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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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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: In 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 Logistic

Keywords： SARS     generalized Logistic growth model     Gompertz function     prediction     optimization    

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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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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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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's

Keywords： allelopathy     compositae plants     Microcystis aeruginosa     inhibition rate     logistic model    

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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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Development Strategy of Intelligent Ship Engineering Technology

Lang Shuyan, Zeng Xiaoguang, Zhang Min

Strategic Study of CAE 2019, Volume 21, Issue 6,   Pages 27-32 doi: 10.15302/J-SSCAE-2019.06.005

Abstract:

With the rapid development of emerging technologies, intelligent shipIn this study, we introduced the technical classification of intelligent ships, summarized the currentdevelopment status of intelligent ship technology in China and abroad, studied the characteristics ofFurthermore, we suggest that China should pay equal attention to R & D and application of the intelligent

Keywords： ship intelligention     intelligent ship technology     intelligent ship    

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Intelligent Products and Equipment Led by New-Generation Artificial Intelligence

Tan Jianrong, Liu Zhenyu, Xu Jinghua

Strategic Study of CAE 2018, Volume 20, Issue 4,   Pages 35-43 doi: 10.15302/J-SSCAE-2018.04.007

Abstract:

Intelligent products and equipment is the value carrier, technologicalprerequisite and material base of intelligent manufacturing and service.The intelligent products and equipment refers to two dialectical aspects: on the one hand, commercializationof intelligent technology, turning intelligence technology into products, which is mainly reflectedmanufacturing equipment, intelligent production, and intelligent management.

Keywords： intelligent products and equipment     knowledge engineering     intelligent state sensing     intelligent variationadaptation     intelligent knowledge learning     intelligent control decision    

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New technology foresight method based on intelligent knowledge management

Lingling ZHANG, Siting HUANG

Frontiers of Engineering Management 2020, Volume 7, Issue 2,   Pages 238-247 doi: 10.1007/s42524-019-0062-z

Abstract: Intelligent knowledge management emphasizes human–machine integration, which combines the advantagesThus, we proposed a new technology foresight method based on intelligent knowledge management.

Keywords： technology foresight     intelligent knowledge management     technological online platform    

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Intelligent Forecasting Mode and Approach of Mid and Long Term Intelligent Hydrological Forecasting

Chen Shouyu,Guo Yu,Wang Dagang

Strategic Study of CAE 2006, Volume 8, Issue 7,   Pages 30-35

Abstract:

Intelligent calculating tools such as fuzzy optimization approaches, BP neural network and geneticorganically synthesizes fuzzy optimal selection, BP neural network and genetic algorithm and establishes intelligentThe results are highly promising and show that the operation speed, precision and stability of intelligent

Keywords： fuzzy optimal selection     BP neural network     genetic algorithm     intelligent forecasting mode     mid and longterm intelligent hydrological forecasting    

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Intelligent Petroleum Engineering Perspective

Mohammad Ali Mirza, Mahtab Ghoroori, Zhangxin Chen

Engineering 2022, Volume 18, Issue 11,   Pages 27-32 doi: 10.1016/j.eng.2022.06.009

Abstract:

Data-driven approaches and AI algorithms are promising enough to be relied on even more than physics-based methods; their main feed is data which is the fundamental element of each phenomenon. These algorithms learn from data and unveil unseen patterns out of it. The petroleum industry as a realm where huge volumes of data are generated every second is of great interest to this new technology. As the oil and gas industry is in the transition phase to oilfield digitization, there has been an increased drive to integrate data-driven modeling and machine learning algorithms in different petroleum engineering challenges. ML has been widely used in different areas of the industry. Many extensive studies have been devoted to exploring AI applicability in various disciplines of this industry; however, lack of two main features is noticeable. Most of the research is either not practical enough to be applicable in real-field challenges or limited to a specific problem and not generalizable. Attention must be given to data itself and the way it is classified and stored. Although there are sheer volumes of data coming from different disciplines, they reside in departmental silos and are not accessible by consumers. In order to derive as much insight as possible out of data, the data needs to be stored in a centralized repository from where the data can be readily consumed by different applications.
 

Keywords： Artificial intelligence     Machine learning     Intelligent reservoir engineering     Text mining     Intelligentgeoscience     Intelligent drilling engineering    

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Intelligent Manufacturing of Special Equipment Based on Intelligent Connection

Liu Sanjiang, Chen Zuzhi, Shi Kun, Li Guanghai

Strategic Study of CAE 2020, Volume 22, Issue 6,   Pages 143-150 doi: 10.15302/J-SSCAE-2020.06.019

Abstract: Implementing intelligent manufacturing in the special equipment field could facilitate the transformation, intelligent quality management, and real-time monitoring of dynamic risks.Based on this, intelligent connection is introduced as a technology path for developing intelligent manufacturingof special equipment, and the concept of intelligent connection is further analyzed.equipment and developing intelligent applications.

Keywords： special equipment     intelligent manufacturing     intelligent connection     parallel development    

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Intelligent Drilling and Completion: A Review Review

Gensheng Li,Xianzhi Song,Shouceng Tian,Zhaopeng Zhu,

Engineering 2022, Volume 18, Issue 11,   Pages 33-48 doi: 10.1016/j.eng.2022.07.014

Abstract: In recent years, numerous studies have focused on intelligent algorithms and their application.Additionally, in intelligent drilling and completion, methods for the fusion of data-driven and physicsbasedmodels, few-sample learning, uncertainty modeling, and the interpretability and transferability of intelligentBased on intelligent application scenarios, this study comprehensively reviews the research status ofintelligent drilling and completion and discusses key research areas in the future.

Keywords： Intelligent drilling and completion     Artificial intelligence     Intelligent application scenarios     Literature    

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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: We also compare the RF model with the baseline models (logistic regression and support vector machine

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

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Title Author Date Type Operation

Application of Vague Sets and Vague Graphics in ITS Logistic

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

Journal Article

Predicting SARS for Guangdong, Beijing and Mainland China 2003 Cases

Wang Jianfeng

Journal Article

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

Journal Article

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

Jing Xiu,Yang Jigao,Liu Jun and Zhang Lihua

Journal Article

Inhibitive effects of three compositae plants on

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

Journal Article

Stochastic extra-gradient based alternating direction methods for graph-guided regularizedminimization

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

Journal Article

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

Liu Yunzhong,Xuan Huiyu

Journal Article

Development Strategy of Intelligent Ship Engineering Technology

Lang Shuyan, Zeng Xiaoguang, Zhang Min

Journal Article

Intelligent Products and Equipment Led by New-Generation Artificial Intelligence

Tan Jianrong, Liu Zhenyu, Xu Jinghua

Journal Article

New technology foresight method based on intelligent knowledge management

Lingling ZHANG, Siting HUANG

Journal Article

Intelligent Forecasting Mode and Approach of Mid and Long Term Intelligent Hydrological Forecasting

Chen Shouyu,Guo Yu,Wang Dagang

Journal Article

Intelligent Petroleum Engineering

Mohammad Ali Mirza, Mahtab Ghoroori, Zhangxin Chen

Journal Article

Intelligent Manufacturing of Special Equipment Based on Intelligent Connection

Liu Sanjiang, Chen Zuzhi, Shi Kun, Li Guanghai

Journal Article

Intelligent Drilling and Completion: A Review

Gensheng Li,Xianzhi Song,Shouceng Tian,Zhaopeng Zhu,

Journal Article

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

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

Journal Article