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|a DLC
|b eng
|e rda
|c DLC
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|d YDX
|d N$T
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|a 9781003104858
|q (ebook)
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| 020 |
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|a 9781000642384
|q (electronic bk.)
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|a 1000642380
|q (electronic bk.)
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|a 1003104851
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|z 9780367569129
|q (hardback)
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|z 9780367612559
|q (paperback)
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|a (OCoLC)1333157870
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| 042 |
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|a pcc
|
| 050 |
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4 |
|a TA347.A78
|b M33 2023
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| 082 |
0 |
0 |
|a 006.3
|2 23/eng/20220625
|
| 245 |
0 |
0 |
|a Machine learning algorithms and applications in engineering /
|c edited by Prasenjit Chatterjee, Morteza Yazdani, Francisco Fernández-Navarro, Javier Pérez-Rodríguez.
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| 250 |
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|a First edition.
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| 263 |
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|a 2208
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| 264 |
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1 |
|a Boca Raton :
|b CRC Press,
|c 2023.
|
| 300 |
|
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|a 1 online resource.
|
| 336 |
|
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|a text
|b txt
|2 rdacontent
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| 337 |
|
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|a computer
|b c
|2 rdamedia
|
| 338 |
|
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|a online resource
|b cr
|2 rdacarrier
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| 504 |
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|a Includes bibliographical references and index.
|
| 505 |
0 |
|
|a Machine learning for smart healthcare / Rehab A. Rayan -- Predictive analysis for flood risk mapping utilizing machine learning approach / Aditya Singh, Sunil Khatri, Sandhya Save, Hemant Kasturiwale -- Dependability analysis on CPs using machine learning techniques / S. Krishna Narayanan, S. Dhanasekaran, V. Vasudevan -- Machine learning for risk analysis / Parita Jain, Puneet Kumar Aggarwal, Kshirja Makar, Riya Garg, Jaya Mehta, Poorvi Chaudhary -- Machine learning techniques enabled electric vehicle / M. Shyamalagowri, G Revathy -- A comparative analysis of established techniques and their applications in the field of gesture detection / Muskan Jindal, Eshan Bajal, Shilpi Sharma -- Brain-computer-interface for dream visualization using deep learning / Brijesh K. Soni, Akhilesh A. Waoo -- Machine learning and data analysis based breast cancer classification / Souvik Das, K Rama Chaitanya, O B Krishna, and J Maiti -- Accurate automatic functional recognition of proteins : overview and current computational challenges / Javier Pérez-Rodríguez, Morteza Yazdani, Prasenjit Chatterjee -- Taxonomy of shilling attack detection techniques in recommender system / Abhishek Majumder, Keya Chowdhury, Joy Lal Sarkar -- Machine learning applications in real-world time series problems / Antonio Manuel Durán-Rosal, David Guijo-Rubio, Morteza Yazdani, Prasenjit Chatterjee -- Prediction of selective laser sintering part quality using deep learning / Lokesh Kumar Saxena, Pramod Kumar Jain -- CBPP : an efficient algorithm for privacy preserving data publishing of 1 : M micro data with multiple sensitive attributes / Jayapradha. J, Prakash. M -- Classification of network traffic on ISP link and analysis of network bandwidth during COVID-19 / Ajantha Devi. V, Yogendra Malgundkar, Bandana Mahapatra -- Integration of AI/Ml in 5G technology toward intelligent connectivity, security, and challenges / Devasis Pradhan, Prasanna Kumar Sahu, Rajeswari, Hla Myo Tun, Naw Khu Say Wah.
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| 588 |
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|a Description based on print version record and CIP data provided by publisher; resource not viewed.
|
| 650 |
|
0 |
|a Machine learning.
|
| 650 |
|
0 |
|a Artificial intelligence
|x Industrial applications.
|
| 650 |
|
0 |
|a Artificial intelligence
|x Medical applications.
|
| 650 |
|
0 |
|a Algorithms.
|
| 650 |
|
0 |
|a Engineering
|x Data processing.
|
| 650 |
|
7 |
|a Algorithms.
|2 fast
|0 (OCoLC)fst00805020
|
| 650 |
|
7 |
|a Artificial intelligence
|x Industrial applications.
|2 fast
|0 (OCoLC)fst00817262
|
| 650 |
|
7 |
|a Artificial intelligence
|x Medical applications.
|2 fast
|0 (OCoLC)fst00817267
|
| 650 |
|
7 |
|a Engineering
|x Data processing.
|2 fast
|0 (OCoLC)fst00910334
|
| 650 |
|
7 |
|a Machine learning.
|2 fast
|0 (OCoLC)fst01004795
|
| 700 |
1 |
|
|a Chatterjee, Prasenjit,
|d 1982-
|e editor.
|
| 700 |
1 |
|
|a Yazdani, Morteza,
|e editor.
|
| 700 |
1 |
|
|a Fernández-Navarro, Francisco
|q (Fransisco de Asís),
|e editor.
|
| 700 |
1 |
|
|a Pérez-Rodríguez, Javier,
|e editor.
|
| 776 |
0 |
8 |
|i Print version:
|t Machine learning algorithms and applications in engineering
|b First edition.
|d Boca Raton : CRC Press, 2022
|z 9780367569129
|w (DLC) 2022010393
|
| 856 |
4 |
0 |
|u https://www.taylorfrancis.com/books/9781003104858
|y Taylor & Francis eBooks
|x 999
|
| 901 |
|
|
|a YBPebook
|
| 929 |
|
|
|a eresource
|
| 999 |
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f |
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|i 88fab22e-adc5-42f7-a287-27caf4d84cfd
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| 928 |
|
|
|t Library of Congress classification
|a TA347.A78M33 2023
|l Online
|c UC-FullText
|u https://www.taylorfrancis.com/books/9781003104858
|z Taylor & Francis eBooks
|g ebooks
|e DOED
|i 13097984
|
