Výsledky vyhledávání - sparse convolutional autoencoder ((scae 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)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Convolutional autoencoder-augmented sparse identification of noisy nonlinear fluid dynamics from unlabelled data

Autoři: Zhang, Meng Zeng, Fanfan Yousif, Mustafa Z. a další

Přispěvatelé: Zhang, Meng Zeng, Fanfan Yousif, Mustafa Z. a další

Zdroj: Physics of Fluids ; volume 37, issue 9 ; ISSN 1070-6631 1089-7666

Dostupnost: https://doi.org/10.1063/5.0280421
https://pubs.aip.org/aip/pof/article-pdf/doi/10.1063/5.0280421/20705151/095177_1_5.0280421.pdf

Multi-resolution reconstruction of longitudinal streambed footprints using embedded sparse convolutional autoencoders

Autoři: Yang, Yifan Tang, Zihao 邵东 a další

Přispěvatelé: Yang, Yifan Tang, Zihao 邵东 a další

Témata: Machine learning, Streambed footprint, Convolutional autoencoder, Multi-resolution reconstruction, RIVER, PROBABILITY, MODEL, Engineering, Geology, Water Resources, Civil, Geosciences, Multidisciplinary, 一类

Relation: JOURNAL OF HYDROLOGY; http://dspace.imech.ac.cn/handle/311007/100158; http://dspace.imech.ac.cn/handle/311007/100159

Dostupnost: http://dspace.imech.ac.cn/handle/311007/100158
http://dspace.imech.ac.cn/handle/311007/100159
https://doi.org/10.1016/j.jhydrol.2025.132852

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

Out-of-roundness damage wheel idenficaon in railway vehicles using autoencoder models

Autoři: Melo, Renato da Silva Cury, Alexandre Abrahão http://lattes.cnpq.br/1092810690505352 a další

Přispěvatelé: Melo, Renato da Silva Cury, Alexandre Abrahão http://lattes.cnpq.br/1092810690505352 a další

Témata: Monitoramento de integridade estrutural, Ferrovias, Detecção de danos, Ovalização, Autocodificador esparso, Autocodificador convolucional, Autocodificador variacional, Structural health monitoring, Railways, Damage detection, Out-of-roundness, Sparse autoencoder, Convolutional autoencoder, Variational autoencoder, CNPQ::ENGENHARIAS

Popis souboru: application/pdf

Relation: https://repositorio.ufjf.br/jspui/handle/ufjf/18552

Dostupnost: https://repositorio.ufjf.br/jspui/handle/ufjf/18552

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