This paper investigates unsupervised learning of low-dimensional representations from
FMCW radar data, which can be used for multiple downstream tasks in a drone navigation …

The human brain is a powerful image and pattern recognition processor, and its basic
processing element is neurons. Synapses are weighted interconnections between neurons …

The main objective of this study is to demonstrate the integration of weather forecasts which
can lead to a significant reduction in energy costs and carbon emissions while ensuring the …

As more and more applications rely on Artificial Intelligence (AI), it is inevitable to explore the
associated safety and security risks, especially for sensitive applications where physical …

In this study, an artificial neural network (ANN) based approach is studied about the
prediction of solar energy generation in a microgrid using weather forecasting. The ANN is …

This dissertation examines radar-and Deep Learning (DL)-based motion classification
systems for indoor applications. Motion classification in general can be used for various …