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An automatic methodology to measure drivers’ behavior in public transport
Joint Pedestrian Motion State and Device Pose Classification
Maritime Vessel Detection and Classification in Harbor Environment Using Deep Learning
An Exposed Closed-Loop Model forCustomer-Driven Service Assurance Automation
Synthesizing neighborhood preferences for automated vehicles
Research on Vulnerable Road User Detection Algorithm based on Improved Deep Learning
Forecasting road traffic conditions using a context-based random forest algorithm
Recognition of Customers' Impulsivity from Behavioral Patterns in Virtual Reality
Domino effect in marine accidents: Evidence from temporal association rules
Generalizability of Code Clone Detection on CodeBERT
ML of Choosing: Architecting Intelligent Choice Framework
The Missing Link: Developing a Safety Case for Perception Components in Automated Driving
Performance evaluation and prediction of rudders based on machine learning technology
A crash severity analysis at highway-rail grade crossings: The random survival forest method
Optimizing Pipelined Computation and Communication for Latency-Constrained Edge Learning
Real-time accident detection: Coping with imbalanced data
Fusion of a machine learning approach and classical orbit predictions
Integration of machine learning and statistical models for crash frequency modeling
Machine learning based prediction of rail transit signal failure: A case study in the United States
Model learning for trajectory tracking of robot manipulators
Machine learning-driven algorithms for the container relocation problem
Personalized Driver Workload Estimation in Real-World Driving
Gait Reconstruction from Motion Artefact Corrupted Fabric-Embedded Sensors
Bike-sharing or taxi? Modeling the choices of travel mode in Chicago using machine learning
Development of Wave Overtopping Formulas for Inclined Seawalls using GMDH Algorithm
Sustainable Aviation Operations: Reducing the Impact of Aviation on our Planet
Development & Testing of a Camera-Based Driver Monitoring System
Forecasting total electron content (TEC) using CEEMDAN LSTM model
Sensitivity Analysis and Optimization for a Trainer Aircraft Configuration
Predicting Distillation Properties of Gasoline Fuel Blends using Machine Learning
Effectiveness of trip planner data in predicting short-term bus ridership
Investigating an SVM-driven, one-class approach to estimating ship systems condition
Traffic volume prediction on low-volume roadways: a Cubist approach