Machine intelligence in mechanical engineering /
Machine Intelligence in Mechanical Engineering explains the latest applications of machine intelligence and data-driven decision-making in mechanical engineering industries. By providing introductory theory, trouble-shooting case studies, detailed algorithms and implementation instructions, this int...
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| Další autoři: | , , , |
|---|---|
| Médium: | Elektronický zdroj E-kniha |
| Jazyk: | angličtina |
| Vydáno: |
Cambridge, MA :
Woodhead Publishing,
2024.
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| Edice: | Woodhead Publishing reviews: Mechanical engineering series
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| Témata: | |
| On-line přístup: | ScienceDirect |
| Tagy: |
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MARC
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| 003 | OCoLC | ||
| 005 | 20260915095228.0 | ||
| 006 | m o d | ||
| 007 | cr cnu---unuuu | ||
| 008 | 240205s2024 mau o 001 0 eng d | ||
| 040 | |a OPELS |b eng |e rda |e pn |c OPELS |d OCLCO |d N$T |d WAU |d OCLCF |d OCLCO |d OCLCQ | ||
| 020 | |a 9780443186455 |q (electronic bk.) | ||
| 020 | |a 0443186456 |q (electronic bk.) | ||
| 020 | |z 9780443186448 | ||
| 035 | |a (OCoLC)1419974301 | ||
| 050 | 4 | |a TJ153 | |
| 082 | 0 | 4 | |a 621.0285/631 |2 23/eng/20240205 |
| 245 | 0 | 0 | |a Machine intelligence in mechanical engineering / |c edited by K. Palanikumar, Elango Natarajan, S. Ramesh, J. Paulo Davim. |
| 264 | 1 | |a Cambridge, MA : |b Woodhead Publishing, |c 2024. | |
| 300 | |a 1 online resource (xix, 429 pages) : |b illustrations. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 340 | |p illustration |0 http://rdaregistry.info/termList/IllusContent/1014 |2 rdaill | ||
| 490 | 0 | |a Woodhead Publishing reviews: Mechanical engineering series | |
| 520 | |a Machine Intelligence in Mechanical Engineering explains the latest applications of machine intelligence and data-driven decision-making in mechanical engineering industries. By providing introductory theory, trouble-shooting case studies, detailed algorithms and implementation instructions, this interdisciplinary book will help readers explore additional applications in their own fields. Those with a mechanical background will learn the important tasks related to preprocessing of datasets, feature extraction, verification and validation of machine learning models which unlock these new methods. Machine Intelligence is currently a key topic in industrial automation, enabling machines to solve complex engineering tasks and driving efficiencies in the smart production line. Smart preventative maintenance systems can prevent machine downtime, smart monitoring and control can produce more effective workflows with less human intervention. | ||
| 500 | |a Includes index. | ||
| 588 | 0 | |a Online resource; title from PDF title page (SpringerLink, viewed February 5, 2024). | |
| 650 | 0 | |a Mechanical engineering |x Data processing. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 6 | |a Génie mécanique |0 (CaQQLa)201-0002782 |x Informatique. |0 (CaQQLa)201-0380011 | |
| 650 | 6 | |a Apprentissage automatique. |0 (CaQQLa)201-0131435 | |
| 650 | 7 | |a Machine learning |2 fast |0 (OCoLC)fst01004795 | |
| 650 | 7 | |a Mechanical engineering |x Data processing |2 fast |0 (OCoLC)fst01013381 | |
| 700 | 1 | |a Palanikumar, K., |e editor. | |
| 700 | 1 | |a Natarajan, Elango, |e editor. | |
| 700 | 1 | |a Ramesh, S., |e editor. | |
| 700 | 1 | |a Davim, J. Paulo, |e editor. |1 https://id.oclc.org/worldcat/entity/E39PBJgRW8hfBbTftdMR7kBXVC | |
| 856 | 4 | 0 | |3 ScienceDirect |u https://www.sciencedirect.com/science/book/9780443186448 |