2 papers
cs.DC2023
Comparison of Autoscaling Frameworks for Containerised Machine-Learning-Applications in a Local and Cloud Environment
Christian Schroeder, Rene Boehm, Alexander Lampe
When deploying machine learning (ML) applications, the automated allocation of computing resources-commonly referred to as autoscaling-is crucial for maintaining a consistent infer…
cs.CV2019
A feasibility study of deep neural networks for the recognition of banknotes regarding central bank requirements
Julia Schulte, Daniel Staps, Alexander Lampe
This paper contains a feasibility study of deep neural networks for the classification of Euro banknotes with respect to requirements of central banks on the ATM and high speed sor…