Titlebook: Computational Intelligence in Data Mining; Proceedings of the I Himansu Sekhar Behera,Durga Prasad Mohapatra Conference proceedings 2017 Sp

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Public Governance in Member States,h approaches may end up at developing artefacts, rendering the image unusable. Moreover these two classical approaches involve algorithmically complex tasks. On the other hand evolutionary soft computing methods claim to offer hassle free and effective contrast enhancement. In the present work, we r

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https://doi.org/10.1007/978-3-8350-5406-6cial institution to minimize their misfortunes. Despite the fact that there are different statistical and artificial intelligent methods available, there is no single best strategy for credit risk prediction. In our work, we have used feature selection and feature extraction methods as preprocessing

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Strategic Management in Islamic Financeliminate the noise from noisy image, one should know the noise type, noise level, noise distribution, etc. Typically noise level information is identified from noise standard deviation. Estimation of the image noise from the noisy image is major concern for several reasons. So, efficient and effecti

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Summary and Concluding Remarks,al Foraging Optimization Algorithm (BFOA). Ordinary threading methods are computationally expensive, while extending for multilevel image thresholding, so there is a need of optimization techniques to reduce the computational time. Particle swarm optimization undergoes instability when particle velo

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