Object-oriented modeling is concerned with capturing common properties of objects. The dominant thinking in this realm is to classify objects that share certain properties into what is called a class, which in turn enables us to instantiate additional obje ...
Recent state-of-the-art methods for skin lesion segmentation are based on convolutional neural networks (CNNs). Even though these CNN-based segmentation approaches are accurate, they are computationally expensive. In this paper, we address this problem and ...
In high energy physics, silicon particles detectors are widely used in tracking applications. They feature high-resolution measurements of the traversing particle positioning and frequently its energy. With the new possibilities introduced by technology sc ...
The rapid expansion of online-based services requires novel energy and performance efficient architectures to meet power and latency constraints. Fast architectural exploration has become a key enabler in the proposal of architectural innovation. In this p ...
In Switzerland, Germany and Austria, as in many European countries, the transition of the energy sector towards more sustainability is a long-term transition process, unfolding since decades. It however only reached the regime level in recent years and the ...
The contemporary energy context can be considered as a period of energy transition, where the latest protocols focus on limiting greenhouse gas (GHG) emissions and improving energy efficiency across the different energy consumption sectors. As the largest ...
Single-photon avalanche diodes (SPADs) fabricated in standard CMOS processes enable cost-effective volume production of sensors capable of time-stamping individual photons with high accuracy. This capability makes the sensors ideally suited for application ...
