Výsledky vyhľadávania - multi-scale convolutional current variational autoencoder~

Convolutional variational autoencoder and multi-scale attention convolutional neural network based diagnostics on filament current sensors for mass spectrometers

Autori: Xinshuo Li Wenxing Zhou Jiancheng Yin a ďalší

Zdroj: Engineering Applications of Artificial Intelligence. 138:109443

Multi-Channel Multi-Scale Convolution Attention Variational Autoencoder (MCA-VAE): An Interpretable Anomaly Detection Algorithm Based on Variational Autoencoder.

Autori: Liu, Jingwen Huang, Yuchen Wu, Dizhi a ďalší

Zdroj: Sensors (14248220); Aug2024, Vol. 24 Issue 16, p5316, 24p

Predmety: CONVOLUTIONAL neural networks, ARTIFICIAL neural networks, DISTRIBUTION (Probability theory), INDUSTRIAL controls manufacturing, CONDITIONAL probability, AUTOENCODERS

Multiscale Variational Autoencoder Aided Convolutional Neural Network for Pose Estimation of Tunneling Machine Using a Single Monocular Image

Autori: Hongzhuang Wu Songyong Liu Cheng Cheng a ďalší

Zdroj: IEEE Transactions on Industrial Informatics. 18:5161-5170

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://ieeexplore.ieee.org/document/9591347

Efficient Image Compression with Transformer and Convolutional Dual Channel Networks.

Autori: Jianhua Hu Guixiang Luo Zhangjiang Yuan a ďalší

Zdroj: Journal of Imaging Science & Technology; Jul/Aug2025, Vol. 69 Issue 4, p1-13, 13p

Predmety: IMAGE compression, DEEP learning, CONVOLUTIONAL neural networks, LATENT variables, AUTOENCODERS, TRANSFORMER models

Spatial-Frequency-Scale Variational Autoencoder for Enhanced Flow Diagnostics of Schlieren Data.

Autori: Yang, Ronghua Wu, Hao Yang, Rongfei a ďalší

Zdroj: Sensors (14248220); Oct2025, Vol. 25 Issue 19, p6233, 29p

Predmety: FLUID dynamics, AUTOENCODERS, FLOW visualization, FOURIER transforms, DEEP learning, FEATURE extraction, FORECASTING

Small sample pipeline DR defect detection based on smooth variational autoencoder and enhanced detection head faster RCNN.

Autori: Zhang, Ting You, Tianyang Liu, Zhaoying a ďalší

Zdroj: Applied Intelligence; Jul2025, Vol. 55 Issue 10, p1-29, 29p

Predmety: AUTOENCODERS, SAMPLE size (Statistics), CLASSIFICATION, CALIBRATION

Multifractal-Aware Convolutional Attention Synergistic Network for Carbon Market Price Forecasting.

Autori: Wei, Liran Tang, Mingzhu Li, Na a ďalší

Zdroj: Fractal & Fractional; Jul2025, Vol. 9 Issue 7, p449, 25p

Predmety: MULTIFRACTALS, CONVOLUTIONAL neural networks, ARTIFICIAL intelligence, FLUCTUATIONS (Physics), STOCK price forecasting, CARBON offsetting

Geografický termín: SHANGHAI (China)

Research on Mechanical Fault Diagnosis Method of Isolation Switch Based on Variational Autoencoder.

Autori: He, Shun Zhou, Fangrong Tan, Xiangyu a ďalší

Zdroj: Processes; Aug2025, Vol. 13 Issue 8, p2388, 17p

Predmety: FAULT diagnosis, OUTLIER detection, REAL-time computing, PROBABILISTIC generative models, HIGH voltages, CONDITION-based maintenance, GALVANIC isolation, MACHINE learning

Unsupervised Histopathological Sub-Image Analysis for Breast Cancer Diagnosis Using Variational Autoencoders, Clustering, and Supervised Learning.

Autori: Abdulaal, Alaa Hussein Valizadeh, Morteza Yassin, Riyam Ali a ďalší

Zdroj: Journal of Engineering & Sustainable Development; Nov2024, Vol. 28 Issue 6, p729-744, 16p

Predmety: CONVOLUTIONAL neural networks, CANCER diagnosis, K-means clustering, AUTOENCODERS, FEATURE extraction

Frequency-Quantized Variational Autoencoder Based on 2D-FFT for Enhanced Image Reconstruction and Generation.

Autori: Feng, Jianxin Liu, Xiaoyao

Zdroj: Computers, Materials & Continua; 2025, Vol. 83 Issue 2, p2087-2107, 21p

Predmety: IMAGE reconstruction, AUTOENCODERS, PERCEPTUAL learning, FAST Fourier transforms

Hybrid 3D Medical Image Segmentation Using CNN and Frequency Transformer Fusion.

Autori: Labbihi, Ismayl El Meslouhi, Othmane Elassad, Zouhair Elamrani Abou a ďalší

Zdroj: Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ); Aug2025, Vol. 50 Issue 15, p11713-11726, 14p

Predmety: CONVOLUTIONAL neural networks, TRANSFORMER models, FAST Fourier transforms, COMPUTER-assisted image analysis (Medicine), AUTOENCODERS, FOURIER transforms, ARTIFICIAL neural networks

Identification of microbe–disease signed associations via multi-scale variational graph autoencoder based on signed message propagation.

Autori: Zhu, Huan Hao, Hongxia Yu, Liang

Zdroj: BMC Biology; 8/15/2024, Vol. 22 Issue 1, p1-15, 15p

Predmety: MICROBIOTA, INTERPERSONAL relations, DATA distribution, INDIVIDUALIZED medicine, DISEASE progression, AUTOENCODERS

Personalized design aesthetic preference modeling: a variational autoencoder and meta-learning approach for multi-modal feature representation and transfer optimization.

Autori: Chen, Chengliang Gong, Zhiqun

Zdroj: Scientific Reports; 11/24/2025, Vol. 15 Issue 1, p1-19, 19p

Predmety: AESTHETIC judgment, FEATURE extraction, CUSTOM design, KNOWLEDGE transfer, MACHINE learning

Variational Autoencoder Model Based on 3D Convolutional Neural Network for generative design framework of 3D chair.

Autori: Park, T. min Park, J. Murdivien, S. A. a ďalší

Zdroj: International Journal of Industrial Engineering & Management (IJIEM); Mar2024, Vol. 15 Issue 1, p1-17, 17p

Predmety: CONVOLUTIONAL neural networks, THREE-dimensional modeling, CHAIR design & construction, HUMAN-machine systems, GENERATIVE artificial intelligence

Landslide Susceptibility Assessment via Imbalanced Data Augmentation with Tabular Variational Autoencoder and Quality–Diversity Post-Selection.

Autori: Xu, Zhengyang Wang, Shitai Yin, Min a ďalší

Zdroj: Applied Sciences (2076-3417); Nov2025, Vol. 15 Issue 22, p11965, 25p

Predmety: LANDSLIDES, DATA augmentation, BOOSTING algorithms, NATURAL disasters, RISK assessment

MST-VAE: Multi-Scale Temporal Variational Autoencoder for Anomaly Detection in Multivariate Time Series.

Autori: Pham, Tuan-Anh Lee, Jong-Hoon Park, Choong-Shik

Zdroj: Applied Sciences (2076-3417); Oct2022, Vol. 12 Issue 19, p10078, 14p

Predmety: ANOMALY detection (Computer security), TIME series analysis, INTRUSION detection systems (Computer security)

Study on the quantitative analysis of Tilianin based on Raman spectroscopy combined with deep learning.

Autori: Jiang, Wen Liu, Wei Xin, Xiaotong a ďalší

Zdroj: PLoS ONE; 6/18/2025, Vol. 20 Issue 6, p1-17, 17p

Predmety: ARTIFICIAL neural networks, MACHINE learning, CONVOLUTIONAL neural networks, HIGH performance liquid chromatography, AUTOENCODERS, DEEP learning

Symmetry-Aware CVAE-ACGAN-Based Feature Generation Model and Its Application in Fault Diagnosis.

Autori: Ma, Long Liu, Yingjie Zhang, Yue a ďalší

Zdroj: Symmetry (20738994); Jun2025, Vol. 17 Issue 6, p947, 20p

Predmety: CONVOLUTIONAL neural networks, GENERATIVE adversarial networks, STANDARD deviations, AUTOENCODERS, DEEP learning

Design of a Distance Learning Supervision System Based on Time-Series Data of Learning Behaviors.

Autori: Zhu, Yan

Zdroj: Journal of Advanced Computational Intelligence & Intelligent Informatics; Mar2025, Vol. 29 Issue 2, p337-348, 12p

Predmety: SEARCH algorithms, AUTOENCODERS, DISTANCE education, FEATURE extraction, ACHIEVEMENT gains (Education)

AVAFN-adaptive variational autoencoder fusion network for multispectral image.

Autori: Chu, Wen-Lin Tu, Ching-Che Jian, Bo-Lin

Zdroj: Multimedia Tools & Applications; Dec2024, Vol. 83 Issue 41, p89297-89315, 19p

Predmety: IMAGE fusion, FEATURE extraction, IMAGE processing, AUTOENCODERS, ARTIFICIAL intelligence, DEEP learning