Research and application of food safety Pre-warning model based on AHP and time series Association

Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology ◽

10.2991/icmmct-16.2016.308 ◽

2016 ◽

Author(s):

Shilong Guo ◽

Yong Wang

Keyword(s):

Time Series ◽

Food Safety ◽

Model Based ◽

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Design of early warning model based on time series data for production safety

Measurement ◽

10.1016/j.measurement.2017.01.033 ◽

2017 ◽

Vol 101 ◽

pp. 62-71 ◽

Author(s):

Dazhi Jiang ◽

Jian Gong ◽

Akhil Garg

Keyword(s):

Time Series ◽

Early Warning ◽

Time Series Data ◽

Series Data ◽

Early Warning Model ◽

Model Based ◽

Production Safety ◽

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MOOC Dropout Prediction Using FWTS-CNN Model Based on Fused Feature Weighting and Time Series

IEEE Access ◽

10.1109/access.2020.3045157 ◽

2020 ◽

pp. 1-1

Author(s):

Ya-Feng Zheng ◽

Zhang-Hao Gao ◽

Yi-Hang Wang ◽

Qian Fu

Keyword(s):

Time Series ◽

Feature Weighting ◽

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Model-based fuzzy time series clustering of conditional higher moments

International Journal of Approximate Reasoning ◽

10.1016/j.ijar.2021.03.011 ◽

2021 ◽

Author(s):

Roy Cerqueti ◽

Massimiliano Giacalone ◽

Raffaele Mattera

Keyword(s):

Time Series ◽

Fuzzy Time Series ◽

Higher Moments ◽

Time Series Clustering ◽

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A Novel Learning Early-Warning Model Based on Knowledge Points and Question Types

2021 9th International Conference on Information and Education Technology (ICIET) ◽

10.1109/iciet51873.2021.9419649 ◽

2021 ◽

Author(s):

Yuhang Zou ◽

Zhengzhou Zhu ◽

Yu Liu ◽

Zhenghui Li

Keyword(s):

Early Warning ◽

Early Warning Model ◽

Model Based ◽

Question Types ◽

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A time series model-based method for gear tooth crack detection and severity assessment under random speed variation

Mechanical Systems and Signal Processing ◽

10.1016/j.ymssp.2020.107605 ◽

2021 ◽

Vol 156 ◽

pp. 107605

Author(s):

Yuejian Chen ◽

Stephan Schmidt ◽

P. Stephan Heyns ◽

Ming J. Zuo

Keyword(s):

Time Series ◽

Crack Detection ◽

Time Series Model ◽

Severity Assessment ◽

Speed Variation ◽

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A Time Series Combined Forecasting Model Based on Prophet-LGBM

10.1145/3469213.3470280 ◽

2021 ◽

Author(s):

Siyang Xu ◽

Chunyan Han ◽

Chunlei Ran

Keyword(s):

Time Series ◽

Forecasting Model ◽

Model Based ◽

Combined Forecasting

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Research on combined model based on multi-objective optimization and application in time series forecast

Soft Computing ◽

10.1007/s00500-018-03690-w ◽

2018 ◽

Vol 23 (22) ◽

pp. 11493-11521 ◽

Author(s):

Shenghui Zhang ◽

Jiyang Wang ◽

Zhenhai Guo

Keyword(s):

Time Series ◽

Multi Objective Optimization ◽

Combined Model ◽

Time Series Forecast ◽

Multi Objective ◽

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Ex post and ex ante prediction of unobserved multivariate time series: a structural-model based approach

Journal of Forecasting ◽

10.1002/for.1017 ◽

2007 ◽

Vol 26 (1) ◽

pp. 53-76 ◽

Author(s):

Fabio H. Nieto

Keyword(s):

Time Series ◽

Structural Model ◽

Multivariate Time Series ◽

Model Based ◽

Ex Post ◽

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A Novel Time Series Prediction Model Based on Deep Sparse Autoencoder

2018 37th Chinese Control Conference (CCC) ◽

10.23919/chicc.2018.8482990 ◽

2018 ◽

Author(s):

Meiling Xu ◽

Yaguo Dong ◽

Zhan Li ◽

Min Han ◽

Tong Xing

Keyword(s):

Time Series ◽

Prediction Model ◽

Time Series Prediction ◽

Model Based ◽

Sparse Autoencoder

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Research on Drug Quality Risk Early Warning Model Based on Multiple Improved Optimizing Algorithm

2018 2nd IEEE Advanced Information Management,Communicates,Electronic and Automation Control Conference (IMCEC) ◽

10.1109/imcec.2018.8469475 ◽

2018 ◽

Author(s):

Lin Wei-Qiang ◽

Guo Xiao-Miri ◽

Zhou Zong-Liang ◽

Wu Kai

Keyword(s):

Early Warning ◽

Drug Quality ◽

Early Warning Model ◽

Model Based ◽

Quality Risk ◽

Optimizing Algorithm ◽

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