Search Results - Cascade stacked autoencoder

Cascade stacked autoencoder neural network for intrusion detection in CAN-FD vehicular network

Authors: V. Anjana Devi P.V. Bhaskar Reddy Sreenu Ponnada et al.

Source: Knowledge-Based Systems. 329:114301

Prediction of miRNA–Disease Associations by Cascade Forest Model Based on Stacked Autoencoder

Authors: Xiang Hu Zhixiang Yin Zhiliang Zeng et al.

Source: Molecules, Vol 28, Iss 13, p 5013 (2023)

Subject Terms: miRNA–disease association, multi-source information, stacked autoencoder, cascade forest, Organic chemistry, QD241-441

File Description: electronic resource

Relation: https://www.mdpi.com/1420-3049/28/13/5013; https://doaj.org/toc/1420-3049

Access URL: https://doaj.org/article/01a5bdab91a149018b0b974a5a968814

Multi-label classification using a cascade of stacked autoencoder and extreme learning machines

Authors: Anwesha Law Ashish Ghosh

Source: Neurocomputing. 358:222-234

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://www.sciencedirect.com/science/article/pii/S092523121930757X
https://dblp.uni-trier.de/db/journals/ijon/ijon358.html#LawG19

Stacked encoded cascade error feedback deep extreme learning machine network for manufacturing order completion time.

Authors: Khan, Waqar Ahmed Masoud, Mahmoud Eltoukhy, Abdelrahman E. E. et al.

Source: Journal of Intelligent Manufacturing. Feb2025, Vol. 36 Issue 2, p1313-1339. 27p.

Subject Terms: *PRODUCTION planning, EXTREME learning machines, AUTOENCODERS, ERROR functions, NETWORK performance

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

Authors: Tong Liu Zeyue Tian Sheng Chen et al.

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

Subject Terms: 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

File Description: text

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

Novel PV Fault Diagnoses via SAE and Improved Multi-Grained Cascade Forest With String Voltage and Currents Measures

Authors: Wei Gao Rong-Jong Wai Shi-Qun Chen

Source: IEEE Access, Vol 8, Pp 133144-133160 (2020)

Subject Terms: improved multi-grained cascade forest, 0202 electrical engineering, electronic engineering, information engineering, stacked autoencoder, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, fault diagnosis, Photovoltaic, 7. Clean energy, TK1-9971

File Description: 109 bytes; text/html

Access URL: https://ieeexplore.ieee.org/ielx7/6287639/8948470/09144195.pdf
https://doaj.org/article/401fc3b6560c48fea42f112d505f54aa

Prediction of miRNA–Disease Associations by Cascade Forest Model Based on Stacked Autoencoder.

Authors: Hu, Xiang Yin, Zhixiang Zeng, Zhiliang et al.

Source: Molecules; Jul2023, Vol. 28 Issue 13, p5013, 14p

Subject Terms: BREAST tumors, HEPATOCELLULAR carcinoma, FORECASTING, BREAST, MICRORNA

Adaptive cascade enhancement broad learning system combined with stacked correlation information autoencoder for soft sensor modeling of industrial process.

Authors: Ni, Mingming Li, Shaojun

Source: Computers & Chemical Engineering. Sep2023, Vol. 177, pN.PAG-N.PAG. 1p.

Subject Terms: *MANUFACTURING processes, *INSTRUCTIONAL systems, *FEATURE extraction, *LEAD, *DETECTORS, *DEEP learning, *SOURCE code

Groundwater Pollution Source and Aquifer Parameter Estimation Based on a Stacked Autoencoder Substitute.

Authors: Wang, Han Zhang, Jinping Li, Hang et al.

Source: Water (20734441); Sep2024, Vol. 16 Issue 18, p2564, 15p

Subject Terms: LATIN hypercube sampling, FIX-point estimation, DEEP learning, HEURISTIC, PARAMETER estimation

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

Authors: Liu, Tong Tian, Zeyue Chen, Sheng et al.

Index Terms: Adaptation models, Feature extraction, Data models, Predictive models, Computational modeling, Adaptive systems, Radial basis function networks, Deep learning, Gradient radial basis function (GRBF) network, High-dimensional and nonstationary processes, Online adaptation, Output-relevant features, Stacked autoencoder (SAE), Article

URL: http://repository.hkust.edu.hk/ir/Record/1783.1-117155
https://doi.org/10.1109/TCYB.2022.3152107
http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=2168-2267&rft.volume=&rft.issue=&rft.date=2022&rft.spage=&rft.aulast=Liu&rft.aufirst=&rft.atitle=Deep+Cascade+Gradient+RBF+Networks+With+Output-Relevant+Feature+Extraction+and+Adaptation+for+Nonlinear+and+Nonstationary+Processes&rft.title=IEEE+TRANSACTIONS+ON+CYBERNETICS
http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000767840100001
http://www.scopus.com/record/display.url?eid=2-s2.0-85125716311&origin=inward

A Pilot Study of Stacked Autoencoders for Ship Mode Classification.

Authors: Kim, Ji-Yoon Oh, Jin-Seok

Source: Applied Sciences (2076-3417); May2023, Vol. 13 Issue 9, p5491, 15p

Subject Terms: DEEP learning, GREENHOUSE gas mitigation, SHIP fuel, RESEARCH vessels

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

Authors: Liu, Tong Tian, Zeyue Chen, Sheng et al.

Index Terms: Adaptation models, Feature extraction, Data models, Predictive models, Computational modeling, Adaptive systems, Radial basis function networks, Deep learning, Gradient radial basis function (GRBF) network, High-dimensional and nonstationary processes, Online adaptation, Output-relevant features, Stacked autoencoder (SAE), Article

URL: http://repository.ust.hk/ir/Record/1783.1-117155
http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=2168-2267&rft.volume=&rft.issue=&rft.date=2022&rft.spage=&rft.aulast=Liu&rft.aufirst=&rft.atitle=Deep+Cascade+Gradient+RBF+Networks+With+Output-Relevant+Feature+Extraction+and+Adaptation+for+Nonlinear+and+Nonstationary+Processes&rft.title=IEEE+TRANSACTIONS+ON+CYBERNETICS
http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000767840100001
http://www.scopus.com/record/display.url?eid=2-s2.0-85125716311&origin=inward

Fault diagnosis method of wheel diameter difference based on stacked autoencoder and multiple kernel learning.

Authors: Sui, Shunqi Wang, Kaiyun Ling, Liang et al.

Source: Journal of Vibration & Control; Jan2024, Vol. 30 Issue 1/2, p342-353, 12p

Subject Terms: FEATURE extraction, DIAGNOSIS, MULTISENSOR data fusion, SERVICE life, DEEP learning, MECHANICAL wear, FAULT diagnosis, INTELLIGENT tutoring systems

Stacked-autoencoder-based model for COVID-19 diagnosis on CT images.

Authors: Li, Daqiu Fu, Zhangjie Xu, Jun

Source: Applied Intelligence; May2021, Vol. 51 Issue 5, p2805-2817, 13p

Subject Terms: COVID-19 testing, COVID-19 pandemic, DIAGNOSTIC imaging, COVID-19, VIRAL transmission

Machine Learning-Based Validation of LDHC and SLC35G2 Methylation as Epigenetic Biomarkers for Food Allergy.

Authors: Kiliçarslan, Sabire Çiçekliyurt, Meliha Merve Hiz Kiliçarslan, Serhat et al.

Source: Biomedicines; Oct2025, Vol. 13 Issue 10, p2489, 24p

Subject Terms: FOOD allergy, DNA methylation, STATISTICAL reliability, DEEP learning, GENES, MACHINE learning

Sparse stacked autoencoder network for complex system monitoring with industrial applications

Authors: Keke Huang Ziwei Deng Zhaohui Tang et al.

Source: Chaos, Solitons & Fractals. 137:109838

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: http://ui.adsabs.harvard.edu/abs/2020CSF...13709838D/abstract
https://ideas.repec.org/a/eee/chsofr/v137y2020ics0960077920302381.html
https://ui.adsabs.harvard.edu/abs/2020CSF...137j9838D/abstract
https://www.sciencedirect.com/science/article/pii/S0960077920302381

CSO-CNN: circulatory system optimization-based cascade region CNN for fault estimation and driver behavior detection.

Authors: Priyadharshini, G. Ukrit, M. Ferni

Source: Signal, Image & Video Processing; Sep2023, Vol. 17 Issue 6, p3063-3071, 9p

A hierarchical integration deep flexible neural forest framework for cancer subtype classification by integrating multi-omics data

Authors: Jing Xu Peng Wu Yuehui Chen et al.

Source: BMC Bioinformatics, Vol 20, Iss 1, Pp 1-11 (2019)

Subject Terms: Autoencoder, Cancer subtype classification, Cascade forest, Data integration, Deep learning, Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5

File Description: electronic resource

Relation: http://link.springer.com/article/10.1186/s12859-019-3116-7; https://doaj.org/toc/1471-2105

Access URL: https://doaj.org/article/339d1cf8431845b79254277493a322b4

KDSAE: Chronic kidney disease classification with multimedia data learning using deep stacked autoencoder network.

Authors: Khamparia, Aditya Saini, Gurinder Pandey, Babita et al.

Source: Multimedia Tools & Applications; 2020, Vol. 79 Issue 47/48, p35425-35440, 16p

Subject Terms: CHRONIC kidney failure, DEEP learning, NOSOLOGY, MACHINE learning, YEAR, LIFE expectancy, MULTIMEDIA systems

SMALF: miRNA-disease associations prediction based on stacked autoencoder and XGBoost.

Authors: Liu, Dayun Huang, Yibiao Nie, Wenjuan et al.

Source: BMC Bioinformatics; 4/28/2021, Vol. 22 Issue 1, p1-18, 18p

Subject Terms: COLON cancer, SEMANTICS, MICRORNA, HEPATOCELLULAR carcinoma, FORECASTING, BREAST cancer