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title: Computational Intelligence for Traffic and Mobility
Autonomy to Enable NASA Missions from Aeronautics to Space
Assessing the Suitability of Different Machine Learning Approaches for Smart Traffic Mobility
Emergency Vehicle Recognition Via Automated Smart Traffic Manager
Reinforcement Learning Model for Traffic Control in Urban Area
RODAD: Resilience Oriented Decentralized Anomaly Detection for Urban Air Mobility Networks
Urban Traffic Density Estimation from Vehicle-mounted Camera for Real-time Application
Design of an Adaptive Traffic Light Network System through an AIoT-based Analytic Model
Effects of Dynamic and Stochastic Travel Times on the Operation of Mobility-on-Demand Services
A More Efficient Way to Control Traffic Lights Through AI-Led Smart City Management
RF And Computer Vision Based Warning System For Minimizing Road Accidents
Multi-Scale Occluded Pedestrian Detection Based on Deep Learning
Design of Rectangular Slotted Microstrip Patch Antenna for V2V Communication at 38GHz
Improving Vehicle Detection using Ghost Convolution and GhostBottleneck layers in YOLOv5s