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A Bayesian Learning Method for Structural Damage Assessment of Phase I IASC-ASCE Benchmark Problem
A Bayesian Learning Method for Structural Damage Assessment of Phase I IASC-ASCE Benchmark Problem
A Damage Localization Approach for Rahmen Bridge Based on Convolutional Neural Network
Adaptive dynamic programming for multi-intersections traffic signal intelligent control
Adaptive multi-sensor integration for mine detection
Adaptive Real-Time Clustering Method for Dynamic Visual Tracking of Very Flexible Wings
Adaptive sliding controller for active suspension system
A Deep Learning-Based Procedure for Safety Evaluation of Steel Frames Using Advanced Analysis
A deep learning method for the prediction of 6-DoF ship motions in real conditions
Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets
A fuzzy system for automotive fault diagnosis: fast rule generation and self-tuning
A Machine Learning Tool for Pavement Design and Analysis
An accurate COG defuzzifier design by the co-adaptation of learning and evolution
An Ant Colony Optimization using training data applied to UAV way point path planning in wind
An architectural framework for self-configuration and self-improvement at runtime
A new scheme for vision based flying vehicle detection using motion flow vectors classification
An Interactive Conflict Solver for Learning Air Traffic Conflict Resolutions
Anomaly Detection for Agile Satellite Attitude Control System Using Hybrid Deep-Learning Technique
Anomaly Detection Using Deep Learning Respecting the Resources on Board a CubeSat
An optimized metamodel for predicting damage and oil outflow in tanker collision accidents
A Possibility of AI Application on Mode-choice Prediction of Transport Users in Hanoi
Applicability of machine learning in uncertainty quantification of turbulence models
Applicability of machine learning in uncertainty quantification of turbulence models
Application of Convolution Neural Network for Adaptive Traffic Controller System
Application of fuzzy neural network to aero-engine controller design
Application of Machine Learning to the Analysis and Assessment of Airport Operations
Application of the Shortest-Path Problem to Routing Terminal Airspace Air Traffic
A reinforcement learning model for personalized driving policies identification
Artificial Neural Network–Based Traffic State Estimation Using Erroneous Automated Sensor Data
A state-of-the-art survey of deep learning models for automated pavement crack segmentation
A System Approach to Navy Medical Education and Training. Volume II
A theory of `Reciprocal Learning' in dyads