Výsledky vyhledávání - sparse convolutional autoencoder (((sace OR sage) OR cae))

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

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

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

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

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)

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

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

Zdroj: Physics of Fluids; Sep2025, Vol. 37 Issue 9, p1-15, 15p

Témata: FLUID dynamics, AUTOENCODERS, NONLINEAR mechanics, FLOW simulations, TURBULENT flow, METADATA, SPARSE approximations, NOISE control

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

Autoři: Liu, Yanming Liu, Jinglei

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

Témata: DATA augmentation, AUTOENCODERS

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

Autoři: Liu, Jiaqi Chui, Kwok Tai Lee, Lap-Kei a další

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

Témata: 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.

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

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

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

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

Autoři: Shen, Lingyu Li, Jianfeng Pan, Jingjing a další

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

Témata: 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.

Autoři: Teutsch, Philipp Pfeffer, Philipp Sharifi Ghazijahani, Mohammad a další

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

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

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

An efficient model for diabetic detection using heuristic approach based serial cascaded convolutional ensemble network.

Autoři: Bejugam, Santosh Kumar Vankara, Jyothi

Zdroj: Artificial Intelligence Review; Oct2025, Vol. 58 Issue 10, p1-43, 43p

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

Autoři: Zhang, Lanfei Chu, Xu Ding, Siyu a další

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

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

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

Autoři: Choi, YuRim Joe, Inwhee

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

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