Industrial AI: (Record no. 4128)
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000 -LEADER | |
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fixed length control field | 01964nam a22002057a 4500 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20221014145052.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 221014b ||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9789811521461 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 620.028563 |
Item number | LEE |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Lee, Jay |
245 ## - TITLE STATEMENT | |
Title | Industrial AI: |
Remainder of title | applications with sustainable performance |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Name of publisher, distributor, etc. | Springer |
Place of publication, distribution, etc. | Switzerland |
Date of publication, distribution, etc. | 2020 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | xx, 162 p. |
365 ## - TRADE PRICE | |
Price type code | EUR |
Price amount | 149.99 |
520 ## - SUMMARY, ETC. | |
Summary, etc. | This book introduces Industrial AI in multiple dimensions. Industrial AI is a systematic discipline which focuses on developing, validating and deploying various machine learning algorithms for industrial applications with sustainable performance. Combined with the state-of-the-art sensing, communication and big data analytics platforms, a systematic Industrial AI methodology will allow integration of physical systems with computational models. The concept of Industrial AI is in infancy stage and may encompass the collective use of technologies such as Internet of Things, Cyber-Physical Systems and Big Data Analytics under the Industry 4.0 initiative where embedded computing devices, smart objects and the physical environment interact with each other to reach intended goals. A broad range of Industries including automotive, aerospace, healthcare, semiconductors, energy, transportation, mining, construction, and industrial automation could harness the power of Industrial AI to gain insights into the invisible relationship of the operation conditions and further use that insight to optimize their uptime, productivity and efficiency of their operations. In terms of predictive maintenance, Industrial AI can detect incipient changes in the system and predict the remains useful life and further to optimize maintenance tasks to avoid disruption to operations. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Artificial intelligence--Industrial applications |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Management |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Industrial management |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Dewey Decimal Classification |
Koha item type | Book |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Bill No | Bill Date | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Accession Number | Date last seen | Copy number | Cost, replacement price | Price effective from | Koha item type |
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Dewey Decimal Classification | IT & Decisions Sciences | IN156 | 06-10-2022 | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 10/14/2022 | Bharatiya Sahitya Bhavana | 8293.81 | 620.028563 LEE | 003347 | 10/14/2022 | 1 | 12614.16 | 10/14/2022 | Book |