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| 001 | 395524 | ||
| 003 | ES-MaUEC | ||
| 005 | 20240201134547.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 211102s2022 si | s |||| 0|eng d | ||
| 020 | _a9789811652813 | ||
| 024 | 7 |
_a10.1007/978-981-16-5281-3 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aTS183 _b2022 EB |
|
| 245 | 0 | 0 |
_aRecent Advances in Industrial Production : _bSelect Proceedings of ICEM 2020 _cedited by Rajeev Agrawal, Jinesh Kumar Jain, Vinod Singh Yadav, Vijaya Kumar Manupati, Leonilde Varela |
| 250 | _a1st edition 2022 | ||
| 264 | 1 |
_aSingapore _bSpringer International Publishing _c2022 |
|
| 300 |
_a1 recurso en línea (XIII, 515 páginas) _b218 ilustraciones, 166 ilustraciones a color |
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| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
||
| 490 | 0 |
_aLecture Notes in Mechanical Engineering _x2195-4364 |
|
| 505 | 0 | _aBibliometric and Review studies related to Industr4. And sustainability in Industry 4.0 -- Sustainable Additive Manufacturing Methodologies -- Frameworks, tools and techniques for Collaborative and Intelligent Networks and Decision Systems -- Tools and Techniques for Collaborative and Intelligent Networks -- Tools and techniques for Collaborative and Decision Systems. | |
| 520 | _aThis book presents the select proceedings of the International Conference on Evolution in Manufacturing (ICEM 2020), and examines a range of areas including evolution in manufacturing, intelligent networks, bio-Inspired models and algorithms, internet-of-things, and cyber manufacturing. This book intends to provide a contribution to the domain of collaborative and intelligent networks and systems to fill the gap in theories and practical applications through suitable methods and solutions applicable to a wide range of instances. Various topics covered include broad range of research challenges in the fields of artificial intelligence and addressing current and future trends in industry 4.0 oriented scenario, data analytics and big data, operation and manufacturing management. The book will be a valuable reference for beginners, researchers and professionals interested in artificial intelligence in engineering and production management and allied fields. | ||
| 988 | _aSpringer_Robotics_2022 | ||
| 650 | 7 |
_2embne _9163432 _aProcesos de fabricación _vCongresos y asambleas |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9789811652806 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811652820 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811652837 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-5281-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b03/2023 _dz _eu _zSI |
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