ENDBOSS: Industrial endpoint detection using batch-specific control spaces of spectroscopic data

Author:

Offermans Tim,Wijker Terry-Hale,Folcarelli Rita,Heemskerk Rudi,Lamers Packo P.,Proença Maria,Tran Thanh N.,Buydens Lutgarde M.C.,Jansen Jeroen J.

Funder

TKI-E&I

Ministry of Economic Affairs and Climate Policy

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Fault-Tolerant Soft Sensor Algorithm Based on Long Short-Term Memory Network for Uneven Batch Process;Processes;2024-02-28

2. The role of biospectroscopy and chemometrics as enabling technologies for upcycling of raw materials from the food industry;Analytica Chimica Acta;2023-12

3. Batch Endpoint Prediction using Local Mixture of Batch Time Experts;2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE);2022-10-26

4. Near Infrared Spectroscopic Quantification Using Firefly Wavelength Interval Selection Coupled with Partial Least Squares;Sense the Real Change: Proceedings of the 20th International Conference on Near Infrared Spectroscopy;2022

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