Embedded systems technology is undergoing a phase of transformation owing to the novel
advancements in computer architecture and the breakthroughs in machine learning …

Radar sensors are crucial for environment perception of driver assistance systems as well
as autonomous vehicles. With a rising number of radar sensors and the so far unregulated …

Despite the recent upsurge of interest in the investigation of creativity, the question of how to
measure creativity is arguably underdiscussed. The aim of this paper is to address this gap …

Reduced order modeling is an important and fast-growing research field in computational
science and engineering, motivated by several reasons, of which we mention just a few …

Random convolution kernel transform (Rocket) is a fast, efficient, and novel approach for
time series feature extraction using a large number of independent randomly initialized 1-D …

The focus of this work is on the application of classical Model Order Reduction techniques,
such as Active Subspaces and Proper Orthogonal Decomposition, to Deep Neural …

The application of Artificial Intelligence to the industrial world and its appliances has recently
grown in popularity. Indeed, AI techniques are now becoming the de-facto technology for the …

Effective monitoring of bat populations will contribute towards the United Nations' SGD 15
which is tied to maintaining biodiversity and SGD 3 which is about maintaining good health …

Object detection techniques that achieve state-of-the-art detection accuracy employ
convolutional neural networks, implemented to have lower latency in graphics processing …

Convolution neural networks (CNNs) have shown great success in various applications.
However, the computational complexity and memory storage of CNNs is a bottleneck for …