Abstract:
We investigated data augmentation to train neural networks (NNs) for soft-failure cause identification, demonstrating its impacts on NN complexity. Results indicate up to...Show MoreMetadata
Abstract:
We investigated data augmentation to train neural networks (NNs) for soft-failure cause identification, demonstrating its impacts on NN complexity. Results indicate up to 68% reduction in the computational complexity of NN for each inference.
Date of Conference: 05-09 March 2023
Date Added to IEEE Xplore: 19 May 2023
Print on Demand(PoD) ISBN:979-8-3503-1229-4