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Hyperchaotic Image Encryption Based on Multiple Bit Permutation and Diffusion by Taiyong Li, Duzhong Zhang
Published 2021-04-01
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The stability of minimal solution sets for set optimization problems via improvement sets by Taiyong Li, Yanhui Wei
Published 2023-05-01
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Daily Crude Oil Price Forecasting Based on Improved CEEMDAN, SCA, and RVFL: A Case Study in WTI Oil Market by Jiang Wu, Feng Miu, Taiyong Li
Published 2020-04-01
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Hyper-Chaotic Color Image Encryption Based on Transformed Zigzag Diffusion and RNA Operation by Duzhong Zhang, Lexing Chen, Taiyong Li
Published 2021-03-01
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Short-Term Load Forecasting with Improved CEEMDAN and GWO-Based Multiple Kernel ELM by Taiyong Li, Zijie Qian, Ting He
Published 2020-01-01
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Continuity of the solutions sets for parametric set optimization problems by Manli Yang, Taiyong Li, Guanghui Xu
Published 2024-04-01
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Image Encryption Based on Dynamic Filtering and Bit Cuboid Operations by Xinsheng Li, Zhilong Xie, Jiang Wu, Taiyong Li
Published 2019-01-01
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Divergence-Based Locally Weighted Ensemble Clustering with Dictionary Learning and <i>L</i><sub>2,1</sub>-Norm by Jiaxuan Xu, Jiang Wu, Taiyong Li, Yang Nan
Published 2022-09-01
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Chaotic Color Image Encryption Based on Eight-Base DNA-Level Permutation and Diffusion by Wei Fan, Taiyong Li, Jianan Wu, Jiang Wu
Published 2023-08-01
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A Novel Image Encryption Algorithm Based on a Fractional-Order Hyperchaotic System and DNA Computing by Taiyong Li, Minggao Yang, Jiang Wu, Xin Jing
Published 2017-01-01
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A CEEMDAN and XGBOOST-Based Approach to Forecast Crude Oil Prices by Yingrui Zhou, Taiyong Li, Jiayi Shi, Zijie Qian
Published 2019-01-01
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Deep Image Steganography Using Transformer and Recursive Permutation by Zhiyi Wang, Mingcheng Zhou, Boji Liu, Taiyong Li
Published 2022-06-01
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An Adaptive Hybrid Learning Paradigm Integrating CEEMD, ARIMA and SBL for Crude Oil Price Forecasting by Jiang Wu, Yu Chen, Tengfei Zhou, Taiyong Li
Published 2019-04-01
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Joint image compression and encryption based on sparse Bayesian learning and bit-level 3D Arnold cat maps. by Xinsheng Li, Taiyong Li, Jiang Wu, Zhilong Xie, Jiayi Shi
Published 2019-01-01
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Forecasting Crude Oil Prices Using Ensemble Empirical Mode Decomposition and Sparse Bayesian Learning by Taiyong Li, Zhenda Hu, Yanchi Jia, Jiang Wu, Yingrui Zhou
Published 2018-07-01
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Forecasting Daily Crude Oil Prices Using Improved CEEMDAN and Ridge Regression-Based Predictors by Taiyong Li, Yingrui Zhou, Xinsheng Li, Jiang Wu, Ting He
Published 2019-09-01
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FedBeam: Reliable Incentive Mechanisms for Federated Learning in UAV-Enabled Internet of Vehicles by Gangqiang Hu, Donglin Zhu, Jiaying Shen, Jialing Hu, Jianmin Han, Taiyong Li
Published 2024-10-01
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