Suchergebnisse - Variational autoencoder network

Recognition of multivariate geochemical anomalies using a geologically-constrained variational autoencoder network with spectrum separable module – A case study in Shangluo District, China von 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 multi-mineral-species geochemical patterns …”
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Anomaly Detection Based on Graph Convolutional Network–Variational Autoencoder Model Using Time-Series Vibration and Current Data von Choi, Seung-Hwan, An, Dawn, Lee, Inho, Lee, Suwoong

“… This paper proposes a deep learning-based anomaly detection method using time-series vibration and current data, which were obtained from endurance tests on …”
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Recognition of geochemical anomalies using a deep variational autoencoder network von Luo, Zijing, Xiong, Yihui, Zuo, Renguang

“… In this study, a deep variational autoencoder (VAE) network was used to extract features related to mineralization …”
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EvaGoNet: An integrated network of variational autoencoder and Wasserstein generative adversarial network with gradient penalty for binary classification tasks von Luo, Changfan, Xu, Yiping, Shao, Yongkang, Wang, Zihan, Hu, Jianzheng, Yuan, Jiawei, Liu, Yuchen, Duan, Meiyu, Huang, Lan, Zhou, Fengfeng

“… This study proposes EvaGoNet, which refines the decoder module of the Gaussian mixture variational autoencoder using the Wasserstein generative adversarial network with gradient penalty (WGANgp …”
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Tandem Generalized Variational Autoencoder Network for Multi-Solutions Inverse Design von 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 optimization problems …”
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EXTENDING THE LEE–CARTER MODEL WITH VARIATIONAL AUTOENCODER: A FUSION OF NEURAL NETWORK AND BAYESIAN APPROACH von Miyata, Akihiro, Matsuyama, Naoki

“… autoencoder that performs the variational Bayesian estimation of a state …”
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Robust AUV Visual Loop-Closure Detection Based on Variational Autoencoder Network von 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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TransVAE-DTA: Transformer and variational autoencoder network for drug-target binding affinity prediction von 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 von 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 …”
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Graph embedding and Gaussian mixture variational autoencoder network for end-to-end analysis of single-cell RNA sequencing data von Xu, Junlin, Xu, Jielin, Meng, Yajie, Lu, Changcheng, Cai, Lijun, Zeng, Xiangxiang, Nussinov, Ruth, Cheng, Feixiong

“… autoCell is a variational autoencoding network that combines graph embedding and a probabilistic depth Gaussian mixture model to infer the distribution of high-dimensional, sparse scRNA-seq data …”
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Image forgery detection by combining Visual Transformer with Variational Autoencoder Network von 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 von Alfakih, Amani, Xia, Zhengwang, Ali, Bahzar, Mamoon, Saqib, Lu, Jianfeng

“… To address this issue, we designed a novel model named deep causal variational autoencoder (CVAE …”
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Flight maneuver intelligent recognition based on deep variational autoencoder network von Tian, Wei, Zhang, Hong, Li, Hui, Xiong, Yuan

“… the training cycle and reduce the elimination rate. To this end, this paper uses deep variational auto-encoder network and adaptive dynamic time warping algorithms as support to explore the establishment of an integrated evaluation system for flight …”
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DCAVN: Cervical cancer prediction and classification using deep convolutional and variational autoencoder network von Khamparia, Aditya, Gupta, Deepak, Rodrigues, Joel J. P. C., de Albuquerque, Victor Hugo C.

“… We have adopted combination of convolutional network with variational autoencoder for data classification …”
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EUP: Enhanced cross-species prediction of ubiquitination sites via a conditional variational autoencoder network based on ESM2 von Liu, Junhao, Luo, Zeyu, Wang, Rui, Li, Xin, Sun, Yawen, Chen, Zongqing, Zhang, Yu-Juan

“… Then, utilizing conditional variational inference to reduce the ESM2 features to a lower-dimensional latent representation …”
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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 von Hu, Miao, Jiang, Shujiao, Jia, Fenglong, Yang, Xiaomei, Li, Zhiqiang

“… Expanding limited experimental data using a variational autoencoder generative adversarial network (VAEGAN …”
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EUP: Enhanced cross-species prediction of ubiquitination sites via a conditional variational autoencoder network based on ESM2 von Junhao Liu, Zeyu Luo, Rui Wang, Xin Li, Yawen Sun, Zongqing Chen, Yu-Juan Zhang

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Anomalous node detection in attributed social networks using dual variational autoencoder with generative adversarial networks von Khan, Wasim, Abidin, Shafiqul, Arif, Mohammad, Ishrat, Mohammad, Haleem, Mohd, Shaikh, Anwar Ahamed, Farooqui, Nafees Akhtar, Faisal, Syed Mohd

“… Many types of real-world information systems, including social media and e-commerce platforms, can be modelled by means of attribute-rich, connected networks …”
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Application of Variational Autoencoder Network to Real-Time Prediction of Steel Crown in the Hot Strip Rolling Mill Process von Zhang, Kai, Liu, Yundan, Wang, Yali, Zhang, Xiaowen

“… First, this work optimizes the traditional variational autoencoder (VAE) network by refining the loss function structure to improve feature extraction and prediction, tailoring the VAE to the unique requirements of crown prediction …”
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SNF–CVAE: Computational method to predict drug–disease interactions using similarity network fusion and collective variational autoencoder von Jarada, Tamer N., Rokne, Jon G., Alhajj, Reda

“… Drug repositioning is an emerging approach to identify novel therapeutic potentials for approved drugs and discover therapies for previously untreatable …”
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