Výsledky vyhledávání - Modified stacked denoising autoencoder

Stepwise inertial intelligent control for wind power frequency support based on modified stacked denoising autoencoder

Autoři: Tao Zhou Yalun Wang Hao Quan a další

Zdroj: Energy Reports, Vol 8, Iss, Pp 946-957 (2022)

Témata: Secondary frequency drop, Stepwise inertial control, Adamax optimization, Sparrow search algorithm, Modified stacked denoising autoencoder, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, 7. Clean energy, TK1-9971

Přístupová URL adresa: https://doaj.org/article/e2213d1e01814cd191a81dbf57319281

Sediment Classification of Acoustic Backscatter Image Based on Stacked Denoising Autoencoder and Modified Extreme Learning Machine

Autoři: Ping Zhou Gang Chen Mingwei Wang a další

Zdroj: Remote Sensing, Vol 12, Iss 22, p 3762 (2020)

Témata: sediment classification, acoustic backscatter image, stacked denoising auto encoder, extreme learning machine, Parzen window, particle swarm optimization, Science

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2072-4292/12/22/3762; https://doaj.org/toc/2072-4292

Přístupová URL adresa: https://doaj.org/article/ebf6cc1095aa4a4680ea7f7335bdeeb3

Intelligent Detection of Railway Axles Fatigue Crack Using Acoustic Emission-Stacked Denoising Autoencoders.

Autoři: Lin, Li Zhao, Shuang Tang, Xiaowen a další

Zdroj: Journal of Nondestructive Evaluation; Dec2025, Vol. 44 Issue 4, p1-22, 22p

Témata: FATIGUE cracks, ACOUSTIC emission, DEEP learning, NONDESTRUCTIVE testing, DETECTION algorithms, FEATURE extraction, AXLES

Denoising Letter Images from Scanned Invoices Using Stacked Autoencoders.

Autoři: Alshathri, Samah Ibrahim Vincent, Desiree Juby Hari, V. S.

Zdroj: Computers, Materials & Continua; 2021, Vol. 71 Issue 1, p1371-1386, 16p

Témata: IMAGE denoising, SIGNAL-to-noise ratio, OPTICAL character recognition, DEEP learning, INVOICES

Probabilistic Stacked Denoising Autoencoder for Power System Transient Stability Prediction With Wind Farms.

Autoři: Su, Tong Liu, Youbo Zhao, Junbo a další

Zdroj: IEEE Transactions on Power Systems. Jul2021, Vol. 36 Issue 4, p3786-3789. 4p.

Témata: *ELECTRIC transients, *WIND power plants, *SIGNAL denoising, *INDUCTION generators, *FORECASTING

An Anomaly Detection Method for UAV Based on Wavelet Decomposition and Stacked Denoising Autoencoder.

Autoři: Zhou, Shenghan He, Zhao Chen, Xu a další

Zdroj: Aerospace (MDPI Publishing); May2024, Vol. 11 Issue 5, p393, 20p

Témata: INTRUSION detection systems (Computer security), DECOMPOSITION method, FEATURE extraction, DEEP learning, DRONE aircraft, DATA extraction

Denoising Autoencoder for Reconstructing Sensor Observation Data and Predicting Evapotranspiration: Noisy and Missing Values Repair and Uncertainty Quantification.

Autoři: Johnsen, Timothy K. Bi, Xiangyu Chou, Chunwei a další

Zdroj: Water Resources Research; Oct2025, Vol. 61 Issue 10, p1-23, 23p

Témata: EVAPOTRANSPIRATION, AUTOENCODER, STOCHASTIC analysis, MACHINE learning, HYDROLOGICAL forecasting, NOISE control, TELEMETRY

Deep learning for electrolysis process anode effect prediction based on long short-term memory network and stacked denoising autoencoder.

Autoři: Yin, Gang Li, Yi-Hui Yan, Fei-Ya a další

Zdroj: Rare Metals; Dec2024, Vol. 43 Issue 12, p6730-6741, 12p

Automatic fault diagnosis of rolling bearings under multiple working conditions based on unsupervised stack denoising autoencoder.

Autoři: Wang, Lei Rao, Hang Dong, Zhengcheng a další

Zdroj: Structural Health Monitoring; Sep2024, Vol. 23 Issue 5, p3084-3104, 21p

Témata: AUTOENCODERS, DEEP learning, ROLLER bearings, DIAGNOSIS, ALGORITHMS, FEATURE extraction

Heartbeat classification system based on modified stacked denoising autoencoders and neural networks

Autoři: Jiang, Chaoyan Song, Shuang Meng, Max Q.-H.

Zdroj: 2017 IEEE International Conference on Information and Automation (ICIA) ; page 511-516

Dostupnost: https://doi.org/10.1109/icinfa.2017.8078961
http://xplorestaging.ieee.org/ielx7/8055743/8078872/08078961.pdf?arnumber=8078961

PARKINSON'S DISEASE CLASSIFICATION BASED ON STACKED DENOISING AUTOENCODER.

Autoři: SUKANYA, P. RAO, B. SRINIVASA

Zdroj: Computer Science; 2023, Vol. 24 Issue 4, p491-512, 22p

Témata: NOSOLOGY, PARKINSON'S disease, BRAIN degeneration, NEUROLOGICAL disorders, DEEP brain stimulation, DATA augmentation

An Automatic Cardiac Arrhythmia Classification System With Wearable Electrocardiogram

Autoři: Yufa Xia Huailing Zhang Lin Xu a další

Zdroj: IEEE Access, Vol 6, Pp 16529-16538 (2018)

Témata: Stacked denoising autoencoder, wearable device, active learning, breaking-ties, modified breaking-ties, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/8300311/; https://doaj.org/toc/2169-3536

Přístupová URL adresa: https://doaj.org/article/d7f04b922c3b427eaddd5c946159ead2

Detecting network intrusions in cyber-physical systems using deep autoencoder-based dimensionality reduction approach and deep neural networks.

Autoři: Ibor, A. E. Egete, D. O. Otiko, A. O. a další

Zdroj: Journal of Nigerian Society of Physical Sciences; Aug2025, Vol. 7 Issue 3, p1-15, 15p

Témata: ARTIFICIAL neural networks, FEEDFORWARD neural networks, AUTOENCODER, CYBER physical systems, COMPUTER network traffic, DEEP learning

Segmentation‐enhanced gamma spectrum denoising based on deep learning.

Autoři: Lu, Xiangqun Zheng, Hongzhi Liu, Yaqiong a další

Zdroj: IET Communications (Wiley-Blackwell); Jan2024, Vol. 18 Issue 1, p63-80, 18p

Témata: DEEP learning, HILBERT-Huang transform, GAMMA-ray scattering, ELECTRONIC noise, FEATURE extraction

Reconstructing echoes completely submerged in background noise by a stacked denoising autoencoder method for low-power EMAT testing

Autoři: Zhou, Jinjie Yu, Dianrui Li, Xiang a další

Přispěvatelé: Zhou, Jinjie Yu, Dianrui Li, Xiang a další

Zdroj: Measurement Science and Technology ; volume 34, issue 12, page 125910 ; ISSN 0957-0233 1361-6501

Dostupnost: https://doi.org/10.1088/1361-6501/acf23c
https://iopscience.iop.org/article/10.1088/1361-6501/acf23c
https://iopscience.iop.org/article/10.1088/1361-6501/acf23c/pdf

Stacked denoising autoencoder based fault location in voltage source converters‐high voltage direct current.

Autoři: Luo, Guomin Cheng, Mengxiao Hei, Jiaxin a další

Zdroj: IET Generation, Transmission & Distribution (Wiley-Blackwell); May2021, Vol. 15 Issue 9, p1474-1485, 12p

Semi-Supervised Cross-Subject Emotion Recognition Based on Stacked Denoising Autoencoder Architecture Using a Fusion of Multi-Modal Physiological Signals.

Autoři: Luo, Junhai Tian, Yuxin Yu, Hang a další

Zdroj: Entropy; May2022, Vol. 24 Issue 5, pN.PAG-N.PAG, 29p

Témata: EMOTION recognition, MULTISENSOR data fusion, MULTIMODAL user interfaces, EMOTIONAL state, FEATURE selection, ELECTROENCEPHALOGRAPHY, EMOTIONS

A novel multimodal framework for automatic recognition of individual cattle based on hybrid features using sparse stacked denoising autoencoder and group sparse representation techniques.

Autoři: Kumar, Santosh Kumar, Sunil Shafi, Mehak a další

Zdroj: Multimedia Tools & Applications; Sep2022, Vol. 81 Issue 21, p31075-31106, 32p

Témata: ENDANGERED species, FEATURE extraction, FACE, EXTRACTION techniques

Power transformer fault warning combining support vector machine and improved grey wolf optimization algorithm.

Autoři: SHUZONG ZHAO NORASAGE PATTANADECH

Zdroj: Archives of Electrical Engineering; 2025, Vol. 74 Issue 1, p191-208, 18p

Témata: OPTIMIZATION algorithms, PARTICLE swarm optimization, POWER transformers, FAULT diagnosis, AUTOENCODERS, MACHINE performance

Sediment Classification of Acoustic Backscatter Image Based on Stacked Denoising Autoencoder and Modified Extreme Learning Machine.

Autoři: Zhou, Ping Chen, Gang Wang, Mingwei a další

Zdroj: Remote Sensing; Nov2020, Vol. 12 Issue 22, p3762, 1p

Témata: MACHINE learning, ACOUSTIC imaging, IMAGE denoising, CONVOLUTIONAL neural networks, PARTICLE swarm optimization, SEDIMENTS