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Application-Aware Dynamic Fine-Grained Resource Provisioning in a Virtualized Cloud Data Center.

, , , , , , and . IEEE Trans Autom. Sci. Eng., 14 (2): 1172-1184 (2017)

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Repairing Inconsistency and Uncertainty in DL-based Ontologies., , and . SWWS, page 35-41. CSREA Press, (2009)Comparison of Machine Learning Classifiers for Breast Cancer Diagnosis Based on Feature Selection., , , , , , and . SMC, page 4399-4404. IEEE, (2018)Forecasting Road Surface Temperature in Beijing Based on Machine Learning Algorithms., , , , , , , and . ICCSE, page 23:1-23:5. ACM, (2018)Accurate Identification of Ontology Alignments at Different Granularity Levels., , , , , and . IEEE Access, (2017)Improved Maximum Margin Clustering via the Bundle Method., , , , , and . IEEE Access, (2019)Timing constraint workflow nets for workflow analysis., , and . IEEE Trans. Syst. Man Cybern. Part A, 33 (2): 179-193 (2003)Semi-supervised learning via mean field methods., and . Neurocomputing, (2016)Community-aware dynamic network embedding by using deep autoencoder., , , , , , and . Inf. Sci., (2020)A novel adaptive control strategy for decomposition-based multiobjective algorithm., , , , , , and . Comput. Oper. Res., (2017)Predicting Protein-Protein Interactions from Amino Acid Sequences Using SaE-ELM Combined with Continuous Wavelet Descriptor and PseAA Composition., , , , and . ICIC (2), volume 9226 of Lecture Notes in Computer Science, page 634-645. Springer, (2015)