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Artificial intelligence-based intrusion detection and secure communication model for sustainable 6G-IoT networks. [PDF]
Sci RepAssiri M.
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An Evolutionary-Algorithm-Driven Efficient Temporal Convolutional Network for Radar Image Extrapolation. [PDF]
Biomimetics (Basel)Wei P +6 more
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Co-development and implementation of a group-based arm-crank exercise programme in the community for individuals with neurological impairments. [PDF]
BMC Sports Sci Med RehabilChiou SY +6 more
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Predicting unconfined compressive strength of geopolymer-stabilized clays using a sector fruit fly-based extreme learning machine. [PDF]
Sci RepAbdellatief M, Mortagi M.
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International Journal of Foundations of Computer Science, 1992
We assume the reader has some familiarity with theories and iteration theories. The main topic of the paper is properties of varieties of iteration algebras. After a preliminary section which contains all of the necessary definitions, we spend some time on a coproduct construction which is needed to prove a fundamental lemma: for each iteration theory
Bloom, Stephen L., Ésik, Zoltán
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We assume the reader has some familiarity with theories and iteration theories. The main topic of the paper is properties of varieties of iteration algebras. After a preliminary section which contains all of the necessary definitions, we spend some time on a coproduct construction which is needed to prove a fundamental lemma: for each iteration theory
Bloom, Stephen L., Ésik, Zoltán
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Computational Statistics, 2007
Iterative denoising is a data mining technology for analysis of large heterogeneous datasets, e.g., sets of text documents. The result of it is a hierarchical divisive cluster tree with visual representation of each node. The specific feature of this technology is that the features for the clustering are extracted from data at each node of the ...
Giles, Kendall E. +3 more
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Iterative denoising is a data mining technology for analysis of large heterogeneous datasets, e.g., sets of text documents. The result of it is a hierarchical divisive cluster tree with visual representation of each node. The specific feature of this technology is that the features for the clustering are extracted from data at each node of the ...
Giles, Kendall E. +3 more
openaire +1 more source