Suchergebnisse - Sparse Convolutional Denoising Autoencoder (SCDA)

TumorAwareNet: Deep representation learning with attention based sparse convolutional denoising autoencoder for brain tumor recognition von Bodapati, Jyostna Devi, Balaji, Bharadwaj Bagepalli

“… ) images suitable for effective tumor recognition. The proposed model employs a Sparse Convolutional Denoising Autoencoder (SCDA …”
Volltext

Sparse Convolutional Denoising Autoencoders for Genotype Imputation von Chen, Junjie, Shi, Xinghua

“… To explore the performance of deep learning for genotype imputation, in this study, we propose a deep model called a sparse convolutional denoising autoencoder (SCDA …”
Volltext

An autoencoder-based deep learning method for genotype imputation von Song, Meng, Greenbaum, Jonathan, Luttrell, Joseph, Zhou, Weihua, Wu, Chong, Luo, Zhe, Qiu, Chuan, Zhao, Lan Juan, Su, Kuan-Jui, Tian, Qing, Shen, Hui, Hong, Huixiao, Gong, Ping, Shi, Xinghua, Deng, Hong-Wen, Zhang, Chaoyang

“… In recent years, deep learning (DL) based methods, such as sparse convolutional denoising autoencoder (SCDA …”
Volltext

Deep learning for prognostics and health management: State of the art, challenges, and opportunities von Rezaeianjouybari, Behnoush, Shang, Yi

“… •The state-of-the-art deep models in PHM applications have been overviewed.•The models are classified into generative, discriminative and hybrid …”
Volltext