Výsledky vyhledávání - sparse convolutional autoencoder ((same 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

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

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

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

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)

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

Deep spectral unmixing framework via 3D denoising convolutional autoencoder.

Autoři: Jia, Peiyuan Zhang, Miao Shen, Yi

Zdroj: IET Image Processing (Wiley-Blackwell); May2021, Vol. 15 Issue 7, p1399-1409, 11p

Témata: HYPERSPECTRAL imaging systems, IMAGE denoising, IMAGE processing, PIXELS, GEOMETRIC analysis, DATA

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

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

Autoři: Wataru Obayashi Hikaru Aono Tomoaki Tatsukawa a další

Zdroj: AIP Advances, Vol 11, Iss 10, Pp 105211-105211-6 (2021)

Témata: Physics, QC1-999

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2158-3226

Přístupová URL adresa: https://doaj.org/article/7d4dc31e6e08442fba36ddd862379ce8

Human Activity Recognition Using Convolutional Autoencoder and Advanced Preprocessing.

Autoři: Zaoui, Chaimae Benabbou, Faouzia Ettaoufik, Abdelaziz a další

Zdroj: International Journal of Online & Biomedical Engineering; 2024, Vol. 20 Issue 4, p144-159, 16p

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 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

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

A 3D Sparse Autoencoder for Fully Automated Quality Control of Affine Registrations in Big Data Brain MRI Studies.

Autoři: Thadikemalla, Venkata Sainath Gupta Focke, Niels K. Tummala, Sudhakar

Zdroj: Journal of Digital Imaging; Feb2024, Vol. 37 Issue 1, p412-427, 16p

Témata: RECEIVER operating characteristic curves, MAGNETIC resonance imaging, QUALITY control, DATA analytics, DESCRIPTIVE statistics, DIAGNOSIS of brain abnormalities

A Novel Convolutional Autoencoder-Based Clutter Removal Method for Buried Threat Detection in Ground-Penetrating Radar.

Autoři: Temlioglu, Eyyup Erer, Isin

Zdroj: IEEE Transactions on Geoscience & Remote Sensing. Jan2022, Vol. 60 Issue 1, p1-13. 13p.

Témata: GROUND penetrating radar, MATRIX decomposition, NONNEGATIVE matrices, SPARSE matrices, IMAGE reconstruction, NOISE control

Sparse autoencoder for unsupervised nucleus detection and representation in histopathology images.

Autoři: Hou, Le Nguyen, Vu Kanevsky, Ariel B. a další

Zdroj: Pattern Recognition. Feb2019, Vol. 86, p188-200. 13p.

Témata: *FEATURE extraction, *IMAGE processing, *HISTOPATHOLOGY, *TISSUE engineering, *MACHINE learning

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

Multi-scale asynchronous correlation and 2D convolutional autoencoder for adolescent health risk prediction with limited fMRI data.

Autoři: Di Gao Guanghao Yang Jiarun Shen a další

Zdroj: Frontiers in Computational Neuroscience; 2024, p01-12, 12p

Témata: HEALTH risk assessment, FUNCTIONAL magnetic resonance imaging, VALUE engineering, EXTRACTION techniques, DATA mining

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

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

Autoři: Yang, Yifan Tang, Zihao Shao, Dong a další

Zdroj: Journal of Hydrology. Jun2025, Vol. 654, pN.PAG-N.PAG. 1p.

Témata: *AUTOENCODERS, *ACOUSTIC field, *MACHINE learning, *SPATIAL resolution, *DATA quality