Introduction to the Special Issue on Machine Learning-Guided Intelligent Modeling with Its Industrial Applications

Bertolini M, Mezzogori D, Neroni M, Zammori F. Machine learning for industrial applications: a comprehensive literature review. Expert Syst Appl. 2021;175:114820.

Carter A, Imtiaz S, Naterer GF. Review of interpretable machine learning for process industries. Process Saf Environ Prot. 2023;170:647–59.

Soori M, Arezoo B, Dastres R. Artificial intelligence, machine learning and deep learning in advanced robotics, a review. Cogn Robot. 2023;3:54–70.

Jan Z, Ahamed F, Mayer W, Patel N, Grossmann G, Stumptner M, et al. Artificial intelligence for Industry 4.0: systematic review of applications, challenges, and opportunities. Expert Syst Appl. 2023;216:119456.

Cheng G, Yuan X, Yao X, Yan K, Zeng Q, Xie X, et al. Towards large-scale small object detection: survey and benchmarks. IEEE Trans Pattern Anal Mach Intell. 2023;45(11):13467–88.

Gao Y, Yin X, He Z, Wang X. A deep learning process anomaly detection approach with representative latent features for low discriminative and insufficient abnormal data. Comput Ind Eng. 2023;176:108936.

Yang P, Luo X, Sun J. A simple but effective method for balancing detection and re-identification in multi-object tracking. IEEE Trans Multimedia. 2022;25:7456–68.

Kamm S, Veekati SS, Müller T, Jazdi N, Weyrich M. A survey on machine learning based analysis of heterogeneous data in industrial automation. Comput Ind. 2023;149:103930.

Zhu Q, Gu L, Lin H. An image fingerprint and attention mechanism based load estimation algorithm for electric power system. Comput Model Eng Sci. 2024;140(1):577–91. doi:10.32604/cmes.2023.043307.

Shi W, Zhang S, Zhang S. CAW-YOLO: cross-layer fusion and weighted receptive field-based YOLO for small object detection in remote sensing. Comput Model Eng Sci. 2024;139(3):3209–31. doi:10.32604/cmes.2023.044863.

Li C, Liu L, Zhao J, Liu X. LF-CNN: deep learning-guided small sample target detection for remote sensing classification. Comput Model Eng Sci. 2022;131(1):429–44. doi:10.32604/cmes.2022.019202.

Zhang L, Gu Y, Peng J. Heterophilic graph neural network based on spatial and frequency domain adaptive embedding mechanism. Comput Model Eng Sci. 2024;139(2):1701–31. doi:10.32604/cmes.2023.045129.

Zhang S, Weng L. STPGTN–a multi-branch parameters identification method considering spatial constraints and transient measurement data. Comput Model Eng Sci. 2023;136(3):2635–54. doi:10.32604/cmes.2023.025405.

Zhao Z, Luo X, Chen M, Ma L. A survey of knowledge graph construction using machine learning. Comput Model Eng Sci. 2024;139(1):225–57. doi:10.32604/cmes.2023.031513.

Liao Z, Zhang B, Huang X, Yu S, Zhang Y. Code reviewer intelligent prediction in open source industrial software project. Comput Model Eng Sci. 2023;137(1):687–704. doi:10.32604/cmes.2023.027466.

Zhang Y, Yu Q, Zhang L. User purchase intention prediction based on improved deep forest. Comput Model Eng Sci. 2024;139(1):661–77. doi:10.32604/cmes.2023.044255.

Wang H, Cai Y. A fast small-sample modeling method for precision inertial systems fault prediction and quantitative anomaly measurement. Comput Model Eng Sci. 2022;130(1):187–203. doi:10.32604/cmes.2022.018000.

Qian H, Wang H, Wang G, Yan Q. Research on condenser deterioration evolution trend based on ANP-EWM fusion health degree. Comput Model Eng Sci. 2024;139(1):679–98. doi:10.32604/cmes.2023.043377.

Liu H, Wang W, Liu H, Yi S, Yu Y, Yao X. A degradation type adaptive and deep CNN-based image classification model for degraded images. Comput Model Eng Sci. 2024;138(1):459–72. doi:10.32604/cmes.2023.029084.

Liu Z, Wang S, Zhao J, Hao J, Yu F. Role dynamic allocation of human-robot cooperation based on reinforcement learning in an installation of curtain wall. Comput Model Eng Sci. 2024;138(1):473–87. doi:10.32604/cmes.2023.029729.

Xu C, Zhu H, Zhu H, Wang J, Zhao Q. Improved RRT^* algorithm for automatic charging robot obstacle avoidance path planning in complex environments. Comput Model Eng Sci. 2023;137(3):2567–91. doi:10.32604/cmes.2023.029152.

Cheng R, Yin X, Chen L. Machine learning enhanced boundary element method: prediction of gaussian quadrature points. Comput Model Eng Sci. 2022;131(1):445–64. doi:10.32604/cmes.2022.018519.

Wang L, Sun J, Luo X, Yang X. Transferable features from 1D-convolutional network for industrial malware classification. Comput Model Eng Sci. 2022;130(2):1003–16. doi:10.32604/cmes.2022.018492.