International Journal of Rock Mechanics and Mining SciencesAmoussou Coffi Adoko, Candan Gokceoglu, Li W., "Knowledge- based and data-driven fuzzy modeling for rockburst prediction, International Journal of Rock Mechanics and Mining Sciences, Volume 61, Pages 86-95, July, 2013....
Collective intelligence (CI) shows promising application prospects. Current research methodologies of intelligent decision making for CI systems can be categorized as knowledge-based and data-driven methods, both showing inherent advantages and disadvant
In the first set of experiments, we respectively use local search algorithm, expert knowledge, and hybrid method to train the BN models — hereafter termed as LS-BN, EK-BN, and H-BN respectively. We compare the Conclusion This study proposed a hybrid knowledge-based and data-driven approach...
Deep learning-based molecular generation has extensive applications in many fields, particularly drug discovery. However, the majority of current deep generative models are ligand-based and do not consider chemical knowledge in the molecular generation process, often resulting in a relatively low success...
Sports have gradually gained popularity, and the risks associated with them have risen as well. In today’s world, college students are a diverse population, and sports are very popular among them. Th...
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This transition drives small- and medium-sized enterprises (SME) to move from intuitive to data-driven decision-making. We examine how SMEs can leverage data as a strategic knowledge asset during this transformation. Drawing from knowledge-based theory and analysing insights from 200 companies, we ...
Accurate and cost-effective quantification of the carbon cycle for agroecosystems at decision-relevant scales is critical to mitigating climate change and ensuring sustainable food production. However, conventional process-based or data-driven modeling approaches alone have large prediction uncertainties due ...
Towards data-driven sustainable design: decision support based on knowledge discovery in disparate building dataTowards data-driven sustainable design: decision support based on knowledge discovery in disparate building dataSustainable building design requires an interplay between multidisciplinary input and fulfi...
Monitoring data related to 1,2-DCE were used to generate isoconcentration models, differentiated by contamination levels. The 3D plumes depict the evolution of the groundwater pollution status over time and are embedded within the stratigraphic framework of the site. The models identify the portions...