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Maschinelles Lernen
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keywords:("Maschinelles Lernen")
UUV teams, control from a biological perspective
Using satellite images of nighttime lights to predict the economic impact of COVID-19 in India
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
Trajectory classification in circular restricted three-body problem using support vector machine
Tracking and Characterization of Resident Space Objects (RSO) Using COTS Star Trackers
The Causality for Climate Challenge
Tensor Voting : A Perceptual Organization Approach to Computer Vision and Machine Learning
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
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
Self-supervised learning of primitive-based robotic manipulation
Scaling uncertainties on asteroid characteristics to prepare datasets for machine learning
Sampling-based exploration strategies for mobile robot autonomy
Revisited: Machine Intelligence in Heterogeneous Multi-Agent Systems
Research on the air brake system of heavy haul trains based on neural network
Railway Bogie Diagnostics Using Machine Learning and Bayesian Net Reasoning Approaches
Prediction of Zenith tropospheric delay in GNSS observations using support vector regression
Prediction of ionospheric total electron content data using spatio-temporal residual network
Prediction of finger movements using ultrasound images
Physics-informed regression of implicitly-constrained robot dynamics
Pattern recognition for nondestructive evaluation
Optimization of Pin Fins Using Computational Fluid Dynamics and Machine Learning
Neural network full-body human predictive models and their use for coordinated robot motion planning
Network Control Systems for Large-Scale Constellations
Multi-objective optimization of low-thrust propulsion systems for multi-target missions using ANNs
Modelling inland Arctic bathymetry from space using cloud-based machine learning and Sentinel-2