Výsledky vyhledávání - sparse convolutional autoencoder (((scae OR sae) OR cae))

Sparse convolutional autoencoder‐based fault location for drive circuits in nuclear reactors.

Autoři: Yang, Cheng Yuan, Yannan Wang, Fu a další

Zdroj: Quality & Reliability Engineering International; Mar2024, Vol. 40 Issue 2, p819-837, 19p

Témata: FAULT location (Engineering), NUCLEAR reactors, NUCLEAR reactor control, FAULT diagnosis, ELECTRONIC equipment, LINE drivers (Integrated circuits)

SCAE—Stacked Convolutional Autoencoder for Fault Diagnosis of a Hydraulic Piston Pump with Limited Data Samples.

Autoři: Eraliev, Oybek Lee, Kwang-Hee Lee, Chul-Hee

Zdroj: Sensors (14248220); Jul2024, Vol. 24 Issue 14, p4661, 17p

Témata: RECIPROCATING pumps, FAULT diagnosis, HIERARCHICAL Bayes model, CONVOLUTIONAL neural networks, DEEP learning, MACHINE learning, FEATURE extraction, DIAGNOSIS

Investigating Beta-Variational Convolutional Autoencoders for the Unsupervised Classification of Chest Pneumonia.

Autoři: Akila, Serag Mohamed Imanov, Elbrus Almezhghwi, Khaled

Zdroj: Diagnostics (2075-4418); Jul2023, Vol. 13 Issue 13, p2199, 14p

Témata: MACHINE learning, PNEUMONIA, ANOMALY detection (Computer security), LUNG infections, DIAGNOSIS, KLEBSIELLA infections

Sparse convolutional autoencoder‐based fault location for drive circuits in nuclear reactors

Autoři: Cheng Yang Yannan Yuan Fu Wang a další

Zdroj: Quality and Reliability Engineering International. 40:819-837

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

基于改进生成对抗网络和 Swin Transformer 的样本不均衡轴承故障诊断.

Alternate Title: Bearing fault diagnosis based on improved generative adversarial network and Swin Transformer under imbalanced sample conditions.

Autoři: 马良玉 黄日灏 段晓冲 a další

Zdroj: Journal of Nanjing University of Information Science & Technology (Natural Science Edition) / Nanjing Xinxi Gongcheng Daxue Xuebao (ziran kexue ban). Jul2025, Vol. 17 Issue 4, p528-537. 10p.

Témata: *Transformer models, Convolutional neural networks, Generative adversarial networks, Fault diagnosis, Deep learning

Sparse deep encoded features with enhanced sinogramic red deer optimization for fault inspection in wafer maps.

Autoři: Altantawy, Doaa A. Yakout, Mohamed A.

Zdroj: Journal of Intelligent Manufacturing. Jun2025, Vol. 36 Issue 5, p3359-3397. 39p.

Témata: *MANUFACTURING processes, *INFORMATION processing, CONVOLUTIONAL neural networks, OPTIMIZATION algorithms, AUTOENCODERS

Unsupervised sparse convolutional autoencoder for multi-class change detection in hyperspectral images

Autoři: Bergamasco, Luca Bovolo, Francesca

Zdroj: Artificial Intelligence and Image and Signal Processing for Remote Sensing XXX. :22

Témata: Convolutional Autoencoder, Hyperspectral images, Multi-class Change Detection, Spectral Unmixing, Unsupervised Change Detection

Sensor-Driven Surrogate Modeling and Control of Nonlinear Dynamical Systems Using FAE-CAE-LSTM and Deep Reinforcement Learning

Autoři: Kherad, M. Moayyedi, M. K. Fotouhi-Ghazvini, F. a další

Zdroj: Sensors. 25(16)

Témata: Autoencoders, Control Of Dynamical Systems, Cyber-physical Systems, Deep Reinforcement Learning, Long Short-term Memory, Sensor-driven Modeling, Circular Cylinders, Computer Control Systems, Convolution, Dynamical Systems, Dynamics, Embedded Systems, Flow Control, Fuel Additives, Nonlinear Dynamical Systems, Real Time Control, Robust Control, Auto Encoders, Control Of Dynamical System, Cybe-physical Systems, High-dimensional, Higher-dimensional, Reinforcement Learning Agent, Reinforcement Learnings, Short Term Memory

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-73172
https://doi.org/10.3390/s25165149

Out-of-Roundness Wheel Damage Identification in Railway Vehicles Using AutoEncoder Models

Autoři: Renato Melo Rafaelle Finotti António Guedes a další

Zdroj: Applied Sciences, Vol 15, Iss 5, p 2662 (2025)

Témata: structural health monitoring, railways, damage detection, out of roundness, sparse autoencoder, convolutional autoencoder, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2076-3417/15/5/2662; https://doaj.org/toc/2076-3417

Přístupová URL adresa: https://doaj.org/article/25623879dc094408963692cb2aa1b01c

Convolutional autoencoder-based deep learning for intracerebral hemorrhage classification using brain CT images.

Autoři: Nageswara Rao, B. Acharya, U. Rajendra Tan, Ru-San a další

Zdroj: Cognitive Neurodynamics; 5/19/2025, Vol. 19 Issue 1, p1-13, 13p

Noise-Tolerant Data Reconstruction Based on Convolutional Autoencoder for Wireless Sensor Network †.

Autoři: Lai, Trinh Thuc Tran, Tuan Phong Cho, Jaehyuk a další

Zdroj: Applied Sciences (2076-3417); Sep2023, Vol. 13 Issue 18, p10090, 19p

Témata: WIRELESS sensor networks, DATA recovery, NOISE, NOISE control

Enhanced heart sound anomaly detection via WCOS: a semi-supervised framework integrating wavelet, autoencoder and SVM.

Autoři: Zeng, Peipei Kang, Shuimiao Fan, Fan a další

Zdroj: Frontiers in Neuroinformatics; 2025, p1-15, 15p

Témata: ANOMALY detection (Computer security), HEART murmurs, SUPPORT vector machines, CONGENITAL heart disease, AUTOENCODERS

Temperature scaling unmixing framework based on convolutional autoencoder

Autoři: Jin Xu Mingming Xu Shanwei Liu a další

Zdroj: International Journal of Applied Earth Observations and Geoinformation, Vol 129, Iss , Pp 103864- (2024)

Témata: Hyperspectral unmixing, Convolutional autoencoder, Sparsity constraint, Temperature scaling, Equal-frequency binning, Physical geography, GB3-5030, Environmental sciences, GE1-350

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1569843224002188; https://doaj.org/toc/1569-8432

Přístupová URL adresa: https://doaj.org/article/aa7533b7fbf447e1a8b51942e4c8c5f4

A Novel Multi-Task and Ensembled Optimized Parallel Convolutional Autoencoder and Transformer for Speech Emotion Recognition

Autoři: Zahra Sharifzadeh Jafari Sanaz Seyedin

Zdroj: AUT Journal of Electrical Engineering, Vol 56, Iss 2, Pp 213-226 (2024)

Témata: speech emotion recognition, mel frequency cepstral coefficients, autoencoder, transformer, multi-task deep learning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis souboru: electronic resource

Relation: https://eej.aut.ac.ir/article_5336_945e73b38cfede1308072d0f634d7969.pdf; https://doaj.org/toc/2588-2910; https://doaj.org/toc/2588-2929

Přístupová URL adresa: https://doaj.org/article/09b910d7b3a44bcabfa7902391f7b0cb

Electroencephalogram Emotion Recognition Based on 3D Feature Fusion and Convolutional Autoencoder.

Autoři: An, Yanling Hu, Shaohai Duan, Xiaoying a další

Zdroj: Frontiers in Computational Neuroscience; 10/18/2021, Vol. 15, p1-13, 13p

Témata: EMOTION recognition, BRAIN-computer interfaces, SIGNAL convolution, DIFFERENTIAL entropy, CONVOLUTIONAL neural networks, ELECTROENCEPHALOGRAPHY, EMOTIONS, FEATURE extraction

Feature extraction of fields of fluid dynamics data using sparse convolutional autoencoder.

Autoři: Obayashi, Wataru Aono, Hikaru Tatsukawa, Tomoaki a další

Zdroj: AIP Advances; Oct2021, Vol. 11 Issue 10, p1-6, 6p

Témata: FLUID dynamics, FEATURE extraction, PROPER orthogonal decomposition, NAVIER-Stokes equations, CONVOLUTIONAL neural networks, UNSTEADY flow, COMPRESSIBLE flow

A radar emitter structural identification method for complex conditions based on compressed sensing and an autoencoder.

Autoři: Song, Yu Zhang, Wei Yang, Yaozu a další

Zdroj: Nonlinear Dynamics; Aug2025, Vol. 113 Issue 15, p19159-19178, 20p

A Particle Swarm Optimization-Based Flexible Convolutional Autoencoder for Image Classification.

Autoři: Sun, Yanan Xue, Bing Zhang, Mengjie a další

Zdroj: IEEE Transactions on Neural Networks & Learning Systems; Aug2019, Vol. 30 Issue 8, p2295-2309, 15p

Témata: PARTICLE swarm optimization, CLASSIFICATION, COMPUTER architecture

Face Recognition Based on Stacked Convolutional Autoencoder and Sparse Representation

Autoři: Hong Xu Kai Liu Jianjun Yang a další

Zdroj: 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP). :1-4

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 3. Good health

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/icdsp/icdsp2018.html#ChangYLXLH18

Investigating Beta-Variational Convolutional Autoencoders for the Unsupervised Classification of Chest Pneumonia

Autoři: Serag Mohamed Akila Elbrus Imanov Khaled Almezhghwi

Zdroj: Diagnostics, Vol 13, Iss 13, p 2199 (2023)

Témata: chest pneumonia, classification, unsupervised learning, convolution, autoencoder, variational, Medicine (General), R5-920

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2075-4418/13/13/2199; https://doaj.org/toc/2075-4418

Přístupová URL adresa: https://doaj.org/article/3f5772b5ed7f4a0e867c5884e5bbc516