Radiation-induced soft errors are one of the most challenging issues in Safety Critical Real-
Time Embedded System (SACRES) reliability, usually handled using different flavors of …

Reproducibility is widely acknowledged as a fundamental principle in scientific research.
Currently, the scientific community grapples with numerous challenges associated with …

Due to the centralization of communication in the management of data generated by diverse
Internet of Thing (IoT) devices, there is a lack of reliability when data is being transferred and …

One of the most difficult data flow errors to detect caused by single-event upsets in space
radiation is the Silent Data Corruption (SDC). To solve the problem of multi-bit upsets …

Every computation presents a small chance that an unexpected phenomenon ruins or
modifies its output. Computers are prone to errors that, although may be very unlikely, are …

Data reduction techniques have been widely demanded and used by large-scale high
performance computing (HPC) applications because of vast volumes of data to be produced …

As the size and complexity of high-performance computing (HPC) systems keep growing,
scientists' ability to trust the data produced is paramount due to potential data corruption for …

The profound impact of recent developments in artificial intelligence is unquestionable. The
applications of deep learning models are everywhere, from advanced natural language …

The latest advances in artificial intelligence deep learning models are unprecedented. A
wide spectrum of application areas is now thriving thanks to available massive training …

Silent data corruptions (SDCs) have been always regarded as the serious effect of radiation-
induced faults. Traditional solutions based on redundancies are very expensive in terms of …