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Inicio  /  Applied Sciences  /  Vol: 12 Par: 20 (2022)  /  Artículo
ARTÍCULO
TITULO

Concept and Architecture for Applying Continuous Machine Learning in Multi-Access Routing at Underground Mining Vehicles

Pekka Pääkkönen    
Jere Backman    
Daniel Pakkala    
Jori Paananen    
Kari Seppänen and Kimmo Ahola    

Resumen

System and method for continuously improving or adapting multi-access router path selection of autonomous moving vehicles in changing environments.

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