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Titlebook: Computational Intelligence in Pattern Recognition; Proceedings of CIPR Asit Kumar Das,Janmenjoy Nayak,Danilo Pelusi Conference proceedings

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Tawfik Jelassi,Francisco J. Martínez-Lópezto-use system, which can measure, display, and warn the patient regarding their vital parameters. The proposed system uses non-penetrative sensors to accurately monitor the vital parameters like heart rate and body temperature and uses ARM Cortex M3-based processor LPC1768 to process, display, and a
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Microwave Searches in the U.S.A. and Canadag attempts were mostly involved for discriminating speech with nonspeech but relatively not much works were involved for classifying speech and song from audio signal. Mainly perceptual and frequency depended features were associated with the foregoing attempts. Song, whether it is associated with i
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N is Neither Very Small nor Very Largetification Systems sequentially transform the speech signal into discrete units, and then apply statistical methods on the resultant units to extract their language information. Today, a large number of audio retrieval features exists for automatic speech and language recognition. The proposed metho
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Current Problems of Iron Overload,ti-bit encoding procedure, Kuo, Wen-Chung, et al. achieve high data hiding capacity with acceptable stego image quality, but security was another major issue which is possible to enhance. We have proposed a secure general form of multi-bit encoding function using an Adder-Element in which we achieve
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Current Problems of Iron Overload,, a minutia detection scheme is presented by employing gray scale hit-or-miss transformation. The work focuses exclusively on two widely used minutia points namely ridge bifurcations and ridge endings. To detect all the minutia points, a set of bifurcation shaped templates, oriented along various di
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