Jürgen Kasberger

2.5.4 Reliable Online-Prediction of Characteristic Process Parameters by FTNIR-Spectroscopic Analysis

Wolfram Summerer, Marcin Pwaliczek, Jürgen Kasberger, 2012 .

Incremental and decremental active learning for optimized self-adaptive calibration in viscose production

Edwin Lughofer, Jürgen Kasberger, Peter Hintenaus, 2014 .

Dynamic Quantification of Process Parameters in Viscose Production with Evolving Fuzzy Systems

Edwin Lughofer, Jürgen Kasberger, Peter Hintenaus, 2012, IPMU.

NIR-based quantification of process parameters in polyetheracrylat (PEA) production using flexible non-linear fuzzy systems

Edwin Lughofer, Jürgen Kasberger, Wolfgang Märzinger, 2011 .

Hybrid adaptive calibration methods and ensemble strategy for prediction of cloud point in melamine resin production

Edwin Lughofer, Jürgen Kasberger, Peter Hintenaus, 2013 .

Ensembled Self-Adaptive Fuzzy Calibration Models for On-line Cloud Point Prediction

Edwin Lughofer, Jürgen Kasberger, Peter Hintenaus, 2013, EUSFLAT Conf..

Workflow for multi-analyte bioprocess monitoring demonstrated on inline NIR spectroscopy of P. chrysogenum fermentation

Jürgen Kasberger, Christoph Herwig, Markus Brandstetter, 2016, Analytical and Bioanalytical Chemistry.

Evolving chemometric models for predicting dynamic process parameters in viscose production.

Edwin Lughofer, Jürgen Kasberger, Peter Hintenaus, 2012, Analytica chimica acta.