Výsledky vyhľadávania - sparse convolutional autoencoder ((sace OR cae))

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

Autori: Bergamasco, Luca Bovolo, Francesca

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

Predmety: 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.

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

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

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

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

Autori: Kherad, M. Moayyedi, M. K. Fotouhi-Ghazvini, F. a ďalší

Zdroj: Sensors. 25(16)

Predmety: 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 súboru: print

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

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

Autori: Nageswara Rao, B. Acharya, U. Rajendra Tan, Ru-San a ďalší

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

Temperature scaling unmixing framework based on convolutional autoencoder

Autori: Jin Xu Mingming Xu Shanwei Liu a ďalší

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

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

Popis súboru: electronic resource

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

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

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

Autori: Zeng, Peipei Kang, Shuimiao Fan, Fan a ďalší

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

Predmety: 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

Autori: Renato Melo Rafaelle Finotti António Guedes a ďalší

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

Predmety: 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 súboru: electronic resource

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

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

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

Autori: Zahra Sharifzadeh Jafari Sanaz Seyedin

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

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

Popis súboru: electronic resource

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

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

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

Autori: Zhang, Meng Zeng, Fanfan Yousif, Mustafa Z. a ďalší

Prispievatelia: Zhang, Meng Zeng, Fanfan Yousif, Mustafa Z. a ďalší

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

Dostupnosť: 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

Autori: Yang, Yifan Tang, Zihao 邵东 a ďalší

Prispievatelia: Yang, Yifan Tang, Zihao 邵东 a ďalší

Predmety: 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

Dostupnosť: 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

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

Autori: Yang, Cheng Yuan, Yannan Wang, Fu a ďalší

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

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

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

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

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

Predmety: 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 súboru: application/pdf

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

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

Leveraging variant of CAE with sparse convolutional embedding and two-stage application-driven data augmentation for image clustering.

Autori: Liu, Yanming Liu, Jinglei

Zdroj: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Feb2025, Vol. 29 Issue 3, p1419-1435, 17p

Predmety: DATA augmentation, AUTOENCODERS

A performance analysis of convolutional autoencoder modified WaveGAN architectures for realistic 12 lead electrocardiogram synthesis.

Autori: Liu, Jiaqi Chui, Kwok Tai Lee, Lap-Kei a ďalší

Zdroj: Scientific Reports; 10/17/2025, Vol. 15 Issue 1, p1-22, 22p

Predmety: GENERATIVE adversarial networks, ELECTROCARDIOGRAPHY, ROUTINE diagnostic tests, FEATURE extraction, PROBABILISTIC generative models, DEEP learning, RESEARCH evaluation, DATA augmentation

Estimation of Damaged Surface Images in Drilled Unidirectional Carbon Fiber Reinforced Polymer Sheets Using Convolutional Autoencoder and Multi-Layer Perceptron Decoder.

Autori: Kurniawan, Eddy Hur, Yong Chan Kim, Ji Hoon

Zdroj: Fibers & Polymers; Dec2025, Vol. 26 Issue 12, p5647-5660, 14p

Domain-Adaptive Direction of Arrival (DOA) Estimation in Complex Indoor Environments Based on Convolutional Autoencoder and Transfer Learning.

Autori: Shen, Lingyu Li, Jianfeng Pan, Jingjing a ďalší

Zdroj: Sensors (14248220); May2025, Vol. 25 Issue 10, p2959, 24p

Predmety: AUTOENCODERS, DEEP learning, FEATURE extraction, SMART homes, WIRELESS communications

Slim multi-scale convolutional autoencoder-based reduced-order models for interpretable features of a complex dynamical system.

Autori: Teutsch, Philipp Pfeffer, Philipp Sharifi Ghazijahani, Mohammad a ďalší

Zdroj: APL Machine Learning; Mar2025, Vol. 3 Issue 1, p1-15, 15p

Predmety: PROPER orthogonal decomposition, REDUCED-order models, DYNAMICAL systems, FLUID flow, PRIOR learning, DEEP learning

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

Autori: Jafari, Zahra Sharifzadeh Seyedin, Sanaz

Zdroj: AUT Journal of Electrical Engineering; 2024, Vol. 56 Issue 2, p213-226, 14p

Predmety: EMOTION recognition, TRANSFORMER models, DEEP learning, SPEECH, EMOTIONS

Motor Fault Diagnosis and Detection with Convolutional Autoencoder (CAE) Based on Analysis of Electrical Energy Data.

Autori: Choi, YuRim Joe, Inwhee

Zdroj: Electronics (2079-9292); Oct2024, Vol. 13 Issue 19, p3946, 29p

Predmety: ARTIFICIAL neural networks, REAL-time computing, ELECTRIC faults, FAULT diagnosis, SYSTEM analysis, ELECTRIC motors

Surrogate Modeling of Hydrogen-Enriched Combustion Using Autoencoder-Based Dimensionality Reduction.

Autori: Zhang, Lanfei Chu, Xu Ding, Siyu a ďalší

Zdroj: Processes; Apr2025, Vol. 13 Issue 4, p1093, 21p

Predmety: AUTOENCODERS, JET nozzles, ENGINEERING design, FLUID flow, SPATIAL resolution, DEEP learning