Výsledky vyhledávání - "Sparse denoising autoencoder"

Harnessing feature pruning with optimal deep learning based DDoS cyberattack detection on IoT environment

Autoři: Eunmok Yang Sooyong Jeong Changho Seo

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

Témata: Cyberattack detection, Min–max scalar, Pelican optimization algorithm, Sparse denoising autoencoder, Fish migration optimizer, Medicine, Science

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/79e7a8faf92c4bf9b569dbce69c191ff

Self-Supervised Marine Noise Learning with Sparse Autoencoder Network for Generative Target Magnetic Anomaly Detection

Autoři: Shigang Wang Xiangyuan Zhang Yifan Zhao a další

Zdroj: Remote Sensing, Vol 16, Iss 17, p 3263 (2024)

Témata: magnetic anomaly detection (MAD), marine noise modeling, self-supervised learning (SSL), sparse denoising autoencoder (SDAE), Science

Relation: https://www.mdpi.com/2072-4292/16/17/3263; https://doaj.org/toc/2072-4292; https://doaj.org/article/9ea907301efc4761bbfcc2d89a02d1ac

Dostupnost: https://doi.org/10.3390/rs16173263
https://doaj.org/article/9ea907301efc4761bbfcc2d89a02d1ac

RETRACTED: A Novel Day- ahead Electricity Price Forecasting Using multi-modal combined Integration via Stacked Pruning Sparse Denoising Auto Encoder

Autoři: Leiming Li Sara Saeedi Bingquan Liu a další

Zdroj: Energy Reports, Vol 7, Iss, Pp 2201-2213 (2021)

Témata: Electricity Price Forecasting, Sufficient Dimension Reduction, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Deep Neural Network, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, Stacked pruning sparse denoising autoencoder, Maximum Separation Subspace, 7. Clean energy, Tensor Canonical Correlation Analysis, TK1-9971

Přístupová URL adresa: https://doaj.org/article/3b490787f5db41ffbe39b973c6cbc800
https://www.sciencedirect.com/science/article/abs/pii/S2352484721002249
https://www.sciencedirect.com/science/article/pii/S2352484721002249

Intelligent Fault Diagnosis Method for Blade Damage of Quad-Rotor UAV Based on Stacked Pruning Sparse Denoising Autoencoder and Convolutional Neural Network

Autoři: Pu Yang Chenwan Wen Huilin Geng a další

Zdroj: Machines, Vol 9, Iss 360, p 360 (2021)

Témata: intelligent fault diagnosis, stacked pruning sparse denoising autoencoder, convolutional neural network, anti-noise, Mechanical engineering and machinery, TJ1-1570

Relation: https://www.mdpi.com/2075-1702/9/12/360; https://doaj.org/toc/2075-1702; https://doaj.org/article/57fd1ddf636d4ff7816cfd2cd17bcfcf

Dostupnost: https://doi.org/10.3390/machines9120360
https://doaj.org/article/57fd1ddf636d4ff7816cfd2cd17bcfcf

The optimally designed autoencoder network for compressed sensing

Autoři: Zufan Zhang Yunfeng Wu Chenquan Gan a další

Zdroj: EURASIP Journal on Image and Video Processing, Vol 2019, Iss 1, Pp 1-12 (2019)

Témata: Compressed sensing, Stacked sparse denoising autoencoder, Deep learning, Multiple nonlinear measurement, Signal reconstruction, Electronics, TK7800-8360

Popis souboru: electronic resource

Relation: http://link.springer.com/article/10.1186/s13640-019-0460-5; https://doaj.org/toc/1687-5281

Přístupová URL adresa: https://doaj.org/article/8a403d77e24e4e6189172e0d05faf8f3

Fault Diagnosis of Rolling Bearing Based on Multiscale Intrinsic Mode Function Permutation Entropy and a Stacked Sparse Denoising Autoencoder

Autoři: Juying Dai Jian Tang Faming Shao a další

Zdroj: Applied Sciences, Vol 9, Iss 13, p 2743 (2019)

Témata: IMFs, multiscale permutation entropy, stacked sparse denoising autoencoder, fault diagnosis, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/9/13/2743; https://doaj.org/toc/2076-3417; https://doaj.org/article/513f8bf811eb491dab82fad9ce1ea4c2

Dostupnost: https://doi.org/10.3390/app9132743
https://doaj.org/article/513f8bf811eb491dab82fad9ce1ea4c2

Deep Learning-Based Machinery Fault Diagnostics

Přispěvatelé: Chen, Hongtian Zhong, Kai Ran, Guangtao a další

Témata: process monitoring, dynamics, variable time lag, dynamic autoregressive latent variables model, sintering process, hammerstein output-error systems, auxiliary model, multi-innovation identification theory, fractional-order calculus theory, canonical variate analysis, disturbance detection, power transmission system, k-nearest neighbor analysis, statistical local analysis, intelligent fault diagnosis, stacked pruning sparse denoising autoencoder, convolutional neural network, anti-noise, flywheel fault diagnosis, belief rule base, fuzzy fault tree analysis, Bayesian network, evidential reasoning, aluminum reduction process, alumina concentration, subspace identification, distributed predictive control, spatiotemporal feature fusion, gated recurrent unit, attention mechanism

Popis souboru: application/octet-stream

Relation: ONIX_20221025_9783036551739_23; https://mdpi.com/books/pdfview/book/6065

Dostupnost: https://directory.doabooks.org/handle/20.500.12854/93169
https://hdl.handle.net/20.500.12854/93169
https://mdpi.com/books/pdfview/book/6065