使用级联模糊森林的肌肉疲劳下 sEMG-FMG 传感器混合融合方法

IF 10.7 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE IEEE Transactions on Fuzzy Systems Pub Date : 2024-11-25 DOI:10.1109/tfuzz.2024.3505260
Yinfeng Fang, Lingfeng Wu, Xixia Yu, Yong Peng, Yuxing Wang, Zhaojie Ju
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A Hybrid sEMG-FMG Sensor Fusion Approach Under Muscle Fatigue Using Cascade Fuzzy Forest
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来源期刊
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems 工程技术-工程:电子与电气
CiteScore
20.50
自引率
13.40%
发文量
517
审稿时长
3.0 months
期刊介绍: The IEEE Transactions on Fuzzy Systems is a scholarly journal that focuses on the theory, design, and application of fuzzy systems. It aims to publish high-quality technical papers that contribute significant technical knowledge and exploratory developments in the field of fuzzy systems. The journal particularly emphasizes engineering systems and scientific applications. In addition to research articles, the Transactions also includes a letters section featuring current information, comments, and rebuttals related to published papers.
期刊最新文献
Distilling Complex Knowledge Into Explainable T-S Fuzzy Systems Adaptive Fuzzy Tracking Control for a class of Uncertain Nonlinear Systems with Improved Prescribed Performance A Hybrid sEMG-FMG Sensor Fusion Approach Under Muscle Fatigue Using Cascade Fuzzy Forest Fault Detection for Interval Type-2 Fuzzy Markov Jump Systems With Medium Access Constraints and False Data Injection Attacks Time Series Forecasting Based on Improved Multi-Linear Trend Fuzzy Information Granules for Convolutional Neural Networks
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