Search
Now showing items 1-9 of 9
Slope Collapse Prediction Using Bayesian Framework with K-Nearest Neighbor Density Estimation: Case Study in Taiwan
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. ...
Predicting Colonization Growth of Algae on Mortar Surface with Artificial Neural Network
Publisher: American Society of Civil Engineers
Slope Collapse Prediction Using Bayesian Framework with K-Nearest Neighbor Density Estimation: Case Study in Taiwan
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. ...
A Novel Relevance Vector Machine Classifier with Cuckoo Search Optimization for Spatial Prediction of Landslides
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 ...
A Novel Relevance Vector Machine Classifier with Cuckoo Search Optimization for Spatial Prediction of Landslides
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 ...
Risk Score Inference for Bridge Maintenance Project Using Evolutionary Fuzzy Least Squares Support Vector Machine
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 ...
Groutability Estimation of Grouting Processes with Microfine Cements Using an Evolutionary Instance-Based Learning Approach
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 ...
Predicting Compressive Strength of High-Performance Concrete Using Metaheuristic-Optimized Least Squares Support Vector Regression
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 ...
Predicting Compressive Strength of High-Performance Concrete Using Metaheuristic-Optimized Least Squares Support Vector Regression
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 ...
CSV
RIS