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10/12/2022
SeKron: A Decomposition Method Supporting Many Factorization Structures
While convolutional neural networks (CNNs) have become the de facto stan...
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12/01/2021
A generic physics-informed neural network-based framework for reliability assessment of multi-state systems
In this paper, we leverage the recent advances in physics-informed neura...
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09/30/2021
Simulation Based Probabilistic Risk Assessment (SIMPRA): Risk Based Design
The classical approach to design a system is based on a deterministic pe...
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09/29/2021
Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition
Modern Convolutional Neural Network (CNN) architectures, despite their s...
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09/23/2021
Degradation and Failure Mechanisms of Complex Systems: Principles
A cyber physical human complex system failure prevents the accomplishmen...
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08/24/2021
