Výsledky vyhledávání - "Variational autoencoder network"

Recognition of geochemical anomalies using a deep variational autoencoder network Autor Luo, Zijing, Xiong, Yihui, Zuo, Renguang

“…Deep learning (DL) algorithms have received increased attention in various fields. In the field of geoscience, DL has been shown to be a powerful tool for…”
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Recognition of multivariate geochemical anomalies using a geologically-constrained variational autoencoder network with spectrum separable module – A case study in Shangluo District, China Autor Zhao, Bo, Zhang, Dehui, Tang, Panpan, Luo, Xiaoyan, Wan, Haoming, An, Lin

“…This study has developed a novel variational autoencoder architecture by incorporating the spectrum separable module, termed SSM-VAE, so as to recognize the…”
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Robust AUV Visual Loop-Closure Detection Based on Variational Autoencoder Network Autor Wang, Yangyang, Ma, Xiaorui, Wang, Jie, Hou, Shilong, Dai, Ju, Gu, Dongbing, Wang, Hongyu

“… Inspired by strong feature learning ability of deep neural networks, we propose an underwater loop-closure detection method based on a variational autoencoder network in this article…”
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Tandem Generalized Variational Autoencoder Network for Multi-Solutions Inverse Design Autor Yuan, Tianguo, Li, Yang, Yang, Xiaolin

“…Inspired by the variational autoencoder (VAE), we propose a novel multi-solutions strategy combined with a tandem neural network for inverse design and…”
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TransVAE-DTA: Transformer and variational autoencoder network for drug-target binding affinity prediction Autor Zhou, Changjian, Li, Zhongzheng, Song, Jia, Xiang, Wensheng

“…•A TransVAE-DTA model is proposed for drug-target binding affinity prediction.•The TransVAE-DTA integrates drug and protein encoding simultaneously.•An…”
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Intelligent vehicle driving decision-making model based on variational AutoEncoder network and deep reinforcement learning Autor Wang, Shufeng, Wang, Zhengli, Wang, Xinkai, Liang, Qingwei, Meng, Lingyi

“…In this paper, an end-to-end driving decision-making model is proposed for intelligent vehicle, utilizing a Variational AutoEncoder (VAE) network and Deep…”
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Graph embedding and Gaussian mixture variational autoencoder network for end-to-end analysis of single-cell RNA sequencing data Autor Xu, Junlin, Xu, Jielin, Meng, Yajie, Lu, Changcheng, Cai, Lijun, Zeng, Xiangxiang, Nussinov, Ruth, Cheng, Feixiong

“…Single-cell RNA sequencing (scRNA-seq) is a revolutionary technology to determine the precise gene expression of individual cells and identify cell…”
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Image forgery detection by combining Visual Transformer with Variational Autoencoder Network Autor Atak, Ilker Galip, Yasar, Ali

“… For this reason, the reliability of image or video data is highly questionable. To solve this challenging problem, we introduce a Visual Transformer based Visual Transformer with Variational Autoencoder Network (ViT-VAE Net) model…”
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Deep causality variational autoencoder network for identifying the potential biomarkers of brain disorders Autor Alfakih, Amani, Xia, Zhengwang, Ali, Bahzar, Mamoon, Saqib, Lu, Jianfeng

“…Identifying causality from observational time-series data is a key problem in dealing with complex dynamic systems. Inferring the direction of connection…”
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Flight maneuver intelligent recognition based on deep variational autoencoder network Autor Tian, Wei, Zhang, Hong, Li, Hui, Xiong, Yuan

“…The selection and training of aircraft pilots has high standards, long training cycles, high resource consumption, high risk, and high elimination rate. It is…”
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DCAVN: Cervical cancer prediction and classification using deep convolutional and variational autoencoder network Autor Khamparia, Aditya, Gupta, Deepak, Rodrigues, Joel J. P. C., de Albuquerque, Victor Hugo C.

“…Early detection, early diagnosis and classification of the cancer type facilitates faster disease management of patients. Cervical cancer is fourth most…”
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EUP: Enhanced cross-species prediction of ubiquitination sites via a conditional variational autoencoder network based on ESM2 Autor Liu, Junhao, Luo, Zeyu, Wang, Rui, Li, Xin, Sun, Yawen, Chen, Zongqing, Zhang, Yu-Juan

“…Ubiquitination is critical in biomedical research. Predicting ubiquitination sites based on deep learning model have advanced the study of ubiquitination…”
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EUP: Enhanced cross-species prediction of ubiquitination sites via a conditional variational autoencoder network based on ESM2 Autor Junhao Liu, Zeyu Luo, Rui Wang, Xin Li, Yawen Sun, Zongqing Chen, Yu-Juan Zhang

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Application of Variational Autoencoder Network to Real-Time Prediction of Steel Crown in the Hot Strip Rolling Mill Process Autor Zhang, Kai, Liu, Yundan, Wang, Yali, Zhang, Xiaowen

“…In the hot strip rolling mill (HSRM) process, accurate prediction and control of the strip crown are critical for quality assurance. In order to cope with this…”
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Electricity Behavior Modeling and Anomaly Detection Services Based on a Deep Variational Autoencoder Network Autor Lin, Rongheng, Chen, Shuo, He, Zheyu, Wu, Budan, Zou, Hua, Zhao, Xin, Li, Qiushuang

“… This paper proposes a deep variational autoencoder network (DVAE) for load profiles, along with anomaly analysis services, and introduces auto-time series data updating strategies based on sliding window adjustment…”
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Multi-mode non-Gaussian variational autoencoder network with missing sources for anomaly detection of complex electromechanical equipment Autor Luo, Qinyuan, Chen, Jinglong, Zi, Yanyang, Chang, Yuanhong, Feng, Yong

“…Anomaly detection is crucial to the safety of complex electromechanical equipment. With the rapid accumulation of industrial data, intelligent methods without…”
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Residual life prediction of multi-layer composite coatings based on vector quantised and attention-variational AutoEncoder network Autor Li, Min, Pan, Fushuai, Li, Xue, Li, Hangkai, Liu, Yanbo

“…The quality of multi-layer composite coatings (MLCC) directly affects the reliability of equipment. Ultrasonic C-scan has advantages of non-destructive and…”
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Brain fingerprinting and cognitive behavior predicting using functional connectome of high inter-subject variability Autor Lu, Jiayu, Yan, Tianyi, Yang, Lan, Zhang, Xi, Li, Jiaxin, Li, Dandan, Xiang, Jie, Wang, Bin

“…•High inter-subject variability for brain fingerprinting and cognitive behavior predicting.•Conditional deep generative network for extracting shared…”
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Adaptive Gaussian Mixture Model-based Variational Autoencoder Network for Process Fault Isolation in Industrial Processes Autor Li, S. J., Chen, X. F., Li, H., Ma, M. Y., Liu, P. L., Yu, J. B.

“… To cope with the nonlinear and multimodal characteristics of process data, an adaptive Gaussian Mixture Model-based variational autoencoder network is proposed for process fault isolation in industrial processes…”
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Sentiment-oriented Transformer-based Variational Autoencoder Network for Live Video Commenting Autor Fu, Fengyi, Fang, Shancheng, Chen, Weidong, Mao, Zhendong

“…Automatic live video commenting is with increasing attention due to its significance in narration generation, topic explanation, etc. However, the diverse…”
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