Titlebook: Artificial Intelligence for Smart Manufacturing; Methods, Application Kim Phuc Tran Book 2023 The Editor(s) (if applicable) and The Author(

Embolism

書目名稱Artificial Intelligence for Smart Manufacturing影響因子(影響力)




書目名稱Artificial Intelligence for Smart Manufacturing影響因子(影響力)學(xué)科排名




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書目名稱Artificial Intelligence for Smart Manufacturing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Artificial Intelligence for Smart Manufacturing被引頻次




書目名稱Artificial Intelligence for Smart Manufacturing被引頻次學(xué)科排名




書目名稱Artificial Intelligence for Smart Manufacturing年度引用




書目名稱Artificial Intelligence for Smart Manufacturing年度引用學(xué)科排名




書目名稱Artificial Intelligence for Smart Manufacturing讀者反饋




書目名稱Artificial Intelligence for Smart Manufacturing讀者反饋學(xué)科排名

AGOG

https://doi.org/10.1007/978-3-322-93671-4onparametric longitudinal modeling and sequential data decorrelation algorithms. The modified machine learning control charts can well accommodate time-varying IC process distribution and serial data correlation. Numerical studies show that their performance are improved substantially for monitoring

shrill

Die Entwicklung klinischer Hypothesen,and experience into current garment CAD systems to provide a feasible human-centered, low-cost design solution quickly for each personalized requirement. Also, data-based services such as recommendation systems, body shape classification, 3D body modeling, and garment fit assessment should be integr

Conserve

過分

Commonplace

ablate

SLAY

Dynamic Process Monitoring Using Machine Learning Control Charts,onparametric longitudinal modeling and sequential data decorrelation algorithms. The modified machine learning control charts can well accommodate time-varying IC process distribution and serial data correlation. Numerical studies show that their performance are improved substantially for monitoring

brother

,Personalized Pattern Recommendation System of Men’s Shirts,and experience into current garment CAD systems to provide a feasible human-centered, low-cost design solution quickly for each personalized requirement. Also, data-based services such as recommendation systems, body shape classification, 3D body modeling, and garment fit assessment should be integr

Atmosphere

Wearable Technology for Smart Manufacturing in Industry 5.0,algorithm. In recent years, federated learning has been implemented with deep learning and AI to enhance powerful computing with big data, stable accuracy, and ensure the security of edge devices. In this chapter, the first objective is to survey the applications of wearable Internet of Things devic