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QuenchML: A semantics-preserving markup language for knowledge representation in quenching.

, , и . Artif. Intell. Eng. Des. Anal. Manuf., 27 (1): 65-82 (2013)

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Mohammed Mohammed

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Mohammed Hamed Mohammed

 

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LearnMet: learning domain-specific distance metrics for plots of scientific functions., , , , и . Multimedia Tools Appl., 35 (1): 29-53 (2007)Integrating Clustering and Classification for Estimating Process Variables in Materials Science., , , , , и . AAAI, AAAI Press, (2006)QuenchMinerTM: Decision Support for Optimization of Heat Treating Processes., , , , , и . IICAI, стр. 993-1002. IICAI, (2003)Semantic Extensions to Domain-Specific Markup Languages., , , , и . CCCT (2), стр. 55-60. The International Institute of Informatics and Systemics (IIIS), (2004)QuenchML: A semantics-preserving markup language for knowledge representation in quenching., , и . Artif. Intell. Eng. Des. Anal. Manuf., 27 (1): 65-82 (2013)A Low-Cost Method to Prepare Biocompatible Filaments with Enhanced Physico-Mechanical Properties for FDM 3D Printing, , , и . Current Drug Delivery, 8 (16): 700-711 (2021)Apriori algorithm and game-of-life for predictive analysis in materials science., , , , , и . Int. J. Knowl. Based Intell. Eng. Syst., 8 (4): 213-228 (2004)Learning semantics-preserving distance metrics for clustering graphical data., , , , и . MDM@KDD, стр. 107-112. ACM, (2005)Designing semantics-preserving cluster representatives for scientific input conditions., , , , , и . CIKM, стр. 708-717. ACM, (2006)Comparing mathematical and heuristic approaches for scientific data analysis., , , , , и . Artif. Intell. Eng. Des. Anal. Manuf., 22 (1): 53-69 (2008)