Research on the Rapid Detection of Formaldehyde Emission From Wood-Based Panels Based on the AMSHKELM
To enable quick and accurate detection of formaldehyde emissions from wood-based panels and to address the complexities of the full-scale chamber method and the inaccuracy of sensor-based methods, a modified formaldehyde emission model based on AdaBoost-MSBKA-SVMD-HKELM (AMSHKELM) is proposed. This...
Saved in:
Main Authors: | Yinuo Wang, Huanqi Zheng, Hua Wang, Yucheng Zhou |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10663759/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Assessment of resilient modulus of soil using hybrid extreme gradient boosting models
by: Xiangfeng Duan
Published: (2024-12-01) -
Determination of the Properties of Medium-Density Fiberboards Produced Using Urea-Formaldehyde Resins Modified with Boron Compounds
by: Recai Arslan, et al.
Published: (2025-01-01) -
Formaldehyde Content in Indonesian Food and the Analysis Method: A Review
by: Anggita Rosiana Putri, et al.
Published: (2024-04-01) -
Evaluation of Ozone Formation Potential of Formaldehyde Using Smog Chamber Data
by: Hailiang Zhang, et al.
Published: (2023-02-01) -
Indoor Visible Light 3D Localization System Based on Black Wing Kite Algorithm
by: Jiahui Wang, et al.
Published: (2025-01-01)