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Word cloudA 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.
Al-Maskari, S., Belisle, È., Li, X., Le Digabel, S., Nawahda, A., & Zhong, J. (2016, April). Classification with quantification for air quality monitoring [Paper]. 20th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining (PAKDD 2016), Auckland, New Zealand. External link
Bale, C. W., Belisle, È., Chartrand, P., Decterov, S., Eriksson, G. E., Gheribi, A. E., Hack, K., Jung, I.-H., Kang, Y.-B., Melancon, J., Pelton, A., Petersen, S., Robelin, C., Sangster, J., Spencer, P. J., & Van Ende, M. A. (2016, February). Reprint of: FactSage thermochemical software and databases, 2010-2016 (vol 54, pg 35, 2016) [Paper]. Christopher W. Bale Symposium, Nashville, TN, USA (19 pages). Published in CALPHAD: Computer Coupling of Phase Diagrams and Thermochemistry, 55(1). External link
Belisle, È., Huang, Z., & Gheribi, A. E. (2015, June). Truth Discovery in Material Science Databases [Paper]. 26th Australasian Database Conference (ADC 2015), Melbourne, Australia. External link
Bale, C. W., Belisle, È., Chartrand, P., Decterov, S., Eriksson, G. E., Gheribi, A. E., Hack, K., Jung, I.-H., Melancon, J., Pelton, A., Petersen, S., & Robelin, C. (2014, February). Recent developments in FactSage thermochemical software and databases [Paper]. Celebrating the Megascale: Extraction and Processing Division Symposium on Pyrometallurgy in Honor of David G.C. Robertson - TMS 2014 143rd Annual Meeting and Exhibition, Orlando, Florida. External link
Bale, C. W., Belisle, È., Chartrand, P., Decterov, S., Eriksson, G. E., Hack, K., Jung, I.-H., Kang, Y.-B., Melancon, J., Pelton, A., Robelin, C., & Petersen, S. (2009). FactSage thermochemical software and databases - recent developments. CALPHAD: Computer Coupling of Phase Diagrams and Thermochemistry, 33(2), 295-311. External link
Gheribi, A. E., Pelton, A., Belisle, È., Le Digabel, S., & Harvey, J.-P. (2018). On the prediction of low-cost high entropy alloys using new thermodynamic multi-objective criteria. ACTA Materialia, 161, 73-82. External link
Gheribi, A. E., Harvey, J.-P., Chartrand, P., Belisle, È., Bale, C. W., & Pelton, A. (2016, February). Identifying optimal conditions for alloys and process design using the Mesh Adaptive Direct Search algorithm [Presentation]. In 145th TMS Annual Meeting & Exhibition (TMS 2016), Nashville, TN, USA. Unavailable
Gheribi, A. E., Audet, C., Le Digabel, S., Belisle, È., Bale, C. W., & Pelton, A. (2012). Calculating Optimal Conditions for Alloy and Process Design Using Thermodynamic and Property Databases, the Fact Sage Software and the Mesh Adaptive Direct Search Algorithm. Calphad-Computer Coupling of Phase Diagrams and Thermochemistry, 36, 135-143. External link
Gheribi, A. E., Chartrand, P., Belisle, È., Bale, C. W., Jin, L., & Pelton, A. (2012, July). Identifying optimal conditions for Mg alloy design using thermodynamic and properties databases, the Factsage software and the mesh adaptive direct searches algorithm [Paper]. 9th International Conference on Magnesium Alloys and Their Applications (Mg2012), Vancouver, Canada. Unavailable
Gheribi, A. E., Audet, C., Le Digabel, S., Belisle, È., & Pelton, A. (2010). Calculating Optimal Conditions for Alloy and Process Design Using Thermodynamic and Properties Databases, the FactSage Software and the Mesh Adaptive Direct Search (MADS) Algorithm. (Technical Report n° G-2010-77). External link
Kim, W.-Y., Pelton, A., Bale, C. W., Belisle, È., & Decterov, S. (2013). Modeling the viscosity of silicate melts containing manganese oxide. Journal of Mining and Metallurgy, Section B: Metallurgy, 49(3), 323-337. Available
