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Maschinelles Lernen
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Machine learning approaches for detection of robot errors in human brain signals
Combining learning and structure for robotic manipulation
A framework for current signal based bearing fault detection of permanent magnet synchronous motors
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Versuchsplanung mittels hybrider Modelle zur Bestimmung von Flugbereichsgrenzen
Traffic Flow Prediction Based on Cooperative Vehicle Infrastructure for Cloud Control Platform
Beyond the tracked line of sight: gaze-driven user models
Big data machine learning for flight planning
Big data machine learning for flight planning
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
Behavior-specific proprioception models for robotic force estimation: a machine learning approach
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
2021 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW) : 21-23 June 2021