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A Multiagency Long Short-Term Model Beamforming Prediction Model for Cellular Vehicle to Everything
Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways
Accelerating In-Vehicle Network Intrusion Detection System Using Binarized Neural Network
Deep learning methods for automotive radar signal processing
Deep learning methods for automotive radar signal processing
Machine Learning Approach for Constructing Wet Clutch Torque Transfer Function
Detection & Tracking of Multi-Scenic Lane Based on Segnet-LSTM Semantic Split Network
Optimization of Antenna Coupling through Machine Learning for “Smart” TPMS Readers
Multi-task Learning of Semantics, Geometry and Motion for Vision-based End-to-End Self-Driving
Development of Wave Overtopping Formulas for Inclined Seawalls using GMDH Algorithm
The Optimal ANN Model for Predicting Bearing Capacity of Shallow Foundations trained on Scarce Data
Reliability of Jack-up against Punch-through using Failure State Intelligent Recognition Technique
Structural Damage Detection using Deep Convolutional Neural Network and Transfer Learning
Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties
Scour Depth Evaluation of a Bridge with a Complex Pier Foundation
Verfahren zur Klassifikation von Ungänzen bei der optischen Prüfung von Batterieseparatoren
Vibration-based Damage Detection in Bridges via Machine Learning
A Bayesian Learning Method for Structural Damage Assessment of Phase I IASC-ASCE Benchmark Problem
Metaheuristic Optimization of Reinforced Concrete Footings
Coordinated Ramp Metering with Equity Consideration Using Reinforcement Learning
Gaussian process regression for forecasting battery state of health
Study of Automatic Anomalous Behaviour Detection Techniques for Maritime Vessels
Artificial Neural Network–Based Traffic State Estimation Using Erroneous Automated Sensor Data
Modeling Human Learning and Cognition Structure: Application to Driver Behavior in Dilemma Zone
A Simple Opposition-based Greedy Heuristic Search for Dynamic Economic Thermal Power Dispatch
Probabilistic Wind Power Forecasting with Hybrid Artificial Neural Networks
Flexible Stochastic Frontier Approach to Predict Spot Speed in Two-Lane Highways
Comparative Analysis of Economic Viability with Distributed Energy Resources on Unit Commitment
Railway Maintenance Management Using a Stochastic Geometrical Degradation Model