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期刊
ISSN
1524-1904
刊名
Applied Stochastic Models in Business and Industry
参考译名
商业与工业应用随机模型
收藏年代
2002~2023
关联期刊
参考译名
收藏年代
Applied Stochastic Models in Business and Industry
商业与工业应用随机模型
2024~2026
全部
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2023
2022, vol.38, no.1
2022, vol.38, no.2
2022, vol.38, no.3
2022, vol.38, no.4
2022, vol.38, no.5
2022, vol.38, no.6
题名
作者
出版年
年卷期
A Bayesian data modelling framework for chemical processes using adaptive sequential design with Gaussian process regression
Liam Fleming; Joseph Emerson; Hugh Stitt; Jie Zhang; Shirley Coleman
2022
2022, vol.38, no.5
Defective products management in a furniture production company: A data mining approach
Taner Ers?z; ?lker Güven; Filiz Ers?z
2022
2022, vol.38, no.5
Separable spatio‐temporal kriging for fast virtual sensing
Michele Lambardi di San Miniato; Ruggero Bellio; Luca Grassetti; Paolo Vidoni
2022
2022, vol.38, no.5
Designing acceptance single sampling plans: An optimization‐based approach under generalized beta distribution
Silvia Facchinetti; Silvia Angela Osmetti; Umberto Magagnoli
2022
2022, vol.38, no.5
Non‐parametric local capability indices for industrial planar manufacts: An application to the etching phase in the microelectronic industry
Riccardo Borgoni; Vincenzo Emanuele Farace; Diego Zappa
2022
2022, vol.38, no.5
Quick‐switch inspection scheme based on the overall process capability index for modern industrial web‐based processing environment
To‐Cheng Wang; Bi‐Min Hsu; Ming‐Hung Shu
2022
2022, vol.38, no.5
Foreword to the Special Issue on “Data Science in Process Industries”
Marco S. Reis; Nikolaus Haselgruber
2022
2022, vol.38, no.5
Spatial correction of low‐cost sensors observations for fusion of air quality measurements
Michel Bobbia; Jean‐Michel Poggi; Bruno Portier
2022
2022, vol.38, no.5
Self‐supervised cross validation using data generation structure
Ron S. Kenett; Chris Gotwalt; Laura Freeman; Xinwei Deng
2022
2022, vol.38, no.5
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