A review of machine learning for near-infrared spectroscopy

W Zhang, LC Kasun, QJ Wang, Y Zheng, Z Lin - Sensors, 2022 - mdpi.com
The analysis of infrared spectroscopy of substances is a non-invasive measurement
technique that can be used in analytics. Although the main objective of this study is to …

Energetic, economic and environmental (3E) multi-objective optimization of the back-end separation of ethylene plant based on adaptive surrogate model

M Dai, F Yang, Z Zhang, G Liu, X Feng - Journal of Cleaner Production, 2021 - Elsevier
Ethylene separation is an important part in olefin production process, but it brings about high
energy consumption and emissions. Therefore, the energetic, economic and environmental …

[PDF][PDF] Can Tabular Generative Models Generate Realistic Synthetic Near Infrared Spectroscopic Data?

I Finnøy - 2023 - nmbu.brage.unit.no
In this thesis, we evaluated the performance of two generative models, Conditional Tabular
Gen-erative Adversarial Network (CTGAN) and Tabular Variational Autoencoder (TVAE) …