Urologist
发表于 2025-3-26 23:26:21
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
滴注
发表于 2025-3-27 01:43:11
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熔岩
发表于 2025-3-27 07:11:47
https://doi.org/10.1007/978-981-16-2934-1Algorithms and Models; Recommendation System; ANN and Deep Neural Networks; Data Storage; Data Warehouse
提名的名单
发表于 2025-3-27 11:52:12
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Fillet,Filet
发表于 2025-3-27 13:52:44
Data Management, Analytics and Innovation978-981-16-2934-1Series ISSN 2367-4512 Series E-ISSN 2367-4520
Commission
发表于 2025-3-27 21:20:51
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幻影
发表于 2025-3-28 00:33:44
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intellect
发表于 2025-3-28 04:55:42
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.
Jejune
发表于 2025-3-28 09:25:43
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 Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and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..
seruting
发表于 2025-3-28 12:08:55
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