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Found 9 papers, 1 papers with code
Proceedings of the 3rd International Workshop on Autonomous Systems Safety
The workshop gathers experts from academia, regulatory agencies, and industry to discuss challenges and potential solutions for SRS of autonomous systems from different perspectives.
SeKron: A Decomposition Method Supporting Many Factorization Structures
We validate SeKron for model compression on both high-level and low-level computer vision tasks and find that it outperforms state-of-the-art decomposition methods.
A generic physics-informed neural network-based framework for reliability assessment of multi-state systems
The gradient projection operation significantly mitigates the detrimental effects caused by the gradient interference when training PINN, thus accelerating the convergence speed of PINN to high-precision solutions to MSS reliability assessment.
An Uncertainty-Informed Framework for Trustworthy Fault Diagnosis in Safety-Critical Applications
There has been a growing interest in deep learning-based prognostic and health management (PHM) for building end-to-end maintenance decision support systems, especially due to the rapid development of autonomous systems.
Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition
Modern Convolutional Neural Network (CNN) architectures, despite their superiority in solving various problems, are generally too large to be deployed on resource constrained edge devices.
Human Reliability Analysis for Oil and Gas Operations: Analysis of Existing Methods
It remarks that these discussions must be seriously considered in defining a technical roadmap to a credible HRA method for the Oil and Gas industry.
Physics-Informed Deep Learning: A Promising Technique for System Reliability Assessment
Considerable research has been devoted to deep learning-based predictive models for system prognostics and health management in the reliability and safety community.
Hardware-in-the-Loop End-to-End Optimization of Camera Image Processing Pipelines
These low-level pipelines consist of a sequence of processing blocks that, depending on their hyperparameters, reconstruct a color image from RAW sensor measurements.
Camera Intrinsic Blur Kernel Estimation: A Reliable Framework
This paper presents a reliable non-blind method to measure intrinsic lens blur.
