Suchergebnisse - multi-scale convolutional (recurrent OR current) variational autoencoder

Anomaly detection for multivariate times series through the multi-scale convolutional recurrent variational autoencoder von Xie, Tianming, Xu, Qifa, Jiang, Cuixia

“… To realize the anomaly detection for industrial multi-sensor data, we develop a novel multi-scale convolutional recurrent variational autoencoder (MSCRVAE) model …”
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Convolutional variational autoencoder and multi-scale attention convolutional neural network based diagnostics on filament current sensors for mass spectrometers von Li, Xinshuo, Zhou, Wenxing, Yin, Jiancheng, Zhang, Zhen, Huang, Gang, Sheng, Yunlong, Li, Pinghua, Zhuang, Xuye

“… of the filament current sensor when the fault samples are insufficient. The improved convolutional variational autoencoder (CVAE …”
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MSARAE: Multiscale adversarial regularized autoencoders for cortical network classification von Zhu, Yihui, Zhou, Yue, Zhang, Xiaotong, Li, Yueying, Yuan, Yonggui, Kong, Youyong

“… •An adversarial regularization module is introduced to improve the accuracy of multi-scale graph variational autoencoder generation …”
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Artificial Intelligence for Speech Classification and Enhancement of Speech and Language Disorders: Techniques, Applications, and Future Directions von Remya, M S, Raman, Raghu, Sankaran, Ravi, Namboodiri, Vinod, Nedungadi, Prema

“… Artificial intelligence (AI) has advanced the classification and management of speech and language disorders, which are conditions characterized by the …”
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DCMF-PPI: a protein-protein interaction predictor based on dynamic condition and multi-feature fusion von Chen, Siqi, Zheng, Anhong, Yu, Weichi, Zhan, Chao

“… Current research in predicting PPI has shown remarkable progress by integrating protein information with PPI topology structure …”
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A novel fault diagnosis framework based on adaptive VAEGAN and optimal data selection for imbalanced data von Hou, Yandong, Cai, Xiaoao, Chen, Zhengquan, Huang, Huige, Zhai, Xiaodong

“… ). Firstly, an adaptive training module is designed. By setting a conversion threshold to control the difference of loss values between the variational autoencoder …”
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Deep Learning for Surgical Video Analysis: From Recognition to Prediction von Gao, Xiaojie

“… With rapid developments of artificial intelligence in the medical field, the demand for intelligent surgery has also increased accordingly. Accurate analysis …”
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