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Uncovering the evolution of tin use in the United States and its implications

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 6, doi: 10.1007/s11783-021-1406-6

Abstract:

• US tin use decreases as the GDP value added by manufacturing sector increases.

Keywords： Tin use GDP Curve fitting Logistic model Gompertz model

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Predicting SARS for Guangdong, Beijing and Mainland China 2003 Cases

Wang Jianfeng

Strategic Study of CAE 2003, Volume 5, Issue 8, Pages 23-29

Abstract:

The study is aimed at choosing a better predictive model for the accurate description of SARS in GuangdongIn order to model the SARS system, a generalized Logistic growth function has been adopted in the paperthe main features of evolution of the SARS population size have been obtained using the generalized Logisticgrowth model by optimizing technique.The practice of calculations has found that the Gompertz model gives the most accurate results where

Keywords： SARS generalized Logistic growth model Gompertz function prediction optimization

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Inhibitive effects of three compositae plants on

Weihao ZHANG, Fuqing XU, Wei HE, Xing ZHENG, Chen YANG

Frontiers of Environmental Science & Engineering 2009, Volume 3, Issue 1, Pages 48-55 doi: 10.1007/s11783-008-0065-1

Abstract: Logistic model analysis shows that compositae plants such as DC. causes the reduction of the habitat'sdetermine the similarity and differences between every experimental group and an average inhibitive rate model

Keywords： allelopathy compositae plants Microcystis aeruginosa inhibition rate logistic model

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Application of Vague Sets and Vague Graphics in ITS Logistic

Zhang Ran,Liu Yang,Xie Yanqing,Zhang Jiang,He Zhongxiong

Strategic Study of CAE 2004, Volume 6, Issue 8, Pages 57-63

Abstract: method, Vague multi-criterion decision-making, Vague graphics and their applications in the contemporary logisticAt last an example of Vague sets in logistic alterative selection according to the positive and negative

Keywords： intelligent logistic artificial intelligence Vague set Vague chart application in ITS logistic

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Sexual satisfaction and its influencing factors of postmenopausal women in rural areas

Jing Xiu,Yang Jigao,Liu Jun and Zhang Lihua

Strategic Study of CAE 2014, Volume 16, Issue 5, Pages 105-109

Abstract: The multivariate logistic regression analysis showed that the separation methods (odds ratio (OR) =1.711

Keywords： postmenopausal women sexual satisfaction influencing factor Logistic analysis

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Stochastic extra-gradient based alternating direction methods for graph-guided regularizedminimization None

Qiang LAN, Lin-bo QIAO, Yi-jie WANG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 6, Pages 755-762 doi: 10.1631/FITEE.1601771

Abstract: applications in machine learning follow the graph-guided optimization formulation, such as linear regression, logisticregression, Lasso, structured extensions of Lasso, and structured regularized logistic regression.We conduct experiments on fused logistic regression and graph-guided regularized regression.

Keywords： Stochastic optimization Graph-guided minimization Extra-gradient method Fused logistic regression Graph-guidedregularized logistic regression

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Application Research on Vehicle Routing Problem With Time Windows Based on Dynamic Ant Algorithm

Liu Yunzhong,Xuan Huiyu

Strategic Study of CAE 2005, Volume 7, Issue 12, Pages 35-40

Abstract: the idea of this new biological optimization strategy to vehicle routing problem with time windows in logistic

Keywords： ant algorithm vehicle routing problem with time windows logistic management dynamic

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Man-machine verification of mouse trajectory based on the random forestmodel Research Articles

Zhen-yi XU, Yu KANG, Yang CAO, Yu-xiao YANG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 7, Pages 925-929 doi: 10.1631/FITEE.1700442

Abstract: In this study, we propose a random forest (RF) model for man-machine verification based on the mouseWe also compare the RF model with the baseline models (logistic regression and support vector machineThe performance metrics of the RF model exceed those of the baseline models.

Keywords： Man-machine verification Random forest Support vector machine Logistic regression Performance metrics

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Presentation of machine learning methods to determine the most important factors affecting road traffic accidents on rural roads

Hamid MIRZAHOSSEIN; Milad SASHURPOUR; Seyed Mohsen HOSSEINIAN; Vahid Najafi Moghaddam GILANI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 5, Pages 657-666 doi: 10.1007/s11709-022-0827-z

Abstract: Multiple Logistic Regression (MLR) was used to predict the likelihood of RTAs.Results indicated that in MLR, the model obtained from the backward method with the correct percent ofMLP model, due to higher accuracy, showed that the variable of reason of accident had the highest effect

Keywords： safety rural accidents multiple logistic regression artificial neural networks

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Innovations in planning and design of Luojing Port area

Wu Peng

Strategic Study of CAE 2012, Volume 14, Issue 3, Pages 92-99

Abstract: Based on the traditional arrangement methods of public port, using the logistic concepts of just in time

Keywords： port planning and design transhipment port logistic port prolonged port service chain

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Warehouse automation by logistic robotic networks: a cyber-physical control approach Tutorial

Kai Cai,kai.cai@eng.osaka-cu.ac.jp

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 5, Pages 649-808 doi: 10.1631/FITEE.2000156

Abstract: achieves safe, deadlock-free, efficient, and adaptive behavior of multiple robots serving the goods-to-man logistic

Keywords：离散事件系统；信息物理系统；机器人网络；仓库自动化；物流

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Standard model of knowledge representation

Wensheng YIN

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 3, Pages 275-288 doi: 10.1007/s11465-016-0372-3

Abstract: methods include predicate logic, semantic network, computer programming language, database, mathematical modelintrinsic link between various knowledge representation methods, a unified knowledge representation modelAccording to ontology, system theory, and control theory, a standard model of knowledge representationThe model is composed of input, processing, and output.In addition, the standard model of knowledge representation provides a way to solve problems of non-precision

Keywords： knowledge representation standard model ontology system theory control theory multidimensional representation

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Zhang Zhengyan: Pre Training Language Model Integrating Knowledge (2020-4-3)

18 Apr 2022

Keywords：工程管理

State of the Art of Compartment Fire Modeling

Zheng Xin,Yuan Hongyong

Strategic Study of CAE 2004, Volume 6, Issue 3, Pages 68-74

Abstract: The relevant underlying physical assumptions are presented first and the conventional model performance

Keywords： compartment field model zone model network model FZN (field zone and network) model empirical model

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Elevated temperature creep model of parallel wire strands

Frontiers of Structural and Civil Engineering Pages 1060-1071 doi: 10.1007/s11709-023-0981-y

Abstract: analyze their creep behavior, this study experimentally investigated the elevated temperature creep modelThe parameters in the general empirical formula, the Bailey–Norton model, and the composite time-hardeningmodel were fitted based on the experimental results.By evaluating the accuracy and form of the models, the composite time-hardening model, which can simultaneously

Keywords： parallel wire strands experimental study elevated temperature creep model