Deep neural network (DNN) models are being deployed in safety-critical embedded devices
for object identification, recognition, and even trajectory prediction. Optimized versions of …

This article investigates 14-MeV neutron radiation soft-error effects on two contrasting
hardware architectures for edge computing systems, one based on an 8-bit processor and …

Software engineers use different compilers and code optimisation levels (eg, O2 and Os) to
achieve the best results considering distinguish constraints (eg, power, performance and …

Split Computing (SC) is an attractive solution toward achieving an optimal balance between
onboard capabilities, resource usage, and performance in Deep Neural Networks (DNNs) in …

The presence of Unmanned Surface Vehicles (USVs) is increasingly frequent on lakes and
water reservoirs, performing tasks such as monitoring water quality or delivering goods …

Recent advances in Internet-of-things (IoT) and 5G infrastructures promote new
computational paradigms such as Split Computing (SC) for deploying Deep Neural …

There is a growing incorporation of unmanned aerial vehicles (UAVs) within remote and
urban environments due to their versatility and ability to access hard-to-reach and/or …

The growing complexity of SoCs requires more accurate and faster test and verification in
the early stages of the design. Fault injection plays an important role in ensuring safety …

Soft errors caused by external radiation sources have historically affected the reliability of
electronic devices. The radiation effects community has dedicated significant effort to …

This paper evaluates radiation-induced software failure detection in embedded processors
from the Cortex-M family. Our proposed methodology performs heavy ion irradiation …