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    Slope Collapse Prediction Using Bayesian Framework with K-Nearest Neighbor Density Estimation: Case Study in Taiwan 

    Source: Journal of Computing in Civil Engineering:;2016:;Volume ( 030 ):;issue: 001
    Author(s): Min-Yuan Cheng; Nhat-Duc Hoang
    Publisher: American Society of Civil Engineers
    Abstract: Slope failures across mountain roads can damage man-made structures, interrupt traffic, and give rise to fatal accidents. Disastrous consequences of these hazards necessitate the approach for predicting their occurrences. ...
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    Predicting Colonization Growth of Algae on Mortar Surface with Artificial Neural Network 

    Source: Journal of Computing in Civil Engineering:;2016:;Volume ( 030 ):;issue: 006
    Author(s): Thu-Hien Tran; Nhat-Duc Hoang
    Publisher: American Society of Civil Engineers
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    Slope Collapse Prediction Using Bayesian Framework with K-Nearest Neighbor Density Estimation: Case Study in Taiwan 

    Source: Journal of Computing in Civil Engineering:;2016:;Volume ( 030 ):;issue: 001
    Author(s): Min-Yuan Cheng; Nhat-Duc Hoang
    Publisher: American Society of Civil Engineers
    Abstract: Slope failures across mountain roads can damage man-made structures, interrupt traffic, and give rise to fatal accidents. Disastrous consequences of these hazards necessitate the approach for predicting their occurrences. ...
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    A Novel Relevance Vector Machine Classifier with Cuckoo Search Optimization for Spatial Prediction of Landslides 

    Source: Journal of Computing in Civil Engineering:;2016:;Volume ( 030 ):;issue: 005
    Author(s): Nhat-Duc Hoang; Dieu Tien Bui
    Publisher: American Society of Civil Engineers
    Abstract: In mountainous regions, landslides are the typical disasters that have brought about significant losses of human life and property. Therefore, the capability of making accurate landslide assessments is very useful for ...
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    A Novel Relevance Vector Machine Classifier with Cuckoo Search Optimization for Spatial Prediction of Landslides 

    Source: Journal of Computing in Civil Engineering:;2016:;Volume ( 030 ):;issue: 005
    Author(s): Nhat-Duc Hoang; Dieu Tien Bui
    Publisher: American Society of Civil Engineers
    Abstract: In mountainous regions, landslides are the typical disasters that have brought about significant losses of human life and property. Therefore, the capability of making accurate landslide assessments is very useful for ...
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    Risk Score Inference for Bridge Maintenance Project Using Evolutionary Fuzzy Least Squares Support Vector Machine 

    Source: Journal of Computing in Civil Engineering:;2014:;Volume ( 028 ):;issue: 003
    Author(s): Min-Yuan Cheng; Nhat-Duc Hoang
    Publisher: American Society of Civil Engineers
    Abstract: Bridges are essential infrastructure of the transportation network. Therefore, maintenance tasks are mandatory to prevent these structures from degradation over time. In practice, funding availability for maintenance ...
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    Groutability Estimation of Grouting Processes with Microfine Cements Using an Evolutionary Instance-Based Learning Approach 

    Source: Journal of Computing in Civil Engineering:;2014:;Volume ( 028 ):;issue: 004
    Author(s): Min-Yuan Cheng; Nhat-Duc Hoang
    Publisher: American Society of Civil Engineers
    Abstract: In the construction industry, estimating groutability is a crucial task in the planning phase of a grouting project. Hence, establishing an effective groutability prediction model that is simple to implement and can deliver ...
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    Predicting Compressive Strength of High-Performance Concrete Using Metaheuristic-Optimized Least Squares Support Vector Regression 

    Source: Journal of Computing in Civil Engineering:;2016:;Volume ( 030 ):;issue: 003
    Author(s): Anh-Duc Pham; Nhat-Duc Hoang; Quang-Trung Nguyen
    Publisher: American Society of Civil Engineers
    Abstract: This research establishes a novel model for predicting high-performance concrete (HPC) compressive strength, which hybridizes the firefly algorithm (FA) and the least squares support vector regression (LS-SVR). The LS-SVR ...
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    Predicting Compressive Strength of High-Performance Concrete Using Metaheuristic-Optimized Least Squares Support Vector Regression 

    Source: Journal of Computing in Civil Engineering:;2016:;Volume ( 030 ):;issue: 003
    Author(s): Anh-Duc Pham; Nhat-Duc Hoang; Quang-Trung Nguyen
    Publisher: American Society of Civil Engineers
    Abstract: This research establishes a novel model for predicting high-performance concrete (HPC) compressive strength, which hybridizes the firefly algorithm (FA) and the least squares support vector regression (LS-SVR). The LS-SVR ...
    Request PDF
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     

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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian