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This graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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A word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Bauer, M., Chioua, M., Schilling, J., Sand, G., & Harjunkoski, I. (2009, July). Profitability and Re-usability: An Example of a Modular Model for Online Optimization [Paper]. 7th IFAC Symposium on Advanced Control of Chemical Processes, Istanbul, Turkey. Published in IFAC Proceedings Volumes, 42(11). External link
Chioua, M., Bauer, M., Chen, S.-L., Schlake, J. C., Sand, G., Schmidt, W., & Thornhill, N. F. (2016). Plant-wide root cause identification using plant key performance indicators (KPIs) with application to a paper machine. Control Engineering Practice, 49, 149-158. External link
Lindner, B., Chioua, M., Groenewald, J. W. D., Auret, L., & Bauer, M. (2018, August). Diagnosis of Oscillations in an Industrial Mineral Process Using Transfer Entropy and Nonlinearity Index⁎⁎The authors gratefully acknowledge the support of Anglo American Platinum [Paper]. 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS 2018), Warsaw, Poland. Published in IFAC-PapersOnLine, 51(24). External link
Zhou, B., Chioua, M., Bauer, M., Schlake, J. C., & Thornhill, N. F. (2019). Improving Root Cause Analysis by Detecting and Removing Transient Changes in Oscillatory Time Series with Application to a 1,3-Butadiene Process. Industrial & Engineering Chemistry Research, 58(26), 11234-11250. External link