Molecular (Raman, NIR, and FTIR) spectroscopy and multivariate analysis in consumable products analysis1

SO Fakayode, GA Baker, DK Bwambok… - Applied Spectroscopy …, 2020 - Taylor & Francis
Ensuring the integrity of quality control and assurance of consumable products across
consumer goods distribution and supply chains is pertinent to ensure consumer products of …

The brewing industry and the opportunities for real-time quality analysis using infrared spectroscopy

G Fox - Applied Sciences, 2020 - mdpi.com
Brewing is an ancient process which started in the middle east over 10,000 years ago. The
style of beer varies across the globe but modern brewing is very much the same regardless …

Chemometric methods in analytical spectroscopy technology

Y Huang - Chemometric Methods in Analytical Spectroscopy …, 2022 - Springer
In recent decades, with the rapid development of artificial intelligence, data mining, and
cloud computing, new chemometric methods have sprung up and become one of the fastest …

Spectroscopic approaches for rapid beer and wine analysis

J Chapman, S Gangadoo, VK Truong… - Current Opinion in Food …, 2019 - Elsevier
Highlights•Several analytical applications of beer and wine are possible due to advances
and development in vibrational spectroscopy.•Low cost, easy to use and portable …

Calibration model maintenance in melamine resin production: Integrating drift detection, smart sample selection and model adaptation

R Nikzad-Langerodi, E Lughofer, C Cernuda… - Analytica Chimica …, 2018 - Elsevier
The physico-chemical properties of Melamine Formaldehyde (MF) based thermosets are
largely influenced by the degree of polymerization (DP) in the underlying resin. On-line …

On the relevance of preprocessing in predictive maintenance for dynamic systems

C Cernuda - Predictive maintenance in dynamic systems: Advanced …, 2019 - Springer
The complexity involved in the process of real-time data-driven monitoring dynamic systems
for predicted maintenance is usually huge. Up to certain extent, any data-driven approach is …

Robust generalized fuzzy systems training from high-dimensional time-series data using local structure preserving PLS

E Lughofer, R Nikzad-Langerodi - IEEE Transactions on Fuzzy …, 2019 - ieeexplore.ieee.org
Establishing fuzzy models from time-series data with predictive capabilities for numerical
targets typically requires dimension reduction techniques to overcome the severe curse of …

Latent‐lSVM classification of very high‐dimensional and large‐scale multi‐class datasets

TN Do, F Poulet - Concurrency and Computation: Practice and …, 2019 - Wiley Online Library
We propose a new parallel learning algorithm of latent local support vector machines (SVM),
called latent‐lSVM for effectively classifying very high‐dimensional and large‐scale multi …

[PDF][PDF] Determination of free amino nitrogen in beer mash with an inline NIR transflectance probe and data evaluation by machine learning algorithms.

P Wefing, F Conradi, J Rämisch, P Neubauer… - Brewing …, 2021 - researchgate.net
Free amino nitrogen (FAN) is an important quality parameter in the field of beer production [1–
4]. It is generated during malting, extracted during mashing and usually analysed in the …

Additive partial least squares for efficient modelling of independent variance sources demonstrated on practical case studies

P Luoma, T Natschläger, B Malli, M Pawliczek… - Analytica Chimica …, 2018 - Elsevier
A model recalibration method based on additive Partial Least Squares (PLS) regression is
generalized for multi-adjustment scenarios of independent variance sources (referred to as …