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Titlebook: Data Management, Analytics and Innovation; Proceedings of ICDMA Neha Sharma,Amlan Chakrabarti,Alfred M. Bruckstein Conference proceedings 2

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Swathi Swaminathan,E. Glenn Schellenberging wavelet transform of computerized pictures of surfaces, has been put forward. The results of the system show great connection between roughness parameter (R.) and important features derived from the surface pictures, and thus displays good prediction performance after fine-tuning of the vision s
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https://doi.org/10.1007/978-981-16-2934-1Algorithms and Models; Recommendation System; ANN and Deep Neural Networks; Data Storage; Data Warehouse
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Data Management, Analytics and Innovation978-981-16-2934-1Series ISSN 2367-4512 Series E-ISSN 2367-4520
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Modelling of Surface Roughness Using ANN and Correlation with Acoustic Emission Signals in Turning oystem. BPNN tools were used to build appropriate polynomial models to establish the relationship between important image features and R. values. Also, an experimental investigation is done on correlating AE signals with the surface roughness during turning of AISI 303 Steel.
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Conference proceedings 2021ate-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry..
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