A Novel One‐Class Convolutional Autoencoder Combined With Excitation–Emission Matrix Fluorescence Spectroscopy for Authenticity Identification of Food
X Yan, B Jia, W Long, K Huang, T Wang… - Journal of …, 2024 - Wiley Online Library
In this work, a novel one‐class classification algorithm one‐class convolutional autoencoder
(OC‐CAE) was proposed for the detection of abnormal samples in the excitation–emission …
(OC‐CAE) was proposed for the detection of abnormal samples in the excitation–emission …
[HTML][HTML] A novel intervention effect-based quadratic time-varying nonlinear discrete grey model for forecasting carbon emissions intensity
L Ye, L Fang, Y Dang, J Wang - Information Sciences, 2024 - Elsevier
In the context of severe global warming, accurately exploring the trend of carbon emissions
intensity (CEI) changes is of great significance for mitigating climate change issues. The …
intensity (CEI) changes is of great significance for mitigating climate change issues. The …
Interval estimation of dynamic liquid level of sucker-rod pumping systems based on dynamometer card
W Liu, J Li, GH Yang, X Gao - Control Engineering Practice, 2024 - Elsevier
This paper is concerned with the interval estimation problem of the dynamic liquid level for
sucker-rod pumping systems via dynamometer cards. Firstly, a surface dynamometer card …
sucker-rod pumping systems via dynamometer cards. Firstly, a surface dynamometer card …
A novel deep learning strategy to optimize Al2O3–SiO2 porous ceramics with phosphate tailings as raw material
Z Sun, N Hu, Y Ye, D Chen, L Gui, R Tang - Ceramics International, 2024 - Elsevier
Abstract The Al 2 O 3–SiO 2 porous ceramics (ASPC) prepared from phosphorus tailings
usually showed a large fluctuation in material properties due to the complex composition of …
usually showed a large fluctuation in material properties due to the complex composition of …