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Soft Computing in Smart Manufacturing : Solutions toward Industry 5.0 /
"This book aims at addressing the challenges of contemporary manufacturing in Industry 4.0 environment and future manufacturing (aka Industry 5.0), by implementing soft computing as one of the major sub-fields of artificial intelligence. It contributes to development and application of the soft...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin :
De Gruyter,
[2022]
|
| Colección: | De Gruyter series in advanced mechanical engineering ;
v. 7. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a2200000Ii 4500 | ||
|---|---|---|---|
| 001 | KNOVEL_on1292742966 | ||
| 003 | OCoLC | ||
| 005 | 20231027140348.0 | ||
| 006 | m o d | ||
| 007 | cr cnu|||unuuu | ||
| 008 | 220120s2022 gw a ob 001 0 eng d | ||
| 040 | |a N$T |b eng |e rda |e pn |c N$T |d N$T |d YDXIT |d OCLCO |d OCLCF |d UBY |d OCLCO |d OCLCQ |d OCLCO | ||
| 020 | |a 9783110693256 |q (electronic bk.) | ||
| 020 | |a 3110693259 |q (electronic bk.) | ||
| 020 | |a 9783110693225 |q electronic book | ||
| 020 | |a 3110693224 |q electronic book | ||
| 020 | |z 9783110693171 | ||
| 029 | 1 | |a AU@ |b 000071279641 | |
| 035 | |a (OCoLC)1292742966 | ||
| 050 | 4 | |a HD9720.5 |b .S64 2022 | |
| 082 | 0 | 4 | |a 338.00285 |2 23 |
| 049 | |a UAMI | ||
| 245 | 0 | 0 | |a Soft Computing in Smart Manufacturing : |b Solutions toward Industry 5.0 / |c edited by Tatjana Sibalija, J. Paulo Davim. |
| 264 | 1 | |a Berlin : |b De Gruyter, |c [2022] | |
| 300 | |a 1 online resource : |b illustrations (some color) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a De Gruyter series in advanced mechanical engineering ; |v volume 7 | |
| 588 | |a Online resource; title from PDF title page (EBSCO, viewed January 24, 2022). | ||
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a "This book aims at addressing the challenges of contemporary manufacturing in Industry 4.0 environment and future manufacturing (aka Industry 5.0), by implementing soft computing as one of the major sub-fields of artificial intelligence. It contributes to development and application of the soft computing systems, including links to hardware, software and enterprise systems, in resolving modern manufacturing issues in complex, highly dynamic and globalized industrial circumstances. It embraces heterogeneous complementary aspects, such as control, monitoring and modeling of different manufacturing tasks, including intelligent robotic systems and processes, addressed by various machine learning and fuzzy techniques; modeling and parametric optimization of advanced conventional and non-conventional, eco-friendly manufacturing processes by using machine learning and evolutionary computing techniques; cybersecurity framework for Internet of Things-based systems addressing trustworthiness and resilience in machine-to-machine and human-machine collaboration; static and dynamic digital twins integration and synchronization in a smart factory environment; STEP-NC technology for a smart machine vision system, and integration of Open CNC with Service-Oriented Architecture for STEP-NC monitoring system in a smart manufacturing. Areas of interest include but are not limited to applications of soft computing to address the following: dynamic process/system modeling and simulation, dynamic process/system parametric optimization, dynamic planning and scheduling, smart, predictive maintenance, intelligent and autonomous systems, improved machine cognition, effective digital twins integration, human-machine collaboration, robots, and cobots. "-- |c Provided by publisher. | ||
| 505 | 0 | |a 1 Control, monitoring, modeling, and optimization of manufacturing and machining technologies -- 2 Trustworthy human-machine assistance by dynamic process security monitoring in industrial environments -- 3 Application of convolutional neural networks for visual control of intelligent robotic systems -- 4 Digital twins in smart manufacturing -- 5 A novel implementation of an open CNC PC-based and service-oriented architecture-based monitoring system for STEP-NC - a case study -- 6 Smart system based on STEP-NC for machine vision inspection (3SMVI) -- 7 Soft computing in advanced cutting processes -- 8 Modeling and optimization of AWJM process on the processing of Banana fiber-reinforced polymer composites using Taguchi-JAYA method -- Index. | |
| 590 | |a Knovel |b ACADEMIC - Manufacturing Engineering | ||
| 650 | 0 | |a Manufacturing industries |x Data processing. | |
| 650 | 0 | |a Soft computing. | |
| 650 | 0 | |a Artificial intelligence |x Industrial applications. | |
| 650 | 6 | |a Industrie manufacturière |x Informatique. | |
| 650 | 6 | |a Informatique douce. | |
| 650 | 6 | |a Intelligence artificielle |x Applications industrielles. | |
| 650 | 7 | |a Artificial intelligence |x Industrial applications |2 fast | |
| 650 | 7 | |a Manufacturing industries |x Data processing |2 fast | |
| 650 | 7 | |a Soft computing |2 fast | |
| 700 | 1 | |a Sibalija, Tatjana V., |e editor. | |
| 700 | 1 | |a Davim, J. Paulo, |e editor. | |
| 830 | 0 | |a De Gruyter series in advanced mechanical engineering ; |v v. 7. | |
| 856 | 4 | 0 | |u https://appknovel.uam.elogim.com/kn/resources/kpSCSM0007/toc |z Texto completo |
| 938 | |a EBSCOhost |b EBSC |n 3102557 | ||
| 994 | |a 92 |b IZTAP | ||