Výsledky vyhledávání - "stacked autoencoder SAE"

Performance Evaluation of Support Vector Machine and Stacked Autoencoder for Hyperspectral Image Analysis

Autoři: Brahim Jabir Bendaoud Nadif Isabel De la Torre Díez a další

Zdroj: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 16429-16444 (2025)

Témata: Ocean engineering, remote sensing, Active learning, QC801-809, hyperspectral data classification, Geophysics. Cosmic physics, deep learning, support vector machine (SVM), TC1501-1800, stacked autoencoder (SAE)

Přístupová URL adresa: https://doaj.org/article/5602b4c04aa6495993f0a42a57ad9363

Stressed Vegetation Identification Under Natural Gas Microleakage From Hyperspectral Images Using Stacked Autoencoder and Multiscale Three-Dimensional Convolutional Neural Network

Autoři: Kangni Xiong Jinbao Jiang Weiwei Ran a další

Zdroj: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 16334-16346 (2025)

Témata: natural gas microleakage, Ocean engineering, hyperspectral imagery, vegetation stress, QC801-809, Geophysics. Cosmic physics, Convolution neural network, TC1501-1800, stacked autoencoder (SAE)

Přístupová URL adresa: https://doaj.org/article/7663de844d86404e971d9788f0b8a659

Stacked encoding and AutoML-based identification of lead–zinc small open pit active mines around Rampura Agucha in Rajasthan state, India

Autoři: Abhishek Kumar Ojha Raja Biswas Akhouri Pramod Krishna

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-20 (2025)

Témata: Automated machine learning (AutoML), Stacked autoencoder (SAE), Extra tree classifier (et), Light gradient boosting machine (lightgbm), Random forest classifier (rf), Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Přístupová URL adresa: https://doaj.org/article/5810a8a5c34f405c842f6ed2a02ba34e

Deep Cascade Gradient RBF Networks With Output-Relevant Feature Extraction and Adaptation for Nonlinear and Nonstationary Processes

Autoři: Tong Liu Zeyue Tian Sheng Chen a další

Zdroj: IEEE Transactions on Cybernetics. 53:4908-4922

Témata: Output-relevant features, Gradient radial basis function (GRBF) network, Data models, Adaptation models, Computational modeling, Deep learning, 02 engineering and technology, Radial basis function networks, Adaptive systems, Predictive models, Online adaptation, High-dimensional and nonstationary processes, Stacked autoencoder (SAE), 0202 electrical engineering, electronic engineering, information engineering, Feature extraction

Popis souboru: text

Přístupová URL adresa: https://eprints.soton.ac.uk/454982/1/DGRBFlv_re3.pdf
https://pubmed.ncbi.nlm.nih.gov/35239499
https://eprints.soton.ac.uk/454982/

Rock mass quality classification based on deep learning: A feasibility study for stacked autoencoders

Autoři: Danjie Sheng Jin Yu Fei Tan a další

Zdroj: Journal of Rock Mechanics and Geotechnical Engineering, Vol 15, Iss 7, Pp 1749-1758 (2023)

Témata: Stacked autoencoder (SAE), Back propagation algorithm, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, TA703-712, Deep learning, Engineering geology. Rock mechanics. Soil mechanics. Underground construction, 02 engineering and technology, Rock mass quality classification, 01 natural sciences, 0105 earth and related environmental sciences

Přístupová URL adresa: https://doaj.org/article/6478b6bd19cd457cbec576a0d6ea39b8

Generalized Zero-Shot Domain Adaptation for Unsupervised Cross-Domain PolSAR Image Classification

Autoři: Rong Gui Xin Xu Rui Yang a další

Zdroj: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 270-283 (2022)

Témata: unsupervised domain adaptation (uDA), QC801-809, Geophysics. Cosmic physics, 0211 other engineering and technologies, Generalized zero-shot learning (GZSL), 02 engineering and technology, 15. Life on land, 01 natural sciences, polarimetric synthetic aperture radar (PolSAR) image, scattering component semantics (SCS), Ocean engineering, TC1501-1800, stacked autoencoder (SAE), 0105 earth and related environmental sciences

Přístupová URL adresa: https://ieeexplore.ieee.org/ielx7/4609443/4609444/09647973.pdf
https://doaj.org/article/10fdb577de704dd486100af3ff4ec890

Detection of sea‐surface target of coastal defense radar based on Stacked Autoencoder (SAE) algorithm

Autoři: He Yan Chao Chen Guodong Jin a další

Zdroj: IET Radar, Sonar & Navigation, Vol 16, Iss 2, Pp 291-305 (2022)

Témata: Stacked Autoencoder (SAE), Cell Averaging Constant False Alarm Rate (CA‐CFAR), Telecommunication, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, TK5101-6720, 02 engineering and technology, 14. Life underwater, coastal defense radar system

Přístupová URL adresa: https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/rsn2.12183
https://doaj.org/article/c840ec18856c45ef96cb36851ea7fd36
https://ietresearch.onlinelibrary.wiley.com/doi/full/10.1049/rsn2.12183

Background Purification Framework With Extended Morphological Attribute Profile for Hyperspectral Anomaly Detection

Autoři: Ju Huang Kang Liu Mingliang Xu a další

Zdroj: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 8113-8124 (2021)

Témata: trening, hyperspectral imaging, Geophysics. Cosmic physics, 0211 other engineering and technologies, sparse representation (SR), Anomaly detection, 02 engineering and technology, rekonstrukcija slik, optika, hyperspectral image (HSI), spektralna analiza, 0202 electrical engineering, electronic engineering, information engineering, stacked autoencoder, background purification, sparse representation, TC1501-1800, detectors, dictionaries, training, QC801-809, extended attribute profile (EAP), image reconstruction, extended attribute profile, anomaly detection, optics, detektorji, Ocean engineering, zaznavanje anomalij, slovarji, stacked autoencoder (SAE)

Popis souboru: application/pdf; text/url

Přístupová URL adresa: https://ieeexplore.ieee.org/ielx7/4609443/4609444/09511250.pdf
https://doaj.org/article/75cf6c9d8cad45d0b85987f1ed765ec9
http://ui.adsabs.harvard.edu/abs/2021IJSTA..14.8113H/abstract
https://dblp.uni-trier.de/db/journals/staeors/staeors14.html#HuangLXPL21

Target Detection in Clutter/Interference Regions Based on Deep Feature Fusion for HFSWR

Autoři: Maokai Wu Ling Zhang Jiong Niu a další

Zdroj: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 5581-5595 (2021)

Témata: Convolutional neural network (CNN), extremum detection, feature fusion, high-frequency surface wave radar (HFSWR), stacked autoencoder (SAE), target detection, Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/9436001/; https://doaj.org/toc/2151-1535

Přístupová URL adresa: https://doaj.org/article/fdddac9749c14e7eaa07c932fa7e035b

A Fault Identification Method for Metal Oxide Arresters Combining Suppression of Environmental Temperature and Humidity Interference with a Stacked Autoencoder

Autoři: Shengwen Shu Xiaoyao Zhang Guobin Wang a další

Zdroj: Energies, Vol 16, Iss 24, p 8033 (2023)

Témata: metal oxide arrester (MOA), fault identification, environmental temperature and humidity, interference suppression, stacked autoencoder (SAE), Technology

Relation: https://www.mdpi.com/1996-1073/16/24/8033; https://doaj.org/toc/1996-1073; https://doaj.org/article/889099d062104a7b8024ca67e2dba73e

Dostupnost: https://doi.org/10.3390/en16248033
https://doaj.org/article/889099d062104a7b8024ca67e2dba73e

Sensing OFDM Signal: A Deep Learning Approach

Autoři: Qingqing Cheng Zhenguo Shi Diep N. Nguyen a další

Zdroj: IEEE Transactions on Communications. 67:7785-7798

Témata: Spectrum sensing, stacked autoencoder SAE, 0202 electrical engineering, electronic engineering, information engineering, deep learning, 02 engineering and technology, OFDM

Přístupová URL adresa: https://opus.lib.uts.edu.au/handle/10453/140061
https://opus.cloud.lib.uts.edu.au/handle/10453/140061
https://ieeexplore.ieee.org/document/8827563
https://dblp.uni-trier.de/db/journals/tcom/tcom67.html#ChengSND19

Analysis of AI-Based Single-View 3D Reconstruction Methods for an Industrial Application

Autoři: Julia Hartung Patricia M. Dold Andreas Jahn a další

Zdroj: Sensors, Vol 22, Iss 6425, p 6425 (2022)

Témata: three-dimensional reconstruction, single view, stacked autoencoder (SAE), generative adversarial network (GAN), U-Net, stacked dilated U-Net (SDU-Net), Chemical technology, TP1-1185

Relation: https://www.mdpi.com/1424-8220/22/17/6425; https://doaj.org/toc/1424-8220; https://doaj.org/article/a133fba263a443f3a127321736bd6c75

Dostupnost: https://doi.org/10.3390/s22176425
https://doaj.org/article/a133fba263a443f3a127321736bd6c75

Health Indicators Construction and Remaining Useful Life Estimation for Concrete Structures Using Deep Neural Networks

Autoři: Viet Tra Tuan-Khai Nguyen Cheol-Hong Kim a další

Zdroj: Applied Sciences, Vol 11, Iss 4113, p 4113 (2021)

Témata: concrete structures, remaining useful life (RUL), stacked autoencoder (SAE), deep neural network (DNN), long short-term memory (LSTM), Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/11/9/4113; https://doaj.org/toc/2076-3417; https://doaj.org/article/0e169cac49f442dda9b2f51013750bb9

Dostupnost: https://doi.org/10.3390/app11094113
https://doaj.org/article/0e169cac49f442dda9b2f51013750bb9

Hyperspectral Image Classification for Remote Sensing

Autoři: Madani, Hadis

Zdroj: Electronic Thesis and Dissertation Repository

Témata: neural network (NN), Remote sensing, distance transform, machine learning, spectral-spatial features, hyperspectral image (HSI) classification, Other Electrical and Computer Engineering, extended multi-attribute profile (EMAP), supervised dimensionality reduction, stacked autoencoder (SAE), data augmentation

Popis souboru: application/pdf

Přístupová URL adresa: https://ir.lib.uwo.ca/etd/6940

SAR Target Recognition with Feature Fusion Based on Stacked Autoencoder

Autoři: Kang Miao Ji Kefeng Leng Xiangguang a další

Zdroj: Leida xuebao, Vol 6, Iss 2, Pp 167-176 (2017)

Témata: Synthetic Aperture Rader (SAR), Target recognition, Feature fusion, Stacked AutoEncoder (SAE), Moving and Stationary Target Acquisition and Recognition (MSTAR), Electricity and magnetism, QC501-766

Popis souboru: electronic resource

Relation: http://radars.ie.ac.cn/CN/html/R16112.htm; https://doaj.org/toc/2095-283X

Přístupová URL adresa: https://doaj.org/article/c3e47e9fb46a4e05a4a4638a5a0ef2a0

Soft Sensor Modeling Method by Maximizing Output-Related Variable Characteristics Based on a Stacked Autoencoder and Maximal Information Coefficients

Autoři: Yanzhen Wang Xuefeng Yan

Zdroj: International Journal of Computational Intelligence Systems, Vol 12, Iss 2 (2019)

Témata: Soft sensor, Deep learning, Stacked autoencoder (SAE), Maximal information coefficient (MIC), Modeling method, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://www.atlantis-press.com/article/125917186/view; https://doaj.org/toc/1875-6883

Přístupová URL adresa: https://doaj.org/article/539bb6067c8a42dcb2fc328ac25b6d2f

A Hybrid Autoencoder Network for Unsupervised Image Clustering

Autoři: Pei-Yin Chen Jih-Jeng Huang

Zdroj: Algorithms, Vol 12, Iss 6, p 122 (2019)

Témata: image clustering, convolutional autoencoder (CAE), adversarial autoencoder (AAE), stacked autoencoder (SAE), Industrial engineering. Management engineering, T55.4-60.8, Electronic computers. Computer science, QA75.5-76.95

Relation: https://www.mdpi.com/1999-4893/12/6/122; https://doaj.org/toc/1999-4893; https://doaj.org/article/caae9c3398a34723a735c3518ada5b7f

Dostupnost: https://doi.org/10.3390/a12060122
https://doaj.org/article/caae9c3398a34723a735c3518ada5b7f

SAE-based Encrypted Traffic Identification Method

Autoři: WANG Pan,CHEN Xuejiao

Zdroj: Jisuanji gongcheng, Vol 44, Iss 11, Pp 140-147,153 (2018)

Témata: encrypted traffic identification, deep learning, stacked autoencoder (sae), traffic classification, multilayer perceptron (mlp), convolutional neural network (cnn), Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

Popis souboru: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/1811140.pdf; https://doaj.org/toc/1000-3428

Přístupová URL adresa: https://doaj.org/article/b504b2d72d124e95838787e5382660b7

A deep evaluator for image retargeting quality by geometrical and contextual interaction

Autoři: Bin Jiang Jiachen Yang Qinggang Meng a další

Témata: Artificial intelligence not elsewhere classified, Other information and computing sciences not elsewhere classified, Content match, Geometrical shape, Image retargeting quality assessment, Perception simulation, Segmented stacked AutoEnCoder (SAE), Artificial Intelligence and Image Processing, Information and Computing Sciences not elsewhere classified

Relation: 2134/34780; https://figshare.com/articles/journal_contribution/A_deep_evaluator_for_image_retargeting_quality_by_geometrical_and_contextual_interaction/9401528

Dostupnost: https://figshare.com/articles/journal_contribution/A_deep_evaluator_for_image_retargeting_quality_by_geometrical_and_contextual_interaction/9401528

Enhancing the Visibility of Delamination during Pulsed Thermography of Carbon Fiber-Reinforced Plates Using a Stacked Autoencoder

Autoři: Changhang Xu Jing Xie Changwei Wu a další

Zdroj: Sensors, Vol 18, Iss 9, p 2809 (2018)

Témata: stacked autoencoder (SAE), pulsed thermography (PE), delamination detection, carbon fiber-reinforced polymer, Chemical technology, TP1-1185

Relation: http://www.mdpi.com/1424-8220/18/9/2809; https://doaj.org/toc/1424-8220; https://doaj.org/article/b8595846943b4232be2adce69e9fff23

Dostupnost: https://doi.org/10.3390/s18092809
https://doaj.org/article/b8595846943b4232be2adce69e9fff23