Výsledky vyhľadávania - sparse convolutional autoencoder ((((same OR sae) OR sage) OR cae))

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

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

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)

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

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

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

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

Predmety: 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

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

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

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

Autori: An, Yanling Hu, Shaohai Duan, Xiaoying a ďalší

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

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

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

Autori: Sun, Yanan Xue, Bing Zhang, Mengjie a ďalší

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

Predmety: PARTICLE swarm optimization, CLASSIFICATION, COMPUTER architecture

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.

Autori: 马良玉 黄日灏 段晓冲 a ďalší

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.

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

Deep spectral unmixing framework via 3D denoising convolutional autoencoder.

Autori: Jia, Peiyuan Zhang, Miao Shen, Yi

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

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

Human Activity Recognition Using Convolutional Autoencoder and Advanced Preprocessing.

Autori: Zaoui, Chaimae Benabbou, Faouzia Ettaoufik, Abdelaziz a ďalší

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

Application of Artificial Intelligence Technologies as an Intervention for Promoting Healthy Eating and Nutrition in Older Adults: A Systematic Literature Review.

Autori: Kalu, Kingsley Ataguba, Grace Onifade, Oyepeju a ďalší

Zdroj: Nutrients. Oct2025, Vol. 17 Issue 20, p3223. 33p.

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

Autori: Wataru Obayashi Hikaru Aono Tomoaki Tatsukawa a ďalší

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

Predmety: Physics, QC1-999

Popis súboru: electronic resource

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

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

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

Autori: Obayashi, Wataru Aono, Hikaru Tatsukawa, Tomoaki a ďalší

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

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

Lameness detection in dairy cows from overhead view: high-precision keypoint localization and multi-feature fusion classification.

Autori: Duan, Weijun Wang, Fang Li, Honghui a ďalší

Zdroj: Frontiers in Veterinary Science. 2025, p1-19. 19p.

Automated Video-EEG Analysis in Epilepsy Studies: A Narrative Review of Advances and Challenges.

Autori: Zuev VA Salmagambetova EG Djakov SN a ďalší

Zdroj: Journal of medical systems [J Med Syst] 2025 Oct 20; Vol. 49 (1), pp. 142. Date of Electronic Publication: 2025 Oct 20.

Spôsob vydávania: Journal Article; Review

Informácie o časopise: Publisher: Kluwer Academic/Plenum Publishers Country of Publication: United States NLM ID: 7806056 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-689X (Electronic) Linking ISSN: 01485598 NLM ISO Abbreviation: J Med Syst Subsets: MEDLINE

Výrazy zo slovníka MeSH: Electroencephalography*/methods , Epilepsy*/diagnosis , Epilepsy*/physiopathology , Video Recording*/methods, Humans ; Machine Learning

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

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

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

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

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

Autori: Di Gao Guanghao Yang Jiarun Shen a ďalší

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

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

Image reconstruction under visual disruption caused by rain

Autori: Tang, Lai Meng

Predmety: QA75 Electronic computers. Computer science

Prístupová URL adresa: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.838754