Abstract: This paper introduces a novel hybrid framework, ICEEMDAN-PatchTST+FDPO, which integrates advanced signal decomposition, Transformer-based time series forecasting, and forecast-driven ...
Abstract: Enhanced magnetic memory detection signals often contain numerous environmental interferences. Conventional signal processing methods, such as improved complete ensemble empirical modal ...
Detecting muscle fatigue during lower limb isometric contractions tasks: a machine learning approach
Muscle fatigue represents a primary manifestation of exercise-induced fatigue. Electromyography (EMG) serves as an effective tool for monitoring muscle activity, with EMG signal analysis playing a ...
Accurate wind power prediction can effectively alleviate the pressure of the power system peak frequency regulation, and is more conducive to the economic dispatch of the power system. To enhance wind ...
ABSTRACT: The low-frequency macroeconomic variables are applied to the risk prediction of the “belt and road” concept index. Firstly, the time-varying parameter vector autoregressive model (TVP-VAR) ...
Prediction of runoff trends is a critical topic in hydrological forecasting. Accurate and reliable prediction models are important for the rational use of water resources. This paper proposes a new ...
1 School of Architectural Engineering, Zhongyuan University of Technology, Zhengzhou, China. 2 School of Economics and Management, Zhongyuan University of Technology, Zhengzhou, China. The occurrence ...
School of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China School of Electrical and Electronics Engineering, Nanyang Technological University, 50 Nanyang ...
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