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Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Examining active travel behavior through explainable machine learning: Insights from Beijing, China
A time-use activity-pattern recognition model for activity-based travel demand modeling
A time-use activity-pattern recognition model for activity-based travel demand modeling
Accelerating In-Vehicle Network Intrusion Detection System Using Binarized Neural Network
Interpretable data-driven demand modelling for on-demand transit services
Real-Time Traffic Sign Detection Under Foggy Condition
Nonlinear and threshold effects of the built environment on e-scooter sharing ridership
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Estimation of daily bicycle traffic using machine and deep learning techniques
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
Learning motion skills for a humanoid robot
Time-Series fuel consumption prediction assessing delay impacts on energy using vehicular trajectory
2021 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW) : 21-23 June 2021
Latent State-Space Models for Control
Multi-task Learning of Semantics, Geometry and Motion for Vision-based End-to-End Self-Driving
Imputing trip purposes for long-distance travel
Imputing trip purposes for long-distance travel
Tree-Based Ensemble Methods: Predicting Asphalt Mixture Dynamic Modulus for Flexible Pavement Design
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Overview of Catenary Detection of Electrified Railways
2019 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW)
Parking Availability Prediction in Smart City
2017 Cognitive Communications for Aerospace Applications Workshop (CCAA) : 27-28 June 2017
Advanced driver assistance system supporting routing and navigation for fully electric vehicles
Machine learning for multi-jurisdictional optimal traffic corridor control
Catenary Support Components and Their Characteristics in High-Speed Railways
Transportation Mode Detection by Using Smartphones and Smartwatches with Machine Learning
Flood Hazard Rating Prediction for Urban Areas Using Random Forest and LSTM
Prediction of the Impact of Typhoons on Transportation Networks with Support Vector Regression
A Software Scheme for UAV's Safe Landing Area Discovery
Neural Networks and Advanced Algorithms for Intelligent Monitoring in Industry