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Titlebook: Computational Vision and Bio Inspired Computing; D. Jude Hemanth,S. Smys Conference proceedings 2018 Springer International Publishing AG

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楼主: BROOD
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Michel Coornaert,Athanase Papadopoulos. Heat map based visualization of best chromosomes shows clearly the explorative and exploitative search strategies of GA in conjunction with convergence characteristics. This paper demonstrates the potential of visualization to analyze and understand Evolutionary Algorithms (EA) in general.
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Integration of Transcendental Functions,ational capabilities. Hence the smart sensors in the size ranging from tiny dust particles with higher computational, processing capabilities were introduced. This paper takes you on to a tour of various developments in the field of Smart dust technology and the various real-time applications that use the concept.
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Visual Analysis of Genetic Algorithms While Solving 0-1 Knapsack Problem,. Heat map based visualization of best chromosomes shows clearly the explorative and exploitative search strategies of GA in conjunction with convergence characteristics. This paper demonstrates the potential of visualization to analyze and understand Evolutionary Algorithms (EA) in general.
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The Risch Differential Equation, learning approaches. Twitter data from November 9th to December 3rd is considered for analysis. The data set is pre-processed for cleaning the data and making it possible for analysis. A final set of 5000 tweets are analysed using machine learning techniques like SVM, Naïve Bayes classifier and Decision tree and the results are compared.
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