mixed cyberattack-resilient load forecasting. Expert Systems with Applications, 210 118467, 118467-210. doi: 10.1016/j.eswa.2022.118467

An asymmetric bisquare regression for mixed cyberattack-resilient load forecasting

2022

Journal Article

Solving a Class of High-Order Elliptic PDEs Using Deep Neural Networks Based on Its Coupled Scheme

Li, Xi’an, Wu, Jinran, Zhang, Lei and Tai, Xin (2022). Solving a Class of High-Order Elliptic PDEs Using Deep Neural Networks Based on Its Coupled Scheme. Mathematics, 10 (22), 4186. doi: 10.3390/math10224186

Solving a Class of High-Order Elliptic PDEs Using Deep Neural Networks Based on Its Coupled Scheme

2022

Journal Article

A novel decompose-cluster-feedback algorithm for load forecasting with hierarchical structure

Yang, Yang, Zhou, Hu, Wu, Jinran, Liu, Chan-Juan and Wang, You-Gan (2022). A novel decompose-cluster-feedback algorithm for load forecasting with hierarchical structure. International Journal of Electrical Power and Energy Systems, 142 (Part A) 108249, 1-14. doi: 10.1016/j.ijepes.2022.108249

A novel decompose-cluster-feedback algorithm for load forecasting with hierarchical structure

2022

Journal Article

An effective distance-based centrality approach for exploring the centrality of maritime shipping network

Kuang, Zengjie, Liu, Chanjuan, Wu, Jinran and Wang, You-Gan (2022). An effective distance-based centrality approach for exploring the centrality of maritime shipping network. Heliyon, 8 (11) e11474, 1-12. doi: 10.1016/j.heliyon.2022.e11474

An effective distance-based centrality approach for exploring the centrality of maritime shipping network

2022

Journal Article

A statistical learning framework for spatial-temporal feature selection and application to air quality index forecasting

Zhao, Zixi, Wu, Jinran, Cai, Fengjing, Zhang, Shaotong and Wang, You-Gan (2022). A statistical learning framework for spatial-temporal feature selection and application to air quality index forecasting. Ecological Indicators, 144 109416, 1-16. doi: 10.1016/j.ecolind.2022.109416

A statistical learning framework for spatial-temporal feature selection and application to air quality index forecasting

2022

Journal Article

In situ observations of hydro-sediment dynamics on the abandoned Diaokou lobe of the Yellow River Delta: erosion mechanism and rate

Zhang, Shaotong, Zhang, Yaqi, Xu, Jishang, Guo, Lei, Li, Guangxue, Jia, Yonggang, Qiao, Lulu, Wu, Jinran, Wen, Mingzheng and Zhu, Chaoqi (2022). In situ observations of hydro-sediment dynamics on the abandoned Diaokou lobe of the Yellow River Delta: erosion mechanism and rate. Estuarine, Coastal and Shelf Science, 277 108065. doi: 10.1016/j.ecss.2022.108065

In situ observations of hydro-sediment dynamics on the abandoned Diaokou lobe of the Yellow River Delta: erosion mechanism and rate