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001469566 019__ $$a1381106707
001469566 020__ $$a9783031305108$$q(electronic bk.)
001469566 020__ $$a3031305108$$q(electronic bk.)
001469566 020__ $$z3031305094
001469566 020__ $$z9783031305092
001469566 0247_ $$a10.1007/978-3-031-30510-8$$2doi
001469566 035__ $$aSP(OCoLC)1381712125
001469566 040__ $$aEBLCP$$beng$$erda$$cEBLCP$$dGW5XE$$dYDX$$dN$T$$dYDX$$dOCLCF
001469566 049__ $$aISEA
001469566 050_4 $$aTS183$$b.A78 2023
001469566 08204 $$a670.28563$$223/eng/20230613
001469566 24500 $$aArtificial intelligence for smart manufacturing :$$bmethods, applications, and challenges /$$cKim Phuc Tran, editor.
001469566 264_1 $$aCham :$$bSpringer,$$c[2023]
001469566 300__ $$a1 online resource (271 p.).
001469566 336__ $$atext$$btxt$$2rdacontent
001469566 337__ $$acomputer$$bc$$2rdamedia
001469566 338__ $$aonline resource$$bcr$$2rdacarrier
001469566 4901_ $$aSpringer Series in Reliability Engineering
001469566 5050_ $$aChapter 1: Introduction to Artificial Intelligence for Smart Manufacturing -- Chapter 2: Articial Intelligence for Smart Manufacturing in Industry 5.0: Methods, Applications, and Challenges -- Chapter 3: Quality control for Smart Manufacturing in Industry 5.0 -- Chapter 4: Dynamic Process Monitoring Using Machine Learning Control Charts -- Chapter 5: Fault Prediction of Papermaking Process Based on Gaussian Mixture Model and Mahalanobis Distance -- Chapter 6: Multi-objective optimization of exible ow-shop intelligent scheduling based on a hybrid intelligent algorithm -- Chapter 7: Personalized pattern recommendation system of mens shirts -- Chapter 8: Ecient and Trustworthy Federated Learning-based Explainable Anomaly Detection: Challenges, Methods, and Future Directions -- Chapter 9: Multimodal machine learning in prognostics and health management of manufacturing systems -- Chapter 10: Explainable Articial Intelligence for Cybersecurity in Smart Manufacturing -- Chapter 11: Wearable technology for Smart Manufacturing in Industry 5.0 -- Chapter 12: Benets of using Digital Twin for online fault diagnosis of a manufacturing system.
001469566 506__ $$aAccess limited to authorized users.
001469566 520__ $$aThis book provides readers with a comprehensive overview of the latest developments in the field of smart manufacturing, exploring theoretical research, technological advancements, and practical applications of AI approaches. With Industry 4.0 paving the way for intelligent systems and innovative technologies to enhance productivity and quality, the transition to Industry 5.0 has introduced a new concept known as augmented intelligence (AuI), combining artificial intelligence (AI) with human intelligence (HI). As the demand for smart manufacturing continues to grow, this book serves as a valuable resource for professionals and practitioners looking to stay up-to-date with the latest advancements in Industry 5.0. Covering a range of important topics such as product design, predictive maintenance, quality control, digital twin, wearable technology, quantum, and machine learning, the book also features insightful case studies that demonstrate the practical application of these tools in real-world scenarios. Overall, this book provides a comprehensive and up-to-date account of the latest advancements in smart manufacturing, offering readers a valuable resource for navigating the challenges and opportunities presented by Industry 5.0.
001469566 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed June 13, 2023).
001469566 650_0 $$aManufacturing processes$$xData processing.
001469566 650_0 $$aArtificial intelligence$$xIndustrial applications.
001469566 655_0 $$aElectronic books.
001469566 7001_ $$aTran, Kim Phuc,$$d1986-$$eeditor.
001469566 77608 $$iPrint version:$$aTran, Kim Phuc$$tArtificial Intelligence for Smart Manufacturing$$dCham : Springer International Publishing AG,c2023$$z9783031305092
001469566 830_0 $$aSpringer series in reliability engineering.
001469566 852__ $$bebk
001469566 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-30510-8$$zOnline Access$$91397441.1
001469566 909CO $$ooai:library.usi.edu:1469566$$pGLOBAL_SET
001469566 980__ $$aBIB
001469566 980__ $$aEBOOK
001469566 982__ $$aEbook
001469566 983__ $$aOnline
001469566 994__ $$a92$$bISE