A new symptom-based fault detection algorithm is shown to detect >99% of critical faults with zero false positives and a compute overhead of 0.2%. Further, ...
A new symptom-based fault detection algorithm is shown to detect >99% of critical faults with zero false positives and a compute overhead of 0.2%. Further, ...
To the authors' knowledge this is the first fault tolerance study of a DNN semantic segmentation application and a new symptom-based fault detection ...
We present an analysis of the effect of faults using Google's DeepLabV3+ network processing an industrial data-set. A new symptom-based fault detection.
Jan 28, 2023 · A new symptom-based fault detection algorithm is shown to detect >99% of critical faults with zero false positives and a compute overhead of 0.2 ...
In this paper, we first present a detailed analysis of the effects of faults using Google's DeepLabV3+ network processing an industrial data-set.
Aug 30, 2024 · Improving dnn fault tolerance in semantic segmentation applications. ... neural networks and improving their fault tolerance using clipped ...
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Jul 20, 2024 · This paper delves into the robustness assessment in embedded Deep Neural Networks (DNNs), particularly focusing on the impact of parameter perturbations ...
In this paper we approach to construct reliable Deep Neural Networks (DNNs) for safety-critical artificial intelligent applications.
In this article, we approach to construct reliable deep neural networks (DNNs) for safety-critical artificial intelligent applications.
Missing: Semantic Segmentation