Výsledky vyhledávání - "deep convolutional autoencoder (CAE)"

Online quantitative monitoring of milling cutter health condition based on deep convolutional autoencoder.

Autoři: Lei, Yuncong Li, Changgen Guo, Liang a další

Zdroj: International Journal of Advanced Manufacturing Technology; Apr2023, Vol. 125 Issue 9/10, p4739-4752, 14p, 5 Charts, 6 Graphs

Témata: MILLING cutters, ONLINE monitoring systems, HEALTH status indicators, ONLINE education, PROBLEM solving, QUANTITATIVE research

Intelligent framework for unsupervised damage detection in bridges using deep convolutional autoencoder with wavelet transmissibility pattern spectra.

Autoři: Li, Shuai Cao, Yuxi Gdoutos, Emmanuel E. a další

Zdroj: Mechanical Systems & Signal Processing. Nov2024, Vol. 220, pN.PAG-N.PAG. 1p.

Témata: *DEEP learning, *SUPERVISED learning, *SUSPENSION bridges, *BRIDGES, *MACHINE learning

基于内积矩阵及卷积自编码器的 螺栓松动状态监测. (Chinese)

Alternate Title: BOLT LOOSENING STATE MONITORING BASED ON INNER PRODUCT MATRIX AND CONVOLUTIONAL AUTOENCODER. (English)

Autoři: 张敏照 王 乐 田鑫海

Zdroj: Engineering Mechanics / Gongcheng Lixue; 2022, Vol. 39 Issue 12, p222-231, 10p

Improved AutoEncoder with LSTM module and KL divergence

Autoři: Huang, Wei Zhang, Bingyang Zhang, Kaituo a další

Témata: Computer Science - Machine Learning, Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2404.19247

Detection of brain network abnormalities by graph invariants in Alzheimer's disease using MRI images.

Autoři: NallappaBhavithran, G. Selvakumar, R.

Zdroj: Scientific Reports; 11/26/2025, Vol. 15 Issue 1, p1-16, 16p

Structural Health Monitoring Using Image Processing and Advanced Technologies for the Identification of Deterioration of Building Structure: A Review.

Autoři: Bodke, Kavita Bhirud, Sunil Sangle, Keshav Kashinath

Zdroj: Structural Durability & Health Monitoring (SDHM); 2025, Vol. 19 Issue 6, p1547-1562, 16p

Témata: STRUCTURAL health monitoring, IMAGE processing, MACHINE learning, DEEP learning, COMPUTER vision, DETERIORATION of materials, ARTIFICIAL intelligence, FAILURE analysis

A Review of Robotic Aircraft Skin Inspection: From Data Acquisition to Defect Analysis.

Autoři: Piao, Minnan Wang, Xuan Wang, Weiling a další

Zdroj: Mathematics (2227-7390); Oct2025, Vol. 13 Issue 19, p3161, 43p

Témata: AIRPLANE inspection, DRONE aircraft, AUTONOMOUS vehicles, AUTONOMOUS robots, IMPERFECTION, ACQUISITION of data, MULTIAGENT systems, TECHNOLOGICAL innovations

Target Object Recognition Using Multiresolution SVD and Guided Filter with Convolutional Neural Network.

Autoři: Biswas, Biswajit Ghosh, Swarup Kr Ghosh, Anupam a další

Zdroj: International Journal of Pattern Recognition & Artificial Intelligence; Nov2020, Vol. 34 Issue 12, pN.PAG-N.PAG, 26p

Témata: CONVOLUTIONAL neural networks, IMAGE fusion, SINGULAR value decomposition, COMPUTER vision, FILTERS & filtration

U-net like deep autoencoders for deblurring atmospheric turbulence.

Autoři: Chen, Gongping Gao, Zhisheng Wang, Qiaolu a další

Zdroj: Journal of Electronic Imaging; Sep/Oct2019, Vol. 28 Issue 5, p1-14, 14p

Témata: ATMOSPHERIC turbulence, ARTIFICIAL neural networks, IMAGE reconstruction, SIGNAL-to-noise ratio, FEATURE extraction, DATA integrity

Time-frequency informed stacked long short-term memory-based generative adversarial network for missing data imputation in sensor networks.

Autoři: Wang, Zixin Kachireddy, Malleswari Mondal, Tarutal Ghosh a další

Zdroj: Engineering Applications of Artificial Intelligence. Sep2025, Vol. 155, pN.PAG-N.PAG. 1p.

Témata: *LONG short-term memory, *GENERATIVE adversarial networks, *DEEP learning, *CIVIL engineering, *DATA acquisition systems, *MISSING data (Statistics), *STRUCTURAL health monitoring

Content-based image retrieval for the diagnosis of myocardial perfusion imaging using a deep convolutional autoencoder.

Autoři: Higaki, Akinori Kawaguchi, Naoto Kurokawa, Tsukasa a další

Zdroj: Journal of Nuclear Cardiology; Apr2023, Vol. 30 Issue 2, p540-549, 10p

Deep Neural Network with Anomaly Detection for Single-Cycle Battery Lifetime Prediction.

Autoři: Lee, Junghwan Wang, Longda Jung, Hoseok a další

Zdroj: Batteries; Aug2025, Vol. 11 Issue 8, p288, 22p

Témata: AUTOENCODERS, DEEP learning, ARTIFICIAL neural networks, DATA integrity, REMAINING useful life, OUTLIER detection, ELECTRIC vehicles

Deep convolutional autoencoder for radar-based classification of similar aided and unaided human activities.

Autoři: Seyfioglu, Mehmet Saygin Ozbayoglu, Ahmet Murat Gurbuz, Sevgi Zubeyde

Zdroj: IEEE Transactions on Aerospace & Electronic Systems; Aug2018, Vol. 54 Issue 4, p1709-1723, 15p

Témata: RADAR, DEEP learning, DOPPLER effect, SUPPORT vector machines, LINEAR predictive coding

Optimization of Deep Learning Models for Enhanced Respiratory Signal Estimation Using Wearable Sensors.

Autoři: Kim, Jiseon Kim, Jooyong

Zdroj: Processes; Mar2025, Vol. 13 Issue 3, p747, 15p

Témata: CONVOLUTIONAL neural networks, VENTILATION monitoring, CAPACITIVE sensors, WEARABLE technology, EVIDENCE gaps, DEEP learning

Bayesian full waveform inversion with learned prior using deep convolutional autoencoder

Autoři: Hu, Shuhua Sen, Mrinal K Zhao, Zeyu a další

Témata: Geophysics

Relation: http://arxiv.org/abs/2511.02737

Dostupnost: http://arxiv.org/abs/2511.02737

Abnormal gait recognition with millimetre‐wave radar based on perceptual loss and convolutional temporal autoencoder.

Autoři: Zhao, Peng Hong, Ling Wang, Yu

Zdroj: IET Radar, Sonar & Navigation (Wiley-Blackwell); Dec2024, Vol. 18 Issue 12, p2630-2641, 12p

Témata: GAIT disorders, AUTOENCODERS, LONG short-term memory, SPECTROGRAMS, RADAR

Wood-species identification based on terahertz spectral data augmentation and pseudo-label guided deep clustering.

Autoři: Wang, Yuan Wang, Zhi-Gang He, Yi-Hao a další

Zdroj: Wood Material Science & Engineering; Oct2024, Vol. 19 Issue 5, p1004-1014, 11p

Témata: WOOD, DATA augmentation, MACHINE learning, PROBLEM solving, TERAHERTZ spectroscopy, GRISELINIA littoralis

Deep Density-based Image Clustering

Autoři: Ren, Yazhou Wang, Ni Li, Mingxia a další

Témata: Computer Science - Machine Learning, Computer Science - Computer Vision and Pattern Recognition, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/1812.04287

Combining EEG Features and Convolutional Autoencoder for Neonatal Seizure Detection.

Autoři: Wang, Yuxia Yuan, Shasha Liu, Jin-Xing a další

Zdroj: International Journal of Neural Systems; Aug2024, Vol. 34 Issue 8, p1-13, 13p

Témata: ELECTROENCEPHALOGRAPHY, SUPERVISED learning, NEONATAL intensive care units, EPILEPSY

Korporace: HELSINGIN yliopisto

Signal Adaptive Threshold for ECG Signal Compression Using False Discovery Rate Approach.

Autoři: Rajankar, Supriya Rajankar, Omprakash Talbar, Sanjay a další

Zdroj: Circuits, Systems & Signal Processing; Aug2024, Vol. 43 Issue 8, p5065-5089, 25p

Témata: RUN-length encoding, ENERGY consumption, CODECS, ELECTROCARDIOGRAPHY, PROBABILITY theory, FALSE discovery rate