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Titlebook: Soft Computing in Industrial Applications; Recent and Emerging Ashraf Saad,Keshav Dahal,Rajkumar Roy Conference proceedings 2007 Springer-

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Object Recognition Using Particle Swarm Optimization on Fourier Descriptorson technique has been mapped and used successfully to have an object recognition system using minimal number of Fourier Descriptors. The proposed method assigns, for each of these descriptors, a weighting factor that reflects the relative importance of that descriptor.
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Comparison of PSO-Based Optimized Feature Computation for Automated Configuration of Multi-sensor SyO). To compare with previous research work gas sensor benchmark data is used. In the comparison of GA and PSO the latter method provided superior results of 100% recognition in generalization for thresholding, which proved to be more powerful method.
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1867-5662 in September-October 2006.Soft Computing admits approximate reasoning, imprecision, uncertainty and partial truth in order to mimic aspects of the remarkable human capability of making decisions in real-life and ambiguous environments. "Soft Computing in Industrial Applications" contains a collectio
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risk of the current trend in synthesising macro and micro theories is that levels of generality get muddled and that this leads to a widening of the gap between theoretical propositions and empirical applications. While covering some of the same ground from a quite different tact, Hans Joas, review
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Juan Wachs,Helman Stern,Yael Edan,Michael Gillam,Craig Feied,Mark Smith,Jon Handlerment between archaeological, historical, and anthropological studies of colonialism. African archaeology, I argue, stands out by its interdisciplinary commitments, theoretical insights derived from African cultural contexts, and hybrid knowledges, which, in turn, can productively mesh with archaeolo
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