Tradeoff Analysis for Optimal Multiobjective Inventory Model. - Longsheng Cheng; Ching-Shih Tsou; Ming-Chang Lee; Li-Hua Huang; Dingwei Song; Wei-Shan Teng (J. Appl. Math., 2013)

Rolling bearing fault diagnosis and health assessment using EEMD and the adjustment Mahalanobis-Taguchi system. - Junxun Chen; Longsheng Cheng; Hui Yu; Shaolin Hu (Int. J. Syst. Sci., 2018)

Classification of Imbalanced Data Based on MTS-CBPSO Method: A Case Study of Financial Distress Prediction. - Yuping Gu; Longsheng Cheng; Zhipeng Chang (J. Inf. Process. Syst., 2019)

Clustering by Using the Way of Atomic Fission. - Shizhan Lu; Longsheng Cheng; Rashid Mehmood (IEEE Access, 2020)

Diagnosis of Asthma Based on Routine Blood Biomarkers Using Machine Learning. - Jun Zhan; Wen Chen; Longsheng Cheng; Qiong Wang; Feifei Han; Yubao Cui (Comput. Intell. Neurosci., 2020)

Interval Prediction of Photovoltaic Power Using Improved NARX Network and Density Peak Clustering Based on Kernel Mahalanobis Distance. - Wen-He Chen; Longsheng Cheng; Zhi-Peng Chang; Hanting Zhou; Qi-Feng Yao; Zhai-Ming Peng; Li-Qun Fu 003; Zong-Xiang Chen (Complex., 2022)

Mahalanobis-Taguchi system: a systematic review from theory to application. - Zhai-Ming Peng; Longsheng Cheng; Qi-Feng Yao; Hanting Zhou (J. Control. Decis., 2022)

Condition monitoring of wind turbine using novel deep learning method and dynamic kernel principal components Mahalanobis distance. - Wenhe Chen; Hanting Zhou; Longsheng Cheng; Jing Liu 046; Min Xia 001 (Eng. Appl. Artif. Intell., 2023)

Condition Monitoring and Anomaly Detection of Wind Turbines Using Temporal Convolutional Informer and Robust Dynamic Mahalanobis Distance. - Wenhe Chen; Hanting Zhou; Longsheng Cheng; Min Xia 001 (IEEE Trans. Instrum. Meas., 2023)

Nested Magnetic Field Compensation With Regulated Coefficients for Bio-Magnetic Field Measurement. - Yutong Wei; Longsheng Cheng; Yaqiong Niu; Sitong Chen; Chaofeng Ye (IEEE Trans. Instrum. Meas., 2023)

Reliable and Intelligent Fault Diagnosis With Evidential VGG Neural Networks. - Hanting Zhou; Wenhe Chen; Longsheng Cheng; Darren Williams; Clarence W. de Silva; Min Xia 001 (IEEE Trans. Instrum. Meas., 2023)

Trustworthy Fault Diagnosis With Uncertainty Estimation Through Evidential Convolutional Neural Networks. - Hanting Zhou; Wen-He Chen; Longsheng Cheng; Jing Liu 046; Min Xia 001 (IEEE Trans. Ind. Informatics, 2023)

Intelligent machine fault diagnosis with effective denoising using EEMD-ICA- FuzzyEn and CNN. - Hanting Zhou; Wenhe Chen; Changqing Shen; Longsheng Cheng; Min Xia 001 (Int. J. Prod. Res., 2023)

Dynamic Compensation of Quasi-Static Magnetic Field for Array Optically Pumped Magnetometers. - Yaqiong Niu; Longsheng Cheng; Sitong Chen; Yutong Wei; Chaofeng Ye (IEEE SENSORS, 2024)

Reliable fault diagnosis using evidential aggregated residual network under varying working conditions and noise interference. - Hanting Zhou; Wenhe Chen; Peirui Qiao; Longsheng Cheng; Min Xia 001 (Knowl. Based Syst., 2024)

Trustworthy and intelligent fault diagnosis with effective denoising and evidential stacked GRU neural network. - Hanting Zhou; Wenhe Chen; Jing Liu 046; Longsheng Cheng; Min Xia 001 (J. Intell. Manuf., 2024)

A Novel State-of-Charge Estimation Method for Lithium-Ion Battery Using GDAformer and Online Correction. - Wenhe Chen; Hanting Zhou; Ting Mao; Longsheng Cheng; Min Xia 001 (IEEE Trans. Ind. Informatics, 2024)

Pure rational and non-pure rational decision methods on interval-valued fuzzy soft β-covering approximation spaces. - Shizhan Lu; Longsheng Cheng (Expert Syst. Appl., 2025)

Foundational theories of hesitant fuzzy sets and hesitant fuzzy information systems and their applications for multi-strength intelligent classifiers. - Shizhan Lu; Zeshui Xu; Zhu Fu; Longsheng Cheng; Tongbin Yang (Inf. Sci., 2025)