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by
Mohamad, Mustafa, author.
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these subsets that allows us to control the degree of their ambiguity is introduced. Our generalization
by
Tsiakas, Konstantinos, author.
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expertise using informative control interfaces, towards a safe and tailored interaction. We illustrate this
by
Upadhyaya, Ganesha, author. (orcid)0000-0003-0764-2578
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of control flow graphs (CFGs) by clustering similar CFGs.
by
Schulze, Christoph, author. (orcid)0000-0001-9300-5641
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of static data- and control-flow analysis. Other improvements include an algorithm that leverages the
by
Choi, Wonje, author.
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dynamic VFI control in heterogeneous manycore systems to address power and thermal issues.
by
Juarez Perez, Alain, author.
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independent control of direction, orientation and velocity, with known coverage and quality characteristics
by
Du, Fan, author. (orcid)0000-0002-4383-8888
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assesses interactive strategies for transparency and control, as applied to event sequence recommender
by
Imes, Connor Kelly, author. (orcid)0000-0003-1683-8353
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consumption with two projects---POET and CoPPer. Both projects use control theory, which provides a formal
by
Yu, Xiangyao, author.
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. Evaluation shows that the distributed concurrency control algorithm in Sundial improves system performance by
by
Khairunnesa, Samantha Syeda, author.
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precondition mining approach include a technique to analyze the data and control flow in the program leading to
by
Zhang, Haitao, author.
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primitives enable users' control over their own data and facilitate interoperability among multiple
by
Minerva, Roberto. author.
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Excerpt:
Chapter 1. Introduction -- Chapter 2. Background: Services, Control Paradigms, and Network

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