Funder
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Reference90 articles.
1. Aggarwal, C. C., et al. (2018). Neural Networks and Deep Learning. Berlin: Springer.
2. Ali, M.A., Bingamil, A.A., Jarndal, A., Alsyouf, I. (2019). The influence of handling imbalance classes on the classification of mechanical faults using neural networks. In 2019 8th International Conference on Modeling Simulation and Applied Optimization (ICMSAO), Manama, Bahrain, pp 1–5. https://doi.org/10.1109/ICMSAO.2019.8880437.
3. Aouedi, O., Piamrat, K., Bagadthey, D. (2020). A semi-supervised stacked autoencoder approach for network traffic classification. In 2020 IEEE 28th International Conference on Network Protocols (ICNP), Madrid, Spain, pp 1–6, https://doi.org/10.1109/ICNP49622.2020.9259390.
4. Arslan, M., Guzel, M., Demirci, M., Ozdemir, S. (2019). SMOTE and gaussian noise based sensor data augmentation. In 2019 4th International Conference on Computer Science and Engineering (UBMK), Samsun, Turkey, pp 1–5. https://doi.org/10.1109/UBMK.2019.8907003.
5. Asadi, R., Mustapha, N., Sulaiman, N., & Shiri, N. (2009). New supervised multi layer feed forward neural network model to accelerate classification with high accuracy. European Journal of Scientific Research, 33(1), 163–178.
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