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Covering-based granular computing
2008 IEEE International Conference on Granular Computing, 2008Granular computing is a methodology for intelligent information processing. It uses granules such as classes, clusters, subsets, and blocks to construct an efficient computational model for complex applications with huge amounts of data, information and knowledge. This subject is related to other fields such as artificial intelligence, cluster analysis,
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Molecular imaging in oncology: Current impact and future directions
Ca-A Cancer Journal for Clinicians, 2022Steven P Rowe, Martin G Pomper
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Dynamical memristors for higher-complexity neuromorphic computing
Nature Reviews Materials, 2022Suhas Kumar +2 more
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Handbook of Granular Computing
2008Although the notion is a relatively recent one, the notions and principles of Granular Computing (GrC) have appeared in a different guise in many related fields including granularity in Artificial Intelligence, interval computing, cluster analysis, quotient space theory and many others.
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Human-Inspired Granular Computing
2010In this chapter, I explore a view of granular computing as a paradigm of human-inspired problem solving and information processing, covering human-oriented studies and machine-oriented studies. By exploring the notion of multiple levels of granularity, one can identify, examine and formalize a special family of principles, strategies, heuristics, and ...
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Evidence for the utility of quantum computing before fault tolerance
Nature, 2023Youngseok Kim +2 more
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