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maschinelles Lernen
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Introduction to the Virtual Collection on Machine Learning in Aerospace
The Causality for Climate Challenge
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
AI-based Wave Prediction in Complex Plasmas
Examining optoelectronics in machine vision and applications in industry 4.0
Generalizability of Code Clone Detection on CodeBERT
A data-driven dynamics simulation framework for railway vehicles
Small-amplitude bogie hunting identification method for high-speed trains based on machine learning
Friction-adaptive stochastic nonlinear model predictive control for autonomous vehicles
Modeling of aircraft fuel consumption using machine learning algorithms
Modeling of aircraft fuel consumption using machine learning algorithms
Prediction of finger movements using ultrasound images
Machine learning approaches for detection of robot errors in human brain signals
An Artificial Neural Network Approach to Predict Rotor-Airframe Acoustic Waveforms
Research on the air brake system of heavy haul trains based on neural network
Data-driven train set crash dynamics simulation
Data-driven train set crash dynamics simulation
Prediction of Zenith tropospheric delay in GNSS observations using support vector regression
Data-Driven Approach Toward Airspace Design for Regional Air Mobility Operations in Korea
Federated Learning for Spanish Ports as an Aid to Digitization
Surface EMG for Force Control of Mechanical Hands
Machine Learning Based Approach to a Crane Load Estimation
Combining learning and structure for robotic manipulation
Optimization of Pin Fins Using Computational Fluid Dynamics and Machine Learning
Tensor Voting : A Perceptual Organization Approach to Computer Vision and Machine Learning
Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networks
Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties
Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties
Optimizing inventory control through a data-driven and model-independent framework
Applicability of machine learning in uncertainty quantification of turbulence models
Applicability of machine learning in uncertainty quantification of turbulence models
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Condition Monitoring of Rail Vehicle Suspension Elements: A Machine Learning Approach
Lateral Control Design for Autonomous Vehicles Using a Big Data-Based Approach
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Condition Monitoring von Stromrichtern mit Methoden des maschinellen Lernens
Railway Bogie Diagnostics Using Machine Learning and Bayesian Net Reasoning Approaches