Research and Application Validation of a Feature Wavelength Selection Method Based on Acousto-Optic Tunable Filter (AOTF) and Automatic Machine Learning (AutoML)
Near-infrared spectroscopy has been widely applied in various fields such as food analysis and agricultural testing. However, the conventional method of scanning the full spectrum of the sample and then invoking the model to analyze and predict results has a large amount of collected data, redundant...
Main Authors: | Zhongpeng Ji, Zhiping He, Yuhua Gui, Jinning Li, Yongjian Tan, Bing Wu, Rui Xu, Jianyu Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-04-01
|
Series: | Materials |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1944/15/8/2826 |
Similar Items
-
AutoML Approach to Stock Keeping Units Segmentation
by: Ilya Jackson
Published: (2022-11-01) -
Multimodal AutoML via Representation Evolution
by: Blaž Škrlj, et al.
Published: (2022-12-01) -
Comparisons of automated machine learning (AutoML) in predicting whistleblowing of academic dishonesty with demographic and theory of planned behavior
by: Rahayu Abdul Rahman, et al.
Published: (2023-12-01) -
Assisting Educational Analytics with AutoML Functionalities
by: Spyridon Garmpis, et al.
Published: (2022-06-01) -
AutoFL: Towards AutoML in a Federated Learning Context
by: Davy Preuveneers
Published: (2023-07-01)