Leveraging Artificial Intelligence in Engineering, Management, and Safety of Infrastructure
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Leveraging Artificial Intelligence in Engineering, Management, and Safety of Infrastructure
Naser, M.Z.
Taylor & Francis Ltd
10/2024
446
Mole
9781032305752
Pré-lançamento - envio 15 a 20 dias após a sua edição
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1. Convolutional Neural Networks and Applications on Civil Infrastructure 2. Identifying Non-linearity in Construction Workers' Personality: Safety Behaviour Predictive Relationship Using Neural Network and Linear Regression Modelling 3. Machine Learning Framework for Predicting Failure Mode and Flexural Capacity of FRP-Reinforced Beams 4. A Novel Formulation for Estimating Compressive Strength of High Performance Concrete Using Gene Expression Programming 5. Implementation of Data-Driven Approaches for Condition Assessment of Structures and Analyzing Complex Data 6. Automatic Detection of Surface Thermal Cracks in Structural Concrete with Numerical Correlation Analysis 7. State-of-the-Art Research in the Area of Artificial Intelligence with Specific Consideration to Civil Infrastructure, Construction Engineering and Management, and Safety 8. Artificial Intelligence in Concrete Materials: A Scientometric View 9. Active Learning Kriging-Based Reliability for Assessing the Safety of Structures: Theory and Application 10. A Bayesian Estimation Technique for Multilevel Damage Classification in DBHM 11. Machine learning and IoT Data for Concrete Performance Testing and Analysis 12. Knowledge-enhanced Deep Learning for Efficient Response Estimation of Nonlinear Structures 13. Damage Detection in Reinforced Concrete Girders by Finite Element and Artificial Intelligence Synergy 14. Deep Learning in Transportation Cyber-Physical Systems 15. Artificial Intelligence in the Construction Industry: Theory and Emerging Applications for the Future of Work 16. The Use of Machine Learning in Heat Transfer Analysis for Structural Fire Engineering Applications 17. Using Artificial Intelligence to Derive Temperature Dependent Mechanical Properties of Ultra-High Performance Concrete 18. Smart Tunnel Fire Safety Management by Sensor Network and Artificial Intelligence
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
civil engineering, design, AI, algorithm, smart structures;smart infrastructure, modern design, metaheuristic;genetic programming, neural network, symbolic regression;k-NN, Naive Bayes, generalized linear model;logistic regression, fast large margin, deep learning, decision tree;gradient boosted trees, support vector machine;deep learning, pattern recognition, classification;clustering, computer vision, urban planning, evacuation;Nonlinear SDOF System;RGB Camera;Half Vehicle Model;CNN Structure;Ann Model;Support Vector Regression;Ai Model;Dl Model;SVM;Develop Ann Model;HPC;Ai Technique;GEP Model;High Fidelity Fem;MCS Trial;Delta Errors;Kriging Predictor;Tunnel Fire;CSA S806;FRP Bar;Hyperparameter Tuning;High Temperature Mechanical Properties;Temperature Dependent Mechanical Properties;Digital Twin;RBF Kernel
1. Convolutional Neural Networks and Applications on Civil Infrastructure 2. Identifying Non-linearity in Construction Workers' Personality: Safety Behaviour Predictive Relationship Using Neural Network and Linear Regression Modelling 3. Machine Learning Framework for Predicting Failure Mode and Flexural Capacity of FRP-Reinforced Beams 4. A Novel Formulation for Estimating Compressive Strength of High Performance Concrete Using Gene Expression Programming 5. Implementation of Data-Driven Approaches for Condition Assessment of Structures and Analyzing Complex Data 6. Automatic Detection of Surface Thermal Cracks in Structural Concrete with Numerical Correlation Analysis 7. State-of-the-Art Research in the Area of Artificial Intelligence with Specific Consideration to Civil Infrastructure, Construction Engineering and Management, and Safety 8. Artificial Intelligence in Concrete Materials: A Scientometric View 9. Active Learning Kriging-Based Reliability for Assessing the Safety of Structures: Theory and Application 10. A Bayesian Estimation Technique for Multilevel Damage Classification in DBHM 11. Machine learning and IoT Data for Concrete Performance Testing and Analysis 12. Knowledge-enhanced Deep Learning for Efficient Response Estimation of Nonlinear Structures 13. Damage Detection in Reinforced Concrete Girders by Finite Element and Artificial Intelligence Synergy 14. Deep Learning in Transportation Cyber-Physical Systems 15. Artificial Intelligence in the Construction Industry: Theory and Emerging Applications for the Future of Work 16. The Use of Machine Learning in Heat Transfer Analysis for Structural Fire Engineering Applications 17. Using Artificial Intelligence to Derive Temperature Dependent Mechanical Properties of Ultra-High Performance Concrete 18. Smart Tunnel Fire Safety Management by Sensor Network and Artificial Intelligence
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
civil engineering, design, AI, algorithm, smart structures;smart infrastructure, modern design, metaheuristic;genetic programming, neural network, symbolic regression;k-NN, Naive Bayes, generalized linear model;logistic regression, fast large margin, deep learning, decision tree;gradient boosted trees, support vector machine;deep learning, pattern recognition, classification;clustering, computer vision, urban planning, evacuation;Nonlinear SDOF System;RGB Camera;Half Vehicle Model;CNN Structure;Ann Model;Support Vector Regression;Ai Model;Dl Model;SVM;Develop Ann Model;HPC;Ai Technique;GEP Model;High Fidelity Fem;MCS Trial;Delta Errors;Kriging Predictor;Tunnel Fire;CSA S806;FRP Bar;Hyperparameter Tuning;High Temperature Mechanical Properties;Temperature Dependent Mechanical Properties;Digital Twin;RBF Kernel
