Výsledky vyhledávání - stacked sparse autoencoder–based deep neural network*

Construction of a Sensitive and Speed Invariant Gearbox Fault Diagnosis Model Using an Incorporated Utilizing Adaptive Noise Control and a Stacked Sparse Autoencoder-Based Deep Neural Network

Autoři: Cong Dai Nguyen Alexander E. Prosvirin Cheol Hong Kim a další

Zdroj: Sensors, Vol 21, Iss 1, p 18 (2020)

Témata: adaptive noise reducer, Gaussian reference signal, gearbox fault diagnosis, stacked sparse autoencoder–based deep neural network, varying rotational speed, Chemical technology, TP1-1185

Popis souboru: electronic resource

Relation: https://www.mdpi.com/1424-8220/21/1/18; https://doaj.org/toc/1424-8220

Přístupová URL adresa: https://doaj.org/article/0655be0ec3ba4534af97edb245871774

Reliable Fault Diagnosis of Rotary Machine Bearings Using a Stacked Sparse Autoencoder‐Based Deep Neural Network

Autoři: Muhammad Sohaib Jong-Myon Kim

Zdroj: Shock and Vibration, Vol 2018 (2018)

Témata: Physics, QC1-999, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Popis souboru: text/xhtml

Přístupová URL adresa: http://downloads.hindawi.com/journals/sv/2018/2919637.pdf
https://doaj.org/article/522d93384ff848a29088a01c8193d071
https://downloads.hindawi.com/journals/sv/2018/2919637.pdf
https://paperity.org/p/129818144/reliable-fault-diagnosis-of-rotary-machine-bearings-using-a-stacked-sparse-autoencoder
https://www.hindawi.com/journals/sv/2018/2919637/
https://core.ac.uk/display/158441758
http://downloads.hindawi.com/journals/sv/2018/2919637.pdf

Combustion stability monitoring through flame imaging and stacked sparse autoencoder based deep neural network

Autoři: Jian Li Yuwei Wang Md. Moinul Hossain a další

Přispěvatelé: Jian Li Yuwei Wang Md. Moinul Hossain a další

Zdroj: Applied Energy. 259:114159

Témata: 13. Climate action, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Popis souboru: application/pdf

Přístupová URL adresa: https://kar.kent.ac.uk/79003/
https://ideas.repec.org/a/eee/appene/v259y2020ics030626191931846x.html
https://pubag.nal.usda.gov/catalog/6761807
https://www.sciencedirect.com/science/article/pii/S030626191931846X

A sparse autoencoder-based deep neural network for protein solvent accessibility and contact number prediction

Autoři: Lei Deng Chao Fan Zhiwen Zeng

Zdroj: BMC Bioinformatics, Vol 18, Iss S16, Pp 211-220 (2017)

Témata: Solvent accessibility, Contact number, Deep neural network, Sequence-derived features, Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5

Popis souboru: electronic resource

Relation: http://link.springer.com/article/10.1186/s12859-017-1971-7; https://doaj.org/toc/1471-2105

Přístupová URL adresa: https://doaj.org/article/620c0d19f61441e3afb8b3704ee064a3

Induction motors fault diagnosis using a stacked sparse auto-encoder deep neural network.

Autoři: Jorkesh, Saeid Gholaminejad, Azadeh Poshtan, Javad

Zdroj: Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems & Control Engineering; Feb2023, Vol. 237 Issue 2, p359-369, 11p

Reliable Fault Diagnosis of Rotary Machine Bearings Using a Stacked Sparse Autoencoder-Based Deep Neural Network.

Autoři: Sohaib, Muhammad Kim, Jong-Myon

Zdroj: Shock & Vibration; 5/7/2018, p1-11, 11p

Témata: ROTARY combustion engines, FAULT diagnosis, NEURAL circuitry, COST effectiveness, ALGORITHMS

A Comprehensive Review on Deep Learning Techniques in Alzheimer's Disease Diagnosis.

Autoři: Mahavar A Patel A

Zdroj: Current topics in medicinal chemistry [Curr Top Med Chem] 2025; Vol. 25 (4), pp. 335-349.

Způsob vydávání: Journal Article; Review

Informace o časopise: Publisher: Bentham Science Publishers Country of Publication: United Arab Emirates NLM ID: 101119673 Publication Model: Print Cited Medium: Internet ISSN: 1873-4294 (Electronic) Linking ISSN: 15680266 NLM ISO Abbreviation: Curr Top Med Chem Subsets: MEDLINE

Výrazy ze slovníku MeSH: Alzheimer Disease*/diagnosis , Deep Learning*, Humans ; Biomarkers/analysis ; Neural Networks, Computer

Industrial Internet of Things Cyber Threats Detection Through Deep Feature Learning and Stacked Sparse Autoencoder Based Classification

Autoři: Vijay Anand, R. Magesh, G. Alagiri, I. a další

Zdroj: Transactions on Emerging Telecommunications Technologies ; volume 36, issue 9 ; ISSN 2161-3915 2161-3915

Dostupnost: https://doi.org/10.1002/ett.70224
https://onlinelibrary.wiley.com/doi/pdf/10.1002/ett.70224

A Hybrid Ensemble Learning Framework for Predicting Lumbar Disc Herniation Recurrence: Integrating Supervised Models, Anomaly Detection, and Threshold Optimization.

Autoři: Duceac, Mădălina Buzea, Călin Gheorghe Pleșea-Condratovici, Alina a další

Zdroj: Diagnostics (2075-4418); Jul2025, Vol. 15 Issue 13, p1628, 40p

Témata: ARTIFICIAL neural networks, ENSEMBLE learning, CLINICAL decision support systems, AUTOENCODERS, BLENDED learning

Intrusion Detection Method Based on Stacked Sparse Autoencoder and Sliced GRU for Connected Healthcare Systems.

Autoři: Gu, Zhaoyang Wang, Liangliang Li, Jinguo a další

Zdroj: Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ); Feb2023, Vol. 48 Issue 2, p2061-2074, 14p

Témata: INTRUSION detection systems (Computer security), RECURRENT neural networks, CYBERTERRORISM, COVARIANCE matrices

A Novel Deep Neural Network-Based Framework for Subsurface Analysis in Non-Stationary Thermal Wave Imaging.

Autoři: Swapna, M. N. Suman, M. Prasanthi, Y. N. a další

Zdroj: Sensing & Imaging; 9/5/2025, Vol. 26 Issue 1, p1-18, 18p

A deep neural network classifier for P300 BCI speller based on Cohen's class time-frequency distribution.

Autoři: GHAZIKHANI, Hamed ROUHANI, Modjtaba

Zdroj: Turkish Journal of Electrical Engineering & Computer Sciences; 2021, Vol. 29 Issue 2, p1226-1240, 15p

Témata: DEEP learning, PATTERN recognition systems, BRAIN-computer interfaces, ELECTROENCEPHALOGRAPHY, EVOKED potentials (Electrophysiology)

ASD-SAENet: A Sparse Autoencoder, and Deep-Neural Network Model for Detecting Autism Spectrum Disorder (ASD) Using fMRI Data.

Autoři: Almuqhim, Fahad Saeed, Fahad

Zdroj: Frontiers in Computational Neuroscience; 4/8/2021, Vol. 15, pN.PAG-N.PAG, 10p

Témata: AUTISM spectrum disorders, FUNCTIONAL magnetic resonance imaging, BRAIN imaging, NEURAL development, FEATURE extraction

Construction of a Sensitive and Speed Invariant Gearbox Fault Diagnosis Model Using an Incorporated Utilizing Adaptive Noise Control and a Stacked Sparse Autoencoder-Based Deep Neural Network.

Autoři: Nguyen, Cong Dai Prosvirin, Alexander E. Kim, Cheol Hong a další

Zdroj: Sensors (14248220); Jan2021, Vol. 21 Issue 1, p18, 1p

Témata: FAULT diagnosis, NOISE control, ADAPTIVE control systems, GEARBOXES, NATURAL language processing

Deep Neural Networks for Prediction of Cardiovascualr Diseases.

Autoři: Aslam, Muhammad Aqeel Munir, Muhammad Asif Ahmad, Rauf a další

Zdroj: Nano Biomedicine & Engineering; 2022, Vol. 14 Issue 1, p81-89, 9p

Témata: ARTIFICIAL neural networks, FORECASTING

TTMRI: Multislice texture transformer network for undersampled MRI reconstruction.

Autoři: Zhang, Xiaozhi Zhou, Liu Wan, Yaping a další

Zdroj: IET Image Processing (Wiley-Blackwell); Jun2024, Vol. 18 Issue 8, p2126-2143, 18p

Témata: ARTIFICIAL neural networks, TRANSFORMER models, CONVOLUTIONAL neural networks, FEATURE extraction, MAGNETIC resonance imaging, 5G networks

Deep Neural Networks and Data for Automated Driving : Robustness, Uncertainty Quantification, and Insights Towards Safety

Autoři: Tim Fingscheidt Hanno Gottschalk Sebastian Houben

Resource Type: eBook.

Témata: Vehicular ad hoc networks (Computer networks), Automated vehicles, Neural networks (Computer science)

Categories: TECHNOLOGY & ENGINEERING / Automotive, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Data Science / General, MATHEMATICS / Applied, TECHNOLOGY & ENGINEERING / Engineering (General)

Underwater target classification at greater depths using deep neural network with joint multiple‐domain feature.

Autoři: Cao, Xu Zhang, Xiaomin Togneri, Roberto a další

Zdroj: IET Radar, Sonar & Navigation (Wiley-Blackwell); Mar2019, Vol. 13 Issue 3, p484-491, 8p

Témata: ARTIFICIAL neural networks, ACOUSTIC signal processing, IMAGE recognition (Computer vision), ARTIFICIAL intelligence, AUTOENCODERS, ACOUSTIC emission testing

Multimodal Medical Image Fusion Using Stacked Auto-encoder in NSCT Domain.

Autoři: Tawfik, Nahed Elnemr, Heba A. Fakhr, Mahmoud a další

Zdroj: Journal of Digital Imaging; Oct2022, Vol. 35 Issue 5, p1308-1325, 18p, 4 Color Photographs, 6 Black and White Photographs, 5 Diagrams, 6 Charts

Témata: DIGITAL image processing, DEEP learning, MAGNETIC resonance imaging, DIAGNOSTIC imaging, COMPUTED tomography

Encoder–Decoder Convolutional Neural Networks for Flow Modeling in Unsaturated Porous Media: Forward and Inverse Approaches.

Autoři: Hajizadeh Javaran, Mohammad Reza Rajabi, Mohammad Mahdi Kamali, Nima a další

Zdroj: Water (20734441); Aug2023, Vol. 15 Issue 16, p2890, 17p

Témata: CONVOLUTIONAL neural networks, ARTIFICIAL neural networks, MONTE Carlo method, SOIL moisture, SAND, DRAINAGE, POROUS materials, HYGROTHERMOELASTICITY

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