Výsledky vyhľadávania - "stacked convolutional autoencoder"

A Load State Identification Method of Ball Milling Based on Particle Swarm Optimization and Stacked Convolutional Autoencoder

Autori: Kai Sun Qiang Zhang Cunrui Lu a ďalší

Zdroj: 2025 37th Chinese Control and Decision Conference (CCDC). :2435-2440

CRE-TSCAE: A Novel Classification Model Based on Stacked Convolutional Autoencoder for Dual-Target RSVP-BCI Tasks

Autori: Hongying Chen Dan Wang Meng Xu a ďalší

Zdroj: IEEE Transactions on Biomedical Engineering. 71:2080-2094

Predmety: Brain-Computer Interfaces, Humans, Electroencephalography, Signal Processing, Computer-Assisted, Evoked Potentials, Algorithms

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38306265

Stacked Convolutional Autoencoder (SCAE) for Breast Cancer Classification

Autori: null Haryoko Erni Seniwati Theopilus Bayu Sasongko a ďalší

Zdroj: 2023 International Conference on Informatics, Multimedia, Cyber and Informations System (ICIMCIS). :410-414

SCAE—Stacked Convolutional Autoencoder for Fault Diagnosis of a Hydraulic Piston Pump with Limited Data Samples

Autori: Oybek Eraliev Kwang-Hee Lee Chul-Hee Lee

Zdroj: Sensors (Basel)
Sensors, Vol 24, Iss 14, p 4661 (2024)

Predmety: classification, Chemical technology, 0202 electrical engineering, electronic engineering, information engineering, hydraulic piston pump, TP1-1185, 02 engineering and technology, fault diagnosis, stacked convolutional autoencoder, limited data samples, Article, 0201 civil engineering

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39066058
https://doaj.org/article/735a294323c5485088429eff4951dccf

FA-SconvAE-LSTM: Feature-Aligned Stacked Convolutional Autoencoder with Long Short-Term Memory Network for Soft Sensor Modeling

Autori: Ping Wu Zengdi Miao Ke Wang a ďalší

Zdroj: Engineering Applications of Artificial Intelligence. 150:110535

Stacked Convolutional Autoencoder with Multi-label Extreme Learning Machine (SCAE-MLELM) for Bangla Regional Language Classification

Autori: Prommy Sultana Hossain Amitabha Chakrabarty Md. Jalil Piran a ďalší

Zdroj: 2022 5th International Conference on Signal Processing and Machine Learning. :88-93

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

An Improved Data Compression Framework for Wireless Sensor Networks Using Stacked Convolutional Autoencoder (S-CAE)

Autori: Lithin Kumble Kiran Kumari Patil

Zdroj: SN Computer Science. 4

Structural inversion of radar emitter based on stacked convolutional autoencoder and deep neural network

Autori: Yilin Jiang Yu Song Wei Zhang a ďalší

Zdroj: IET Signal Processing. 17

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Stacked Convolutional Autoencoder for Fault Diagnosis of a Hydraulic Axial Piston Pump with Limited Data Samples

Autori: Oybek Maripjon Ugli Eraliev Kwanghee Lee Chul-Hee Lee

Face Recognition Based on Stacked Convolutional Autoencoder and Sparse Representation

Autori: Hong Xu Kai Liu Jianjun Yang a ďalší

Zdroj: 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP). :1-4

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 3. Good health

Prístupová URL adresa: https://dblp.uni-trier.de/db/conf/icdsp/icdsp2018.html#ChangYLXLH18

Gait Recognition Method of Underground Coal Mine Personnel Based on Densely Connected Convolution Network and Stacked Convolutional Autoencoder

Autori: Xiaoyang Liu Jinqiang Liu

Zdroj: Entropy, Vol 22, Iss 6, p 695 (2020)

Predmety: underground coal mine personnel, gait recognition, similarity learning, densely connected convolution network, stacked convolutional autoencoder, Two-Stream neural network, Science, Astrophysics, QB460-466, Physics, QC1-999

Popis súboru: electronic resource

Relation: https://www.mdpi.com/1099-4300/22/6/695; https://doaj.org/toc/1099-4300

Prístupová URL adresa: https://doaj.org/article/20cf7dcdd76d4b939451b71332a43bdc

Unsupervised Domain Adaptation via Stacked Convolutional Autoencoder

Autori: Yi Zhu Xinke Zhou Xindong Wu

Zdroj: Applied Sciences, Vol 13, Iss 1, p 481 (2022)

Predmety: domain adaptation, convolutional autoencoder, sparse autoencoder, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Popis súboru: electronic resource

Relation: https://www.mdpi.com/2076-3417/13/1/481; https://doaj.org/toc/2076-3417

Prístupová URL adresa: https://doaj.org/article/491024e2261147178e7df1a59356e59a

Stacked Convolutional Autoencoder for Detecting Animal Images in Cluttered Scenes with a Novel Feature Extraction Framework

Autori: S. Divya Meena L. Agilandeeswari

Zdroj: Advances in Intelligent Systems and Computing ISBN: 9789811501838

Prístupová URL adresa: https://link.springer.com/chapter/10.1007/978-981-15-0184-5_44
https://dblp.uni-trier.de/db/conf/socpros/socpros2018-2.html#MeenaA18

Research on fault diagnosis and early warning of reciprocating compressor based on stacked convolutional autoencoder optimized by gradient differential evolution

Autori: H Li XM Liu ZW Mao a ďalší

Zdroj: IOP Conference Series: Materials Science and Engineering. 1180:012036

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://iopscience.iop.org/article/10.1088/1757-899X/1180/1/012036

Medical image denoising system based on stacked convolutional autoencoder for enhancing 2-dimensional gel electrophoresis noise reduction

Autori: Aya Saleh Ahmed Wessam H. El-Behaidy Aliaa A. A. Youssif

Zdroj: Biomedical Signal Processing and Control. 69:102842

Predmety: 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://dblp.uni-trier.de/db/journals/bspc/bspc69.html#AhmedEY21
https://www.sciencedirect.com/science/article/pii/S1746809421004390
https://doi.org/10.1016/j.bspc.2021.102842

Intelligent Optimization of Latent Fingerprint Image Segmentation using Stacked Convolutional Autoencoder

Autori: Shukla Manoj Kumar Ravulakolluc Kiran Kumar Chhabra Megha

Zdroj: International Journal of Performability Engineering. 17:379

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://dblp.uni-trier.de/db/journals/ijpe/ijpe17.html#ChhabraSR21
http://www.ijpe-online.com/EN/abstract/abstract4565.shtml

Leveraging applied linguistics with stacked convolutional autoencoder for Arabic sentiment analysis and text-to-speech accessibility for visually impaired people

Autori: Selim, Mahmoud M. Assiri, Mohammed S. King Salman Center for Disability Research

Prispievatelia: Selim, Mahmoud M. Assiri, Mohammed S. King Salman Center for Disability Research

Zdroj: Journal of the Chinese Institute of Engineers ; page 1-21 ; ISSN 0253-3839 2158-7299

Dostupnosť: https://doi.org/10.1080/02533839.2025.2541674
https://www.tandfonline.com/doi/pdf/10.1080/02533839.2025.2541674

Intelligent Optimization of Latent Fingerprint Image Segmentation using Stacked Convolutional Autoencoder.

Autori: Chhabra, Megha Shukla, Manoj Kumar Ravulakollu, Kiran Kumar

Zdroj: International Journal of Performability Engineering. Apr2021, Vol. 17 Issue 4, p379-393. 15p.

Predmety: Forensic fingerprinting, Image segmentation, Human fingerprints, Smart structures, Feature selection, Law enforcement agencies

SCAE—Stacked Convolutional Autoencoder for Fault Diagnosis of a Hydraulic Piston Pump with Limited Data Samples.

Autori: Eraliev, Oybek Lee, Kwang-Hee Lee, Chul-Hee

Zdroj: Sensors (14248220); Jul2024, Vol. 24 Issue 14, p4661, 17p

Predmety: RECIPROCATING pumps, FAULT diagnosis, HIERARCHICAL Bayes model, CONVOLUTIONAL neural networks, DEEP learning, MACHINE learning, FEATURE extraction, DIAGNOSIS

Structural inversion of radar emitter based on stacked convolutional autoencoder and deep neural network.

Autori: Jiang, Yilin Song, Yu Zhang, Wei a ďalší

Zdroj: IET Signal Processing (Wiley-Blackwell); Feb2023, Vol. 17 Issue 2, p1-20, 20p

Predmety: ADDITIVE white Gaussian noise, CHROMOSOME inversions, RADAR, VIDEO coding