Task-Driven QoS Prediction Model Based on the Case Library in Cloud Manufacturing

Communications in Computer and Information Science - Recent Advances in Intelligent Manufacturing ◽

10.1007/978-981-13-2396-6_26 ◽

2018 ◽

pp. 279-289

Author(s):

Jian Liu ◽

Youling Chen ◽

Long Wang ◽

Yufei Niu ◽

Lidan Zuo ◽

...

Keyword(s):

Prediction Model ◽

Cloud Manufacturing ◽

Case Library ◽

Qos Prediction ◽

Model Based

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Study on the Parameter Calibration of Interactive Highway Safety Design Model Based on China Interchange Accident Prediction Model

CICTP 2020 ◽

10.1061/9780784483053.175 ◽

2020 ◽

Author(s):

Aosiman Yilixiati ◽

Xiaowei Ren ◽

Shaoxiang Yang ◽

Tao Hu ◽

Delong Xiang

Keyword(s):

Prediction Model ◽

Highway Safety ◽

Design Model ◽

Parameter Calibration ◽

Accident Prediction ◽

Model Based ◽

Safety Design

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Difference between Cognition and Measured Intensity of Bench Press and Squat for Weight Training Beginner and Trained Group, and the Development of 1-RM Prediction Model Based on Cognition Intensity

The Official Journal of the Korean Academy of Kinesiology ◽

10.15758/jkak.2013.15.4.1 ◽

2013 ◽

Vol 15 (4) ◽

pp. 1-12

Author(s):

ByungKun Lee

Keyword(s):

Prediction Model ◽

Bench Press ◽

Weight Training ◽

Trained Group ◽

Measured Intensity ◽

Model Based

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Online Prediction Model Based on New Kernel Method

International Review of Automatic Control (IREACO) ◽

10.15866/ireaco.v7i1.1299 ◽

2014 ◽

Vol 7 (1) ◽

pp. 107

Author(s):

Ilyes Elaissi ◽

Okba Taouali ◽

Messaoud Hassani

Keyword(s):

Prediction Model ◽

Kernel Method ◽

Model Based ◽

Online Prediction

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Hierarchical Prediction Model Based on BP Neural Network for Predicting CO/CO2in Iron Ore Sintering Process

2018 37th Chinese Control Conference (CCC) ◽

10.23919/chicc.2018.8482610 ◽

2018 ◽

Author(s):

Ben Xu ◽

Xin Chen ◽

Yang Zhou

Keyword(s):

Neural Network ◽

Prediction Model ◽

Bp Neural Network ◽

Iron Ore ◽

Sintering Process ◽

Iron Ore Sintering ◽

Model Based ◽

Iron Ore Sintering Process ◽

Ore Sintering

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Research of Software Defect Prediction Model Based on ACO-SVM

Chinese Journal of Computers ◽

10.3724/sp.j.1016.2011.01148 ◽

2011 ◽

Vol 34 (6) ◽

pp. 1148-1154 ◽

Cited By ~ 13

Author(s):

Hui-Yan JIANG ◽

Mao ZONG ◽

Xiang-Ying LIU

Keyword(s):

Prediction Model ◽

Defect Prediction ◽

Software Defect Prediction ◽

Model Based ◽

Software Defect

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The software fault prediction model based on the AltaRica language

2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) ◽

10.1109/itnec.2019.8729235 ◽

2019 ◽

Author(s):

Jingyu Song ◽

Bo Chen ◽

Xueliang Li ◽

Yi Yang ◽

Chang Liu ◽

...

Keyword(s):

Prediction Model ◽

Fault Prediction ◽

Software Fault Prediction ◽

Model Based ◽

Software Fault

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A Short-term Traffic Speed Prediction Model Based on LSTM Networks

International Journal of Intelligent Transportation Systems Research ◽

10.1007/s13177-021-00260-7 ◽

2021 ◽

Author(s):

Yu-Ling Hsueh ◽

Yu-Ren Yang

Keyword(s):

Prediction Model ◽

Short Term ◽

Model Based ◽

Speed Prediction ◽

Traffic Speed

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A multilogarithm linear regression traff ic congestion prediction model based on R language New York City's five asministrative districts (mainly in urban main roads and highways)

2020 International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE) ◽

10.1109/icbase51474.2020.00066 ◽

2020 ◽

Author(s):

Haojia Xin ◽

Shihan Liu ◽

Tingwei Li

Keyword(s):

New York ◽

Linear Regression ◽

Prediction Model ◽

R Language ◽

Model Based ◽

Congestion Prediction

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Application of ESN Prediction Model Based on Compressed Sensing in Stock Market

Communications in Nonlinear Science and Numerical Simulation ◽

10.1016/j.cnsns.2021.105857 ◽

2021 ◽

pp. 105857

Author(s):

Hao Zhang ◽

Mingwen Zheng ◽

Yanping Zhang ◽

Xiao Yu ◽

Wenchao Li ◽

...

Keyword(s):

Stock Market ◽

Compressed Sensing ◽

Prediction Model ◽

Model Based

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Prediction model based on the Laplacian eigenmap method combined with a random forest algorithm for rainstorm satellite images during the first annual rainy season in South China

Natural Hazards ◽

10.1007/s11069-021-04585-0 ◽

2021 ◽

Author(s):

Xiao-yan Huang ◽

Li He ◽

Hua-sheng Zhao ◽

Ying Huang ◽

Yu-shuang Wu

Keyword(s):

Random Forest ◽

Prediction Model ◽

South China ◽

Rainy Season ◽

Satellite Images ◽

Random Forest Algorithm ◽

Model Based

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