Search Results - "Wienke, Dietrich"

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  1. 1

    Polymerization and Network Formation of UV-Curable Systems Monitored by Hyphenated Real-Time Dynamic Mechanical Analysis and Near-Infrared Spectroscopy by Steeman, Paul A. M, Dias, Aylvin A, Wienke, Dietrich, Zwartkruis, Theo

    Published in Macromolecules (07-09-2004)
    “…Hyphenated rapid real-time dynamic mechanical analysis (RT-DMA) and time-resolved near-infrared spectroscopy (RT-NIRS) have allowed simultaneous monitoring of…”
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    Journal Article
  2. 2

    Real-Time Infrared Determination of Photoinitiated Copolymerization Reactivity Ratios:  Application of the Hilbert Transform and Critical Evaluation of Data Analysis Techniques by Jansen, Johan F. G. A, Houben, Erwin E. J. E, Tummers, Peter H. G, Wienke, Dietrich, Hoffmann, John

    Published in Macromolecules (23-03-2004)
    “…The reactivity ratios of various UV-copolymerizing systems were determined employing RT-FTIR spectroscopy, combined with advanced and alternative…”
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    Journal Article
  3. 3

    Adaptive resonance theory based neural network for supervised chemical pattern recognition (FuzzyARTMAP) Part 1: Theory and network properties by Wienke, Dietrich, Buydens, Lutgarde

    “…The FuzzyARTMAP algorithm is studied with respect to its usefulness for supervised chemical pattern recognition. The theory of this relatively complex…”
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    Journal Article
  4. 4

    Evaluation of advanced data analysis techniques on time resolved FT-IR spectroscopy data of photo-copolymerization reactions by Tummers, Peter H.G., Houben, Erwin J.E., Jansen, Johan F.G.A., Wienke, Dietrich

    Published in Vibrational spectroscopy (16-01-2007)
    “…Time resolved FT-IR spectroscopy in combination with various data analysis techniques has been employed to determine the kinetics of photo-copolymerization…”
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    Journal Article
  5. 5

    Near-Infrared Spectroscopic Monitoring of a Series of Industrial Batch Processes Using a Bilinear Grey Model by Van Sprang, Eric N. M., Ramaker, Henk-Jan, Westerhuis, Johan A., Smilde, Age K., Gurden, Stephen P., Wienke, Dietrich

    Published in Applied spectroscopy (01-08-2003)
    “…A good process understanding is the foundation for process optimization, process monitoring, end-point detection, and estimation of the end-product quality…”
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    Journal Article
  6. 6

    Analysis of Ternary Mixtures with a Single Dynamic Microbial Sensor and Chemometrics Using a Nonlinear Multivariate Calibration by Plegge, Volker, Slama, Michael, Süselbeck, Benno, Wienke, Dietrich, Spener, Friedrich, Knoll, Meinhard, Zaborosch, Christiane

    Published in Analytical chemistry (Washington) (01-07-2000)
    “…An amperometric biosensor based on immobilized bacterial cells of Alcaligenes eutrophus KT02 and an oxygen electrode was integrated in a flow-through system…”
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    Journal Article
  7. 7

    Chemometrical studies on mixture analysis with a single dynamic microbial sensor by Slama, Michael, Zaborosch, Christiane, Wienke, Dietrich, Spener, Friedrich

    Published in Sensors and actuators. B, Chemical (01-10-1997)
    “…A bacterial pure culture of Alclaligenos eutrophus KT02 was immobilized and integrated as a sensor in an amperometrical flow-through system (`dynamic microbial…”
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    Journal Article Conference Proceeding
  8. 8

    Adaptive resonance theory based neural networks — the ‘ART’ of real-time pattern recognition in chemical process monitoring? by Wienke, Dietrich, Buydens, Lutgarde

    “…The family of artificial neural networks based on Adaptive Resonance Theory (ART) forms a collection of distinct mathematical pattern recognition methods. The…”
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    Journal Article
  9. 9

    Simultaneous Mixture Analysis Using a Dynamic Microbial Sensor Combined with Chemometrics by Slama, Michael, Zaborosch, Christiane, Wienke, Dietrich, Spener, Friedrich

    Published in Analytical chemistry (Washington) (01-11-1996)
    “…A biosensor consisting of immobilized microbial cells and an oxygen electrode was used in a flow-through system as a microbial sensor flow injection analyzer…”
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    Journal Article
  10. 10

    Airborne Particle Classification with a Combination of Chemical Composition and Shape Index Utilizing an Adaptive Resonance Artificial Neural Network by Xie, Ying, Hopke, Philip K, Wienke, Dietrich

    Published in Environmental science & technology (01-10-1994)
    “…A dynamic classification system built on a form of neural networks was developed and tested for single-particle classification based on composition and shape…”
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    Journal Article
  11. 11

    On the use of recent developments in vibrational spectroscopic instrumentation in an industrial environment: quicker, smaller and more robust by Kip, Bert J, Berghmans, Ton, Palmen, Peter, van der Pol, André, Huys, Michel, Hartwig, Holger, Scheepers, Martine, Wienke, Dietrich

    Published in Vibrational spectroscopy (01-09-2000)
    “…In recent years, considerable developments have taken place in Raman, mid-infrared (mid-IR) and near-infrared (NIR) instrumentation. This has had a major…”
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    Journal Article
  12. 12

    Classification of airborne particles by analytical scanning electron microscopy imaging and a modified Kohonen neural network (3MAP) by Wienke, Dietrich, Xie, Ying, Hopke, Philip K.

    Published in Analytica chimica acta (25-06-1995)
    “…A projection of Prim's minimal spanning tree into a Kohonen neural network provided a method for visual unsupervised chemical pattern recognition. Digitized…”
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    Journal Article
  13. 13

    Quality Self-Monitoring of Intelligent Analyzers and Sensors Based on an Extended Kalman Filter: An Application to Graphite Furnace Atomic Absorption Spectroscopy by Wienke, Dietrich, Vijn, Theo, Buydens, Lutgarde

    Published in Analytical chemistry (Washington) (15-03-1994)
    “…A method for on-line quality self-monitoring for automatical operating but drifting analytical sensors is presented. The method is based on an on-line state…”
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    Journal Article
  14. 14

    Visual Neural Mapping Technique for Locating Fine Airborne Particles Sources by Wienke, Dietrich, Hopke, Philip K

    Published in Environmental science & technology (01-06-1994)
    “…A receptor modeling approach combining a self-organizing neural network and a minimal spanning tree was used to identify the nature of airborne fine particle…”
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    Journal Article
  15. 15

    Multiple Site Receptor Modeling with a Minimal Spanning Tree Combined with a Neural Network by Wienke, Dietrich, Gao, Ning, Hopke, Philip K

    Published in Environmental science & technology (01-06-1994)
    “…A receptor model that combines neural networks and the minimal spanning tree was used to identify the nature and tentative location of particle sources in the…”
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    Journal Article
  16. 16

    ART 2-A for Optimal Test Series Design in QSAR by Domine, Daniel, Devillers, James, Wienke, Dietrich, Buydens, Lutgarde

    “…The family of adaptive resonance theory (ART) based systems concerns distinct artificial neural networks for unsupervised and supervised clustering analysis…”
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    Journal Article
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