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Titlebook: Contemporary Computing; 4th International Co Srinivas Aluru,Sanghamitra Bandyopadhyay,Bertil Sc Conference proceedings 2011 Springer-Verlag

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發(fā)表于 2025-3-30 11:13:01 | 只看該作者
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Intelligent Autonomous Systems: A Layered Architecture in the Age of Multicore Processingicient methods for capturing and exploiting “context” and “context-specific information” to swiftly change the behaviors of intelligent systems. The talk will highlight the evolution of signal processing, linguistic hierarchy, computing models where information fusion is considered, and draw some pa
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發(fā)表于 2025-3-30 18:52:18 | 只看該作者
Intelligent Multimedia at the Imagineering Quarterirtual learning environment for teaching physics which integrates research in Intelligent Tutoring Systems (ITSs), where students learn about concepts such as momentum by trying to get an astronaut back to his craft in time by determining optimal mass and velocity. PlayPhysics also gives detailed fe
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發(fā)表于 2025-3-30 22:28:08 | 只看該作者
Some Observations on Algorithms for Computing Minimum Independent Dominating Setheuristic returns the best cardinality amongst all these algorithms in literature for all graphs except grid graphs for which the inter-dominator 3-hop distance heuristic performs better. To the best of our knowledge, this is the first empirical study where the exact, PTAS and heuristic solutions to
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發(fā)表于 2025-3-31 02:42:15 | 只看該作者
56#
發(fā)表于 2025-3-31 05:50:27 | 只看該作者
An Efficient EA with Multipoint Guided Crossover for Bi-objective Graph Coloring Problemtive graph coloring problem and obtained Pareto fronts. Empirical results show that proposed evolutionary algorithm with simple Multipoint Guided Crossover generates superior or (near-) equal solutions in comparison with the adapted heuristic solutions as well as with evolutionary algorithm solution
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發(fā)表于 2025-3-31 10:50:06 | 只看該作者
Srinivas Aluru,Sanghamitra Bandyopadhyay,Bertil Scup-to-date results.fast track conference proceedings.state-of-the-art report
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發(fā)表于 2025-3-31 20:08:38 | 只看該作者
Contemporary Computing978-3-642-22606-9Series ISSN 1865-0929 Series E-ISSN 1865-0937
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發(fā)表于 2025-3-31 23:50:28 | 只看該作者
https://doi.org/10.1007/978-3-663-20277-6equence. The performance of the proposed Sobol sequence guided ABC (S-ABC) is analyzed over several benchmark functions and also compared to that of basic ABC. The empirical results show that the presence of low discrepancy sequence like that of Sobol, significantly improves the performance of the basic ABCA.
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