2 results match your criteria: "Fuzhou University Town[Affiliation]"
Improved empirical mode decomposition bagging RCSP combined with Fisher discriminant method for EEG feature extraction and classification.
Heliyon
April 2024
College of Electrical Engineering and Automation Fuzhou University, NO.2, Wulong Jiangbei Avenue, Fuzhou University Town, Minhou, Fuzhou City, Fujian Province, China.
Background: Traditional Common Spatial Pattern (CSP) algorithms for Electroencephalogram (EEG) signal classification are sensitive to noise and can produce low accuracy in small sample datasets.
New Method: To solve the problem, an improved Empirical Mode Decomposition (EMD) Bagging Regularized CSP (RCSP) algorithm is proposed. It filters EEG signals through improved EMD, inhibits high-frequency noise, retains effective information in the characteristic frequency band, and uses Bagging algorithm for data reconstruction.
Karst tiankeng shapes the differential composition and structure of bacterial and fungal communities in karst land.
Environ Sci Pollut Res Int
March 2023
College of Environment and Safety Engineering, Fujian Province, Fuzhou University, Fuzhou University Town, No. 2 Wulongjiang North Avenue, Fuzhou City, People's Republic of China.
Karst tiankeng are important biodiversity conservation reservoirs. However, the unique habitats of karst tiankeng affect microbial community structure remained poorly understood. In this study, we collected soil samples from karst tiankeng (TK) and karst land (KL) and subjected to high-throughput sequencing.
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