Improved Prediction of Aquatic Beetle Diversity in a Stagnant Pool by a One-Dimensional Convolutional Neural Network Using Variational Autoencoder Generative Adversarial Network-Generated Data
Abstract
Share and Cite
Hu, M.; Jiang, S.; Jia, F.; Yang, X.; Li, Z. Improved Prediction of Aquatic Beetle Diversity in a Stagnant Pool by a One-Dimensional Convolutional Neural Network Using Variational Autoencoder Generative Adversarial Network-Generated Data. Appl. Sci. 2023, 13, 8841. https://doi.org/10.3390/app13158841
Hu M, Jiang S, Jia F, Yang X, Li Z. Improved Prediction of Aquatic Beetle Diversity in a Stagnant Pool by a One-Dimensional Convolutional Neural Network Using Variational Autoencoder Generative Adversarial Network-Generated Data. Applied Sciences. 2023; 13(15):8841. https://doi.org/10.3390/app13158841
Chicago/Turabian StyleHu, Miao, Shujiao Jiang, Fenglong Jia, Xiaomei Yang, and Zhiqiang Li. 2023. "Improved Prediction of Aquatic Beetle Diversity in a Stagnant Pool by a One-Dimensional Convolutional Neural Network Using Variational Autoencoder Generative Adversarial Network-Generated Data" Applied Sciences 13, no. 15: 8841. https://doi.org/10.3390/app13158841
APA StyleHu, M., Jiang, S., Jia, F., Yang, X., & Li, Z. (2023). Improved Prediction of Aquatic Beetle Diversity in a Stagnant Pool by a One-Dimensional Convolutional Neural Network Using Variational Autoencoder Generative Adversarial Network-Generated Data. Applied Sciences, 13(15), 8841. https://doi.org/10.3390/app13158841