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
Machine Learning im Cost Engineering des Supply Managements
Machine Learning im Cost Engineering des Supply Managements
Data mining for quality control: Burr detection in the drilling process
Störungsfrüherkennung an Kreiselpumpen mit Verfahren des maschinellen Lernens
Hierarchical fault diagnosis and health monitoring in multi-platform space systems
UUV teams, control from a biological perspective
Evolutionary Computation Methods for Helicopter Loads Estimation
A fuzzy system for automotive fault diagnosis: fast rule generation and self-tuning
Obstacle avoidance learning for a wheeled lunar rover based on its local relative pose
Robust servo-control for underwater robots using banks of visual filters
Automotive data analytics, methods, DoE : proceedings of the International Calibration Conference
Clustering sensor data for autonomous terrain identification using time-dependency