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Maschinelles Lernen
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UUV teams, control from a biological perspective
Using a decision tree to compare rural versus highway motorcycle fatalities in Thailand
Urban traffic control based on learning agents
Unsupervised Learning of Finite Gaussian Mixture Models (GMMs): A Greedy Approach
Uncovering the identity of Electronic Markets research through text mining techniques
Unconstrained licence plate and text localization and recognition
TUDOR tip position control with Neural Networks
Trusted Autonomy: Autonomy and Autonomous Systems at NASA LaRC's Autonomy Incubator
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
The Causality for Climate Challenge
Tensor Voting : A Perceptual Organization Approach to Computer Vision and Machine Learning
Systematizing the lexicon of platforms in information systems: a data-driven study
Surface EMG for Force Control of Mechanical Hands
Smart School Bus Accident Monitoring System and Information Sharing with Authorities
Smart Monitoring of Drunk Driver Using IOT and Machine Learning Based Anomaly Detection
Smart Event Forecast for Seaports (SMECS) : Schlussbericht : Projektlaufzeit: 01.09.2017-29.02.2020
Smart Event Forecast for Seaports (SMECS) : Schlussbericht : Projektlaufzeit: 01.09.2017-29.02.2020
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
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
Sampling-based exploration strategies for mobile robot autonomy
SafeAeroBERT: Towards a Safety-Informed Aerospace-Specific Language Model
Robot-human-learning for robotic picking processes
Revolutionizing Transportation: Advancements in Robot-Assisted Mobility Systems
Revisited: Machine Intelligence in Heterogeneous Multi-Agent Systems
Research on the air brake system of heavy haul trains based on neural network
Real-time demand forecasting for an urban delivery platform
Railway Bogie Diagnostics Using Machine Learning and Bayesian Net Reasoning Approaches
Prognostics and Machine Learning to Assess Embedded Delamination Tolerance in Composites