Abstract Internet of Things (IoT) is an intelligent technology that interconnection of everything
at any time over an edge computing network. Because of pervasiveness and ubiquity, IoT …

Node lifetime predictions are a crucial design time tool when developing Internet of Things
(IoT) solutions with constrained energy budgets. However, this analysis is typically based on …

Complexity reduction is one of the main issues of digital signal processing (DSP) algorithms,
especially in communication systems where each new generation brings new requirements …

Multi-sensor embedded systems often consist of a central unit being responsible to manage
a heterogeneous set of attached sensors. Particularly when such systems are deployed in …

Several state of the art estimation and optimization techniques for CNNs and LLMs on
embedded devices are summarized. For LLMs an Activation-aware Weight Quantization and …

For fixed-application scenarios in embedded soft-realtime computing, the ideal (wrt energy
consumption) heterogeneous multi-core CPU design within given chip dimensions can be …

Computer vision systems in sensor nodes of the Internet of Things (IoT) based on Deep
Learning (DL) are demanding because the DL models are memory and computation hungry …

Image processing systems exploit image information for a purpose determined by the
application at hand. The implementation of image processing systems in an Internet of …

The technological shift towards the Internet of Everything has resulted in an ever-increasing
interest in smart sensor nodes. The required deployment of these nodes in a variety of …