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EventTracker Based Regression Prediction with Application to Composite Sensitive Microsensor Parameter Prediction

Hongrong Wang Xinjian Li Xingjing She Wenjian Ma

Computer Modeling in Engineering & Sciences2025，Vol.145Issue(11)：P.2039-2055,17.

Computer Modeling in Engineering & Sciences2025，Vol.145Issue(11)：P.2039-2055,17.DOI:10.32604/cmes.2025.072572

EventTracker Based Regression Prediction with Application to Composite Sensitive Microsensor Parameter Prediction

Hongrong Wang ¹Xinjian Li ²Xingjing She ³Wenjian Ma³

作者信息

1. University of Electronic Science and Technology of China,Chengdu,611731,China Sichuan Provincial Institute of Forest and Grassland Survey and Planning,Chengdu,610081,China
2. Guangxi University,Nanning,530004,China Guangxi Institute of Industrial Technology for Space-Time Information Co.,Ltd.,Nanning,530201,China
3. University of Electronic Science and Technology of China,Chengdu,611731,China
折叠

摘要

关键词

Event tracking sensitivity analysis/real-time regression prediction/mutual information/feature selection/LightGBM/composite sensitive microsensor

分类

信息技术与安全科学

引用本文复制引用

Hongrong Wang,Xinjian Li,Xingjing She,Wenjian Ma..EventTracker Based Regression Prediction with Application to Composite Sensitive Microsensor Parameter Prediction[J].Computer Modeling in Engineering & Sciences,2025,145(11):P.2039-2055,17.

基金项目

financial support from the National Natural Science Foundation of China(Grants No.U2330206,No.U2230206,and No.62173068) （Grants No.U2330206,No.U2230206,and No.62173068）

the Natural Science Foundation of Guangxi Province(Grant No.AB24010157) （Grant No.AB24010157）

the Sichuan Forestry and Grassland Bureau(Grant Nos.G202206012 and G202206012-2) （Grant Nos.G202206012 and G202206012-2）

Sichuan Science and Technology Program(Grant Nos.2024NSFSC1483,2024ZYD0156,2023NSFC1962,and DQ202412). （Grant Nos.2024NSFSC1483,2024ZYD0156,2023NSFC1962,and DQ202412）

Computer Modeling in Engineering & Sciences

ISSN：1526-1492

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