
Abstract: As of today, designing Current References (CRs) with enhanced PVT-robustness is still hardly straightforward, especially under area occupation constraints. In this work, we present a novel beta-multiplier CR, performing first-order...
Abstract: In single-chip electrical impedance spectroscopy systems, generation of sinusoidal waveforms with frequencies variable over several decades is often the most challenging task. In this work, we propose an original approach to sinusoidal...
Abstract: Commercial low-cost ECG electrodes and custom integrated electronic circuits can be combined to build a compact system capable of performing both the EGC and bioimpedance measurements. This paper presents a compact solution for ECG and...
As of today, designing Current References (CRs) with enhanced PVT-robustness is still hardly straightforward, especially under area occupation constraints. In this work, we present a novel beta-multiplier CR, performing first-order temperature...
Abstract: Neurostimulation applications require increasing versatility to tailor the treatment to the patient needs, thus improving its efficacy. In this work, we propose a fully-programmable integrated neurostimulation system capable of performing...
In single-chip electrical impedance spectroscopy systems, generation of sinusoidal waveforms with frequencies variable over several decades is often the most challenging task. In this work, we propose an original approach to sinusoidal waveform...
Abstract: Neurostimulation applications require increasing versatility to tailor the treatment to the patient needs, thus improving its efficacy. In this work, we propose a fully-programmable integrated neurostimulation system capable of performing...
(pre-print on TechRxiv, will be published soon) The rapid development of Artificial Intelligence (AI) algorithms has created a need for a resource-optimised hardware accelerator. Among various platforms, Coarse-Grained Reconfigurable Array (CGRA) have...
The rise of Software-Defined Wide Area Network (SD-WAN) a decade ago has ushered in a new era of networking opportunities for organizations worldwide. As enterprises undergo digital transformation fueled by cloud computing adoption and the imperative...
The decline in global bee populations significantly threatens biodiversity and food production. Monitoring beehives are crucial for understanding colony health and behavior. In this paper, we propose an analysis of different beekeeping approaches by...
Due to limited infrastructure and remote locations, rural areas often need help providing reliable and high-quality network connectivity. We propose an innovative approach that leverages Software-Defined Wide Area Network (SD-WAN) architecture to...
Networked Music Performance (NMP) has increased its spread in the musician community because of its capability to connect players who are not physically together. However, NMP relies on stringent requirements, such as low latency, which can be...
The continuous growth of advanced services integrating processing, storage, real-time data exchange, and transmission capacities highlights the importance of Quality of Service (QoS) and Quality of Experience (QoE). In particular, it is very relevant...
In the coming years, space missions will increasingly require communication systems capable of ensuring high-performance, safe, and reliable data transmission between ground stations and spacecraft. Since, in this future scenario, classical...
The interactions between humans and wildlife are crucial and necessitate innovative solutions to mitigate potential conflicts. The regions involved often suffer from inconsistent and limited network coverage, which is essential for real-time...
Wildlife monitoring in remote field environments presents significant challenges owing to energy constraints, limited network connectivity, and the need for real-time processing. This study proposes a scalable framework that integrates artificial...
title: Towards a made-in-Europe ecosystem for multisport training, healthy lifestyle and remote patient monitoring based on cloud-edge continuum of AI-featured body sensors Abstract: In the contemporary landscape of healthcare and fitness, the...
The exponential growth of artificial intelligence in recent years has created new opportunities across various industries, including the space sector. The increasing significance of CNNs has played a pivotal role in shaping modern AI advancements. As...
The adoption of Machine Learning solutions directly onboard in satellite missions is becoming more and more attractive for the space sector. Among the various kinds of hardware accelerators, ranging from highly efficient yet inflexible COTS to more...
Artificial Intelligence has gained widespread adoption across different industrial sectors, serving as a versatile tool to carry out a diverse array of tasks, ranging from image classification and traffic forecasting to natural language processing and...