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A reliability analysis of a deep neural network
Deep Learning, and in particular its implementation using Convolutional Neural Networks
(CNNs), is currently one of the most intensively and widely used predictive models for safety …
(CNNs), is currently one of the most intensively and widely used predictive models for safety …
Evaluating convolutional neural networks reliability depending on their data representation
Safety-critical applications are frequently based on deep learning algorithms. In particular,
Convolutional Neural Networks (CNNs) are commonly deployed in autonomous driving …
Convolutional Neural Networks (CNNs) are commonly deployed in autonomous driving …
[HTML][HTML] A novel iso 26262-compliant test bench to assess the diagnostic coverage of software hardening techniques against digital components random hardware …
This paper describes a novel approach to assess detection mechanisms and their
diagnostic coverage, implemented using embedded software, designed to identify random …
diagnostic coverage, implemented using embedded software, designed to identify random …
Testing permanent faults in pipeline registers of GPGPUs: A multi-kernel approach
In the last decade, General Purpose Graphics Processing Units (GPGPUs) have been
widely employed in high demanding data processing applications including multimedia and …
widely employed in high demanding data processing applications including multimedia and …
An analysis of test solutions for COTS-based systems in space applications
One of the current trends in space electronics is towards considering the adoption of COTS
components, mainly to widen the spectrum of available products. When substituting space …
components, mainly to widen the spectrum of available products. When substituting space …
Fault grading techniques of software test libraries for safety-critical applications
The adoption of complex and technologically advanced integrated circuits (ICs) in safety-
critical applications (eg, in automotive) forced the introduction of new solutions to guarantee …
critical applications (eg, in automotive) forced the introduction of new solutions to guarantee …
[HTML][HTML] Automated identification of application-dependent safe faults in automotive systems-on-a-chips
ISO 26262 requires classifying random hardware faults based on their effects (safe,
detected, or undetected) within integrated circuits used in automobiles. In general, this …
detected, or undetected) within integrated circuits used in automobiles. In general, this …
Application specific true critical paths identification in sequential circuits
The extreme complexity of digital systems enabled by nanometer-scale implementation
technologies comes along with strengthened design requirements that are difficult to …
technologies comes along with strengthened design requirements that are difficult to …
Untestable faults identification in GPGPUs for safety-critical applications
Nowadays, General Purpose Graphics Processing Units (GPGPUs) devices are considered
as promising solutions for high-performance safety-critical applications, such as those in the …
as promising solutions for high-performance safety-critical applications, such as those in the …
New categories of Safe Faults in a processor-based Embedded System
The identification of safe faults (ie, faults which are guaranteed not to produce any failure) in
an electronic system is a crucial step when analyzing its dependability and its test plan …
an electronic system is a crucial step when analyzing its dependability and its test plan …