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The chapter also discusses data for traditional chemical engineering subjects.
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Section three discusses data and methods including study area.
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Section 4 discusses data pruning using confidence measures.
The presented work demonstrates and discusses under which conditions reliable data for these constants can be obtained.
This review discusses the availability of appropriate data for modeling these processes, analyzes the different models available and their capabilities.
This chapter discusses fundamental data necessary for targets of importance in the plasma etching of silicon.
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This review summarizes preclinical and clinical data for aflibercept and discusses future directions and clinical trials for this agent.
The Big heterogeneous data for intrusion detection section discusses Big Heterogeneous Data for Intrusion Detection.
Section 4 discusses the roles and implications of paradoxical data for theories of causal inference and for analyses of causal relations in terms of probabilities.
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