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A Grey Box Model Approach for the Prediction of Tire Energy Loss
Smart Monitoring of Drunk Driver Using IOT and Machine Learning Based Anomaly Detection
Systematic TLE data improvement by neural network for most cataloged resident space objects
Development of a Language Model for Named-Entity-Recognition in Aerospace Requirements
Natural-Language-Processing-Enabled Quantitative Risk Analysis of Aerial Wildfire Operations
Self-supervised learning of primitive-based robotic manipulation
A Machine Learning Approach to Load Tracking and Usage Monitoring for Legacy Fleets
Automated Spoken-to-Coded Pilot Weather Reports in General Aviation
Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Framework for Offline Data-Driven Aircraft Fault Diagnosis
Smart School Bus Accident Monitoring System and Information Sharing with Authorities
Bundle selection approaches for collaborative practical-oriented Pickup and Delivery Problems
Application of the Apriori Algorithm for Traffic Crash Analysis in Thailand
Feasibility and analysis of CNN-based candidate beam generation for robotic radiosurgery