101 citations · 124 across the 4 of their papers we have counts for
4 papers
VEDLIoT -- Next generation accelerated AIoT systems and applications
Kevin Mika, René Griessl, Nils Kucza +29
The VEDLIoT project aims to develop energy-efficient Deep Learning methodologies for distributed Artificial Intelligence of Things (AIoT) applications. During our project, we propo…
VEDLIoT: Very Efficient Deep Learning in IoT
Martin Kaiser, Rene Griessl, Nils Kucza +33
The VEDLIoT project targets the development of energy-efficient Deep Learning for distributed AIoT applications. A holistic approach is used to optimize algorithms while also deali…
Machine Learning for the Control and Monitoring of Electric Machine Drives: Advances and Trends
Shen Zhang, Oliver Wallscheid, Mario Porrmann
This review paper systematically summarizes the existing literature on utilizing machine learning (ML) techniques for the control and monitoring of electric machine drives. It is a…
Development of Energy Models for Design Space Exploration of Embedded Many-Core Systems
Christian Klarhorst, Martin Flasskamp, Johannes Ax +4
This paper introduces a methodology to develop energy models for the design space exploration of embedded many-core systems. The design process of such systems can benefit from sop…