| 000 | 01642cam a2200277zu 4500 | ||
|---|---|---|---|
| 001 | 88914786 | ||
| 003 | FRCYB88914786 | ||
| 005 | 20250107234429.0 | ||
| 006 | m o d | ||
| 007 | cr un | ||
| 008 | 250108s2020 fr | o|||||0|0|||eng d | ||
| 020 | _a9780128189061 | ||
| 035 | _aFRCYB88914786 | ||
| 040 |
_aFR-PaCSA _ben _c _erda |
||
| 100 | 1 | _aRam, Mangey | |
| 245 | 0 | 1 |
_aAdvances in Mathematics for Industry 4.0 _c['Ram, Mangey'] |
| 264 | 1 |
_bElsevier Science _c2020 |
|
| 300 | _a p. | ||
| 336 |
_btxt _2rdacontent |
||
| 337 |
_bc _2rdamdedia |
||
| 338 |
_bc _2rdacarrier |
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| 650 | 0 | _a | |
| 700 | 0 | _aRam, Mangey | |
| 856 | 4 | 0 |
_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88914786 _qtext/html _a |
| 520 | _aAdvances in Mathematics for Industry 4.0 examines key tools, techniques, strategies, and methods in engineering applications. By covering the latest knowledge in technology for engineering design and manufacture, chapters provide systematic and comprehensive coverage of key drivers in rapid economic development. Written by leading industry experts, chapter authors explore managing big data in processing information and helping in decision-making, including mathematical and optimization techniques for dealing with large amounts of data in short periods. Focuses on recent research in mathematics applications for Industry 4.0 Provides insights on international and transnational scales Identifies mathematics knowledge gaps for Industry 4.0 Describes fruitful areas for further research in industrial mathematics, including forthcoming international studies and research | ||
| 999 |
_c74114 _d74114 |
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