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RISPredicting Disputes in Public-Private Partnership Projects: Classification and Ensemble Models
Publisher: American Society of Civil Engineers
Abstract: Proactively forecasting disputes in the initiation phase of public-private partnership (PPP) projects can considerably reduce the effort, time, and cost of managing potential claims. This comprehensive study compared ...
Critical Process and Factors for Ex-Post Evaluation of Public-Private Partnership Infrastructure Projects in Indonesia
Publisher: American Society of Civil Engineers
Optimized Lightweight Edge Computing Platform for UAV-Assisted Detection of Concrete Deterioration beneath Bridge Decks
Publisher: American Society of Civil Engineers
Abstract: This study introduces a transformative artificial intelligence of things (AIoT) framework that advances bridge maintenance by incorporating advanced inspection techniques. A central innovation is the Pilgrimage Walk ...
Optimized Lightweight Edge Computing Platform for UAV-Assisted Detection of Concrete Deterioration beneath Bridge Decks
Publisher: American Society of Civil Engineers
Abstract: This study introduces a transformative artificial intelligence of things (AIoT) framework that advances bridge maintenance by incorporating advanced inspection techniques. A central innovation is the Pilgrimage Walk ...
Peak Shear Strength of Discrete Fiber-Reinforced Soils Computed by Machine Learning and Metaensemble Methods
Publisher: American Society of Civil Engineers
Abstract: The accuracy of prior theoretical and empirical models for predicting the shear strength of fiber-reinforced soil (FRS) is questionable because of the difficulty of using these simplified models to describe the complex ...
Shear Strength Prediction in Reinforced Concrete Deep Beams Using Nature-Inspired Metaheuristic Support Vector Regression
Publisher: American Society of Civil Engineers
Abstract: The shear strength of reinforced concrete (RC) deep beams is a dynamic phenomenon that varies with many mechanical and geometrical factors. Accurately estimating shear strength in RC deep beams is a vital issue in engineering ...
Shear Strength Prediction in Reinforced Concrete Deep Beams Using Nature-Inspired Metaheuristic Support Vector Regression
Publisher: American Society of Civil Engineers
Abstract: The shear strength of reinforced concrete (RC) deep beams is a dynamic phenomenon that varies with many mechanical and geometrical factors. Accurately estimating shear strength in RC deep beams is a vital issue in engineering ...
Nature-Inspired Metaheuristic Regression System: Programming and Implementation for Civil Engineering Applications
Publisher: American Society of Civil Engineers
Abstract: Developing an expert system has been considered as complex and knowledge driven process. This study proposes a nature-inspired metaheuristic regression system that can find appropriate solutions. The system uses a graphical ...