… This review starts with data preprocessing and the introduction of different machine learning
… Then, some successful cases of applying machine learning methods in the field of steel …

… A just-in-time-learning-aided canonical correlation analysis method for multimode process
monitoring and fault detection[J]. IEEE Transactions on Industrial Electronics, 2021, 68(6): …

… To address these problems, we propose a tracking algorithm that is aided by target recognition
based on deep learning. Methods The proposed method solves problems with tracking …

… uses the knowledge map method and representative papers collected from cutting-edge
research literature to conduct appropriate analysis, comparison, and summary so as to study …

… Machine learning techniques for optical performance monitoring from directly detected
PDM-QAM … tion of machine-learning-aided detection and identification of jamming attacks in …

自动驾驶车联网中通感算融合研究综述与展望马忠贵李卓梁彦鹏Overview and prospect of …
Overview and prospect of communication-sensing-computing integration for autonomous …

… The build quality and efficiency could be further improved by designing machine structures
and predicting the process–property relationship. This review provides a significant guide for …

… on machine learning predictions and optimization design. Following a brief description of
feature … relationships, microstructure, and material performance are reviewed. This paper also …

… The machine learning-aided algorithms and the statistical analysis implemented on these
studies provided some quite promising results in dielectric property characterization of tissues. …

: 移动通信技术走过了37 年的发展历程, 人工智能技术也已走过了64 年的发展历程. 从早期的各自
独立演进, 到5G 与人工智能开始深度融合发展,“5G 与人工智能” 已被业界视为一组最新的通用…