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Visual recognition of hexagonal headed bolts by comparing ICA to wavelets
Verification of Image-Based Neural Network Controllers Using Generative Models
UUV teams, control from a biological perspective
Using satellite images of nighttime lights to predict the economic impact of COVID-19 in India
Using explainable machine learning to understand how urban form shapes sustainable mobility
Using Deep Learning to Predict Unstable Approaches for General Aviation Aircraft
Urban traffic control based on learning agents
Unsupervised Learning of Finite Gaussian Mixture Models (GMMs): A Greedy Approach
Unconstrained licence plate and text localization and recognition
Trusted Autonomy: Autonomy and Autonomous Systems at NASA LaRC's Autonomy Incubator
Travel impedance, the built environment, and customized-bus ridership: A stop-to-stop level analysis
Transit electrification state of the art: A machine-learning based text mining approach
Trajectory classification in circular restricted three-body problem using support vector machine
Traffic sign recognition using evolutionary Adaboost detection and forest-ECOC classification
Tracking and Characterization of Resident Space Objects (RSO) Using COTS Star Trackers
Towards an Accident Severity Prediction System with Logistic Regression
Toward a Machine Learning Development Lifecycle for Product Certification and Approval in Aviation
Time-Series fuel consumption prediction assessing delay impacts on energy using vehicular trajectory
The Causality for Climate Challenge
Tensor Voting : A Perceptual Organization Approach to Computer Vision and Machine Learning
Taxi-Out Time Prediction for Departures at Charlotte Airport Using Machine Learning Techniques
Systematic TLE data improvement by neural network for most cataloged resident space objects
Surface EMG for Force Control of Mechanical Hands
Sunspot cycle prediction using Warped Gaussian process regression
Spatial disparity of individual and collective walking behaviors: A new theoretical framework
Smart School Bus Accident Monitoring System and Information Sharing with Authorities
Smart Monitoring of Drunk Driver Using IOT and Machine Learning Based Anomaly Detection
SmartDeviceLink as an Open Innovation Platform for Connected Car Features and Mobility Applications
Small Satellites and Innovations in Terminal and Teleport Design, Deployment, and Operation
Small-amplitude bogie hunting identification method for high-speed trains based on machine learning
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Sharing behavior in ride-hailing trips: A machine learning inference approach
Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties
Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties
Sensitivity Analysis of Reinforcement Learning-Based Hybrid Electric Vehicle Powertrain Control
Sensitivity Analysis and Optimization for a Trainer Aircraft Configuration
Self-supervised learning of primitive-based robotic manipulation
Self-Learning Control Strategy for Electrified Off-Highway Machines to Optimize Energy Efficiency