Výsledky vyhledávání - Multi-scale convolutional recurrent variational autoencoder~

Anomaly detection for multivariate times series through the multi-scale convolutional recurrent variational autoencoder

Autoři: Tianming Xie Qifa Xu Cuixia Jiang

Zdroj: Expert Systems with Applications. 231:120725

Recurrent variational autoencoder approach for remaining useful life estimation.

Autoři: Costa, Nahuel Sánchez, Luciano

Zdroj: Logic Journal of the IGPL; Aug2024, Vol. 32 Issue 4, p605-623, 19p

Témata: REMAINING useful life, ELECTRIC propulsion, RECURRENT neural networks, TURBOFAN engines, AIRPLANE motors

Korporace: UNITED States. National Aeronautics & Space Administration

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

Autoři: Liu, Jingwen Huang, Yuchen Wu, Dizhi a další

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

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

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

Autoři: Yang, Ronghua Wu, Hao Yang, Rongfei a další

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

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

Efficient Image Compression with Transformer and Convolutional Dual Channel Networks.

Autoři: Jianhua Hu Guixiang Luo Zhangjiang Yuan a další

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

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

Unsupervised anomaly detection in shearers via autoencoder networks and multi-scale correlation matrix reconstruction.

Autoři: Song, Yang Wang, Weidong Wu, Yuxin a další

Zdroj: International Journal of Coal Science & Technology; 10/19/2024, Vol. 11 Issue 1, p1-11, 11p

Témata: COAL mining safety, COAL mining, STATISTICAL correlation, GENERALIZATION

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

Autoři: Wei, Liran Tang, Mingzhu Li, Na a další

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

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

Geografický termín: SHANGHAI (China)

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

Autoři: Abdulaal, Alaa Hussein Valizadeh, Morteza Yassin, Riyam Ali a další

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

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

Enhancing spatial-temporal video prediction with TS-VQ-VAE: A novel encoder-processor-decoder approach.

Autoři: Mei FENG Fan LI

Zdroj: Turkish Journal of Electrical Engineering & Computer Sciences; 2025, Vol. 33 Issue 2, p185-202, 18p

Témata: RECURRENT neural networks, CONVOLUTIONAL neural networks, TRAFFIC estimation, TRAFFIC flow, OPTICAL flow, VIDEO coding

Compact Image Transformer Based on Convolutional Variational Autoencoder with Augmented Attention Backbone for Target Recognition in Infrared Images.

Autoři: Nebili, Billel Khellal, Atmane Nemra, Abdelkrim a další

Zdroj: Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ); Mar2024, Vol. 49 Issue 3, p3383-3396, 14p

Témata: INFRARED imaging, TRANSFORMER models, IMAGE recognition (Computer vision), CONVOLUTIONAL neural networks, SPINE

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

Autoři: Chen, Chengliang Gong, Zhiqun

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

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

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

Autoři: Xu, Zhengyang Wang, Shitai Yin, Min a další

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

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

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

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

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

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

VARNet-6G with FIERO model for anomaly detection and enhancing network stability in future-ready communication systems.

Autoři: Ganesh, S. Sankar Abdelhaq, Maha Palanisamy, SatheeshKumar a další

Zdroj: Scientific Reports; 10/2/2025, Vol. 15 Issue 1, p1-29, 29p

Témata: ANOMALY detection (Computer security), DEEP learning, MATHEMATICAL optimization, COMPUTER network reliability, SCALABILITY, TELECOMMUNICATION

Cotton Yield Prediction with Gaussian Distribution Sampling and Variational AutoEncoder.

Autoři: Lan, Yaqi Wang, Xiudong Gao, Lei a další

Zdroj: Applied Sciences (2076-3417); Sep2025, Vol. 15 Issue 18, p9947, 22p

Témata: GAUSSIAN distribution, DATA augmentation, MACHINE learning, DEEP learning, AGRICULTURAL industries, ENCODING, LATENT variables

A Framework for Enhancing Stock Investment Performance by Predicting Important Trading Points with Return-Adaptive Piecewise Linear Representation and Batch Attention Multi-Scale Convolutional Recurrent Neural Network.

Autoři: Lin, Yu Liu, Ben

Zdroj: Entropy; Nov2023, Vol. 25 Issue 11, p1500, 25p

Témata: RECURRENT neural networks, STOCKS (Finance), VALUE investing (Finance)

Efficient Prediction of Shallow-Water Acoustic Transmission Loss Using a Hybrid Variational Autoencoder–Flow Framework.

Autoři: Su, Bolin Wang, Haozhong Zhu, Xingyu a další

Zdroj: Journal of Marine Science & Engineering; Jul2025, Vol. 13 Issue 7, p1325, 23p

Témata: DEEP learning, PREDICTION models, MATHEMATICAL optimization, SPEED of sound, PROBABILISTIC generative models, SOUND-wave attenuation, LATENT variables, WATER depth

From Spectrum to Image: A Novel Deep Clustering Network for Lactose-Free Milk Adulteration Detection.

Autoři: Zhang, Chong Ding, Shankui He, Ying

Zdroj: Information; Jun2025, Vol. 16 Issue 6, p498, 24p

Témata: NEAR infrared spectroscopy, AUTOENCODERS, FOOD safety, ADULTERATIONS, SILHOUETTES

EEG-to-EEG: Scalp-to-Intracranial EEG Translation Using a Combination of Variational Autoencoder and Generative Adversarial Networks.

Autoři: Abdi-Sargezeh, Bahman Shirani, Sepehr Valentin, Antonio a další

Zdroj: Sensors (14248220); Jan2025, Vol. 25 Issue 2, p494, 19p

Témata: GENERATIVE adversarial networks, AUTOENCODERS, EPILEPTIFORM discharges, ELECTROENCEPHALOGRAPHY, DATA mapping

Fault Diagnosis for Imbalanced Datasets Based on Deep Convolution Fuzzy System.

Autoři: Zhu, Junwei Zhu, Linfang

Zdroj: Machines; Apr2025, Vol. 13 Issue 4, p326, 20p

Témata: DATA augmentation, FUZZY systems, LATENT variables, AUTOENCODERS, WAVELET transforms