Multi-Objective Neuroevolution-Based Xception for Fault Detection in Edge System
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8438-1_35
Reference15 articles.
1. Manjit K, Dilbag S (2021) Multi-modality Medical Image fusion Technique using Multi-objective differential evolution based deep neural network. J Ambient Intell Human Comput 12:2483–2493
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3. Yu X, Pengcheng J, Ferrante N, Jiayu L (2021) A multi-objective evolutionary approach based on graph-in-graph for neural architecture search of convolutional neural network. Int J Neural Syst 31(09):2150035
4. Lakhan A, Mohammed MA, Elhoseny M, Alshehri MD, Abdulkareem KH (2022) Blockchain multi-objective optimization approach-enabled secure and cost-efficient scheduling for the Internet of Medical Things (IoMT) in fog-cloud system. Soft Comput 26(13):6429–6442
5. Adel M (2022) An embdedded solution for fault detection and diagnosis of Photovoltaic modules using thermographic images and deep convolutional neural networks. Eng Appl Artif Intell 116:105459
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