Suchergebnisse - "Convolutional variational autoencoder (CVAE)"

A Zero-Shot Fault Detection Method for UAV Sensors Based on a Novel CVAE-GAN Model von Li, Chuanjiang, Luo, Kai, Yang, Lei, Li, Shaobo, Wang, Haoyu, Zhang, Xiangjie, Liao, Zihao

“… Unmanned aerial vehicles (UAVs) have demonstrated remarkable versatility across a spectrum of missions, and their autonomous flight and real-time control …”
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CNN-LSTM-Based Fault Diagnosis and Adaptive Multichannel Fusion Calibration of Filament Current Sensor for Mass Spectrometer von Li, Xinshuo, Li, Pinghua, Zhang, Zhen, Yin, Jiancheng, Sheng, Yunlong, Zhang, Luoxuan, Zhou, Wenxing, Zhuang, Xuye

“… The mass spectrometer filament current sensor reflects the health status of the filament by detecting real-time variation in filament current, providing an …”
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Unsupervised few shot learning architecture for diagnosis of periodontal disease in dental panoramic radiographs von Kim, Min Joo, Chae, Sun Geu, Bae, Suk Joo, Hwang, Kyung-Gyun

“… Our method leverages UNet architecture for generating regions of interest (RoI) from radiographs, which are then processed through a Convolutional Variational Autoencoder (CVAE …”
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Automated construction of Wi-Fi-based indoor logical location predictor using crowd-sourced photos with Wi-Fi signals von Kumrai, Teerawat, Korpela, Joseph, Zhang, Yizhe, Ohara, Kazuya, Murakami, Tomoki, Abeysekera, Hirantha, Maekawa, Takuya

“… Owing to the recent proliferation of smartphones and the SNS, a large number of images taken by smartphones at various places have been uploaded to SNSs. In …”
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A multimodal deep fusion graph framework to detect social distancing violations and FCGs in pandemic surveillance von Varghese, Elizabeth B., Thampi, Sabu M.

“… In pandemic surveillance, ensuring social distance has emerged as a challenging issue due to the lack of proper therapeutic agents, and this envisages the need …”
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Learning Deep Features for Robotic Inference From Physical Interactions von Dehban, Atabak, Zhang, Shanghang, Cauli, Nino, Jamone, Lorenzo, Santos, Jose

“… to robotic data, and to the cost typically associated with collecting this type of input. In this article, we propose a deep probabilistic method based on convolutional variational autoencoders (CVAEs …”
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Deep Learning Techniques for Radar-Based Continuous Human Activity Recognition von Mehta, Ruchita, Sharifzadeh, Sara, Palade, Vasile, Tan, Bo, Daneshkhah, Alireza, Karayaneva, Yordanka

“… Human capability to perform routine tasks declines with age and age-related problems. Remote human activity recognition (HAR) is beneficial for regular …”
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Anomaly Detection in Hyperspectral Image Using 3D-Convolutional Variational Autoencoder von Zhang, Jingfa, Xu, Yang, Zhan, Tianming, Wu, Zebin, Wei, Zhihui

“… Anomaly detection (AD) has become a hot topic in hyperspectral image (HSI) analysis. Anomalies are samples that are significantly different from the …”
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Continuous Human Activity Recognition using Radar Imagery and Dynamic Time Warping von Mehta, Ruchita, Palade, Vasile, Sharifzadeh, Sara, Tan, Bo, Karayaneva, Yordanka

“… Remote Human Activity Recognition (HAR) in a private residential area has a beneficial influence on the elderly population's life, since this group of people …”
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Variational Convolutional Autoencoders for Anomaly Detection in Scanning Transmission Electron Microscopy von Prifti, Enea, Buban, James P., Thind, Arashdeep Singh, Klie, Robert F.

“… Identifying point defects and other structural anomalies using scanning transmission electron microscopy (STEM) is important to understand a material's …”
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Deep clustering of protein folding simulations von Bhowmik, Debsindhu, Gao, Shang, Young, Michael T., Ramanathan, Arvind

“… into the atomistic mechanisms that underlie complex biological processes. Results We use a convolutional variational autoencoder (CVAE …”
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CASTELO: clustered atom subtypes aided lead optimization—a combined machine learning and molecular modeling method von Zhang, Leili, Domeniconi, Giacomo, Yang, Chih-Chieh, Kang, Seung-gu, Zhou, Ruhong, Cong, Guojing

“… Background Drug discovery is a multi-stage process that comprises two costly major steps: pre-clinical research and clinical trials. Among its stages, lead …”
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CVAE-DF: A hybrid deep learning framework for fertilization status detection of pre-incubation duck eggs based on VIS/NIR spectroscopy von Wang, Dongqiao, Wang, Qiaohua, Chen, Zhuoting, Guo, Juncai, Li, Shijun

“… [Display omitted] •A Convolutional Variational Autoencoder was built for better feature extraction.•The base classifiers of Deep Forest were upgraded to …”
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Hydrogeophysical Characterization of Nonstationary DNAPL Source Zones by Integrating a Convolutional Variational Autoencoder and Ensemble Smoother von Kang, Xueyuan, Kokkinaki, Amalia, Kitanidis, Peter K., Shi, Xiaoqing, Lee, Jonghyun, Mo, Shaoxing, Wu, Jichun

“… We trained a convolutional variational autoencoder (CVAE) using data from multiphase modeling that captures the physics of DNAPL infiltration …”
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MetaCancer: A deep learning-based pan-cancer metastasis prediction model developed using multi-omics data von Albaradei, Somayah, Napolitano, Francesco, Thafar, Maha A., Gojobori, Takashi, Essack, Magbubah, Gao, Xin

“… [Display omitted] Predicting metastasis in the early stages means that clinicians have more time to adjust a treatment regimen to target the primary and …”
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Deep order-wavelet convolutional variational autoencoder for fault identification of rolling bearing under fluctuating speed conditions von Yan, Xiaoan, She, Daoming, Xu, Yadong

“… •A novel model named DOWCVAE is proposed for bearing fault identification.•An optimizer hailed as MOGWO is introduced for parameter adaptive selection.•Our …”
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Dynamics-Based Peptide-MHC Binding Optimization by a Convolutional Variational Autoencoder: A Use-Case Model for CASTELO von Bell, David R, Domeniconi, Giacomo, Yang, Chih-Chieh, Zhou, Ruhong, Zhang, Leili, Cong, Guojing

“… antigens of increased MHC-II binding affinity for a type 1 diabetes-implicated system. We build upon a small-molecule lead optimization algorithm by training a convolutional variational autoencoder (CVAE …”
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Unsupervised detection of high-frequency oscillations in intracranial electroencephalogram: promoting a valuable automated diagnostic tool for epilepsy von Chen, Wenjing, Kang, Tongzhou, Heyat, Md Belal Bin, Fatima, Jamal E., Xu, Yuanning, Lai, Dakun

“… The proposed method utilizes an unsupervised convolutional variational autoencoder (CVAE) model in conjunction with the short-term energy method (STE …”
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Classification and functional prediction of fungal glycosyltransferases using machine learning and deep learning methods von Gomez-Garcia, Alejandro Jose, Ramirez-Prado, Jorge Humberto

“… Employing their predicted three-dimensional folding as well as their amino acid structural and biochemical characteristics, a Convolutional Variational Autoencoder (CVAE …”
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Unsupervised feature learning for electrocardiogram data using the convolutional variational autoencoder von Jang, Jong-Hwan, Kim, Tae Young, Lim, Hong-Seok, Yoon, Dukyong

“… It is difficult to manually define all ECG features. We propose an unsupervised feature learning method using a convolutional variational autoencoder (CVAE …”
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