Research on Human Activity Behavior Recognition Technology Based on LGBM Model-Reference-Cited by-同舟云学术

Research on Human Activity Behavior Recognition Technology Based on LGBM Model

Published:2023-08-18 Issue: Volume: Page:
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Container-title:2023 IEEE International Conference on Sensors, Electronics and Computer Engineering (ICSECE)
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Author:

Hu Jie¹,Cao Baixi¹,Zhao Jianxin¹,Chen Yu¹

Affiliation:

1. Hangzhou Dianzi University,Hangzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10262400/10262878/10263297.pdf?arnumber=10263297

Reference8 articles.

1. Joint Orthomax Rotation of the Core and Component Matrices Resulting from Three-mode Principal Components Analysis

2. Principal Component Analysis of Complex Multijoint Coordinative Movements

3. Fault Diagnosis of Bevel Gears Using Neural Pattern Recognition and MLP Neural Network Algorithms [J];kele?o?lu;International Journal of Precision Engineering and Manufacturing,2020

4. Classification of ECG beats using optimized decision tree and adaptive boosted optimized decision tree

5. A new elite opposite sparrow search algorithm-based optimized LightGBM approach for fault diagnosis [J];fang;Journal of Ambient Intelligence and Humanized Computing,2022

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