Ensemble learning prediction model for lithium-ion battery remaining useful life based on embedded feature selection. - Xiao-Tian Wang; Song-Bo Zhang; Jie-Sheng Wang; Xun Liu; Yun-Cheng Sun; Yi-Peng Shang-Guan; Ze-Zheng Zhang (Appl. Soft Comput., 2025)

Multi-Strategy Fusion Binary Zebra Optimization Algorithm for Solving Complex Industrial Process Data Feature Selection and Prediction Models. - Yi-Peng Shang-Guan; Jie-Sheng Wang; Yong-Cheng Sun; Yu-Wei Song; Yu-Liang Qi (Concurr. Comput. Pract. Exp., 2025)

Bidirectional online sequence extreme learning machine and switching strategy for soft-sensor model of SMB chromatography separation process. - Yong-Cheng Sun; Jie-Sheng Wang; Cheng Xing; Yi-Peng Shang-Guan; Xiao-Tian Wang; Song-Bo Zhang (Soft Comput., 2025)

Serial filter-wrapper feature selection method with elite guided mutation strategy on cancer gene expression data. - Yu-Wei Song; Jie-Sheng Wang; Yu-Liang Qi; Yu-Cai Wang; Hao-Ming Song; Yi-Peng Shang-Guan (Artif. Intell. Rev., 2025)

Capacity prediction model for lithium-ion batteries based on bi-directional LSTM neural network optimized by adaptive convergence factor gold rush optimizer. - Xiao-Tian Wang; Jie-Sheng Wang; Song-Bo Zhang; Xun Liu; Yong-Cheng Sun; Yi-Peng Shang-Guan (Evol. Intell., 2025)

PF-PSS: a double-layer parallel embedded feature selection method for cancer gene expression data. - Yu-Wei Song; Jie-Sheng Wang; Yu-Liang Qi; Yu-Cai Wang; Shi Li; Hao-Ming Song; Yi-Peng Shang-Guan (J. Big Data, 2025)