Search Results - "stack autoencoder"

Classification method for imbalanced LiDAR point cloud based on stack autoencoder

Authors: Peng Ren Qunli Xia

Source: Electronic Research Archive, Vol 31, Iss 6, Pp 3453-3470 (2023)

Subject Terms: T57-57.97, lidar point cloud, Applied mathematics. Quantitative methods, oversampling, imbalanced classification, deep neural network, QA1-939, stack autoencoder, Mathematics

Access URL: https://doaj.org/article/9970255490c2435c9d3acc6171ba6d49

A Hybrid Forecasting System Based on Comprehensive Feature Selection and Intelligent Optimization for Stock Price Index Forecasting

Authors: Xuecheng He Jujie Wang

Source: Mathematics, Vol 12, Iss 23, p 3778 (2024)

Subject Terms: stock index forecasting, recursive feature elimination with cross-validation, stack autoencoder, interval prediction, Mathematics, QA1-939

File Description: electronic resource

Relation: https://www.mdpi.com/2227-7390/12/23/3778; https://doaj.org/toc/2227-7390

Access URL: https://doaj.org/article/c11685e85fda44d78e1f29f5d6421bb6

Real-Time Forecasting of Subsurface Inclusion Defects for Continuous Casting Slabs: A Data-Driven Comparative Study

Authors: Chihang Wei Zhihuan Song

Source: Sensors, Vol 23, Iss 12, p 5415 (2023)

Subject Terms: real-time forecasting, subsurface inclusion defects, data-driven methods, discriminant analysis, stack autoencoder, Chemical technology, TP1-1185

Relation: https://www.mdpi.com/1424-8220/23/12/5415; https://doaj.org/toc/1424-8220; https://doaj.org/article/b0ac11336b8f4932a82da3af929e9c51

Availability: https://doi.org/10.3390/s23125415
https://doaj.org/article/b0ac11336b8f4932a82da3af929e9c51

Incorporating Heterogeneous Features into the Random Subspace Method for Bearing Fault Diagnosis

Authors: Yan Chu Syed Muhammad Ali Mingfeng Lu et al.

Source: Entropy, Vol 25, Iss 8, p 1194 (2023)

Subject Terms: heterogeneous features, random subspace method, bearing fault diagnosis, deep stack autoencoder, lasso, Science, Astrophysics, QB460-466, Physics, QC1-999

Relation: https://www.mdpi.com/1099-4300/25/8/1194; https://doaj.org/toc/1099-4300; https://doaj.org/article/3acb3794c8c34b56ab148f36b36be24a

Availability: https://doi.org/10.3390/e25081194
https://doaj.org/article/3acb3794c8c34b56ab148f36b36be24a

Short-Term Streamflow Forecasting Using the Feature-Enhanced Regression Model

Authors: Bai, Yun Bezak, Nejc Lebar, Klaudija et al.

Source: Water Resources Management. 33:4783-4797

Subject Terms: dolgotrajni kratkoročni spomin, hidrotehnika, forecast, 0208 environmental biotechnology, 0207 environmental engineering, stack autoencoder, 02 engineering and technology, feature enhanced, daily reservoir inflow, napovedi, 6. Clean water, avtoenkoder, 13. Climate action, dnevni vtok v rezervoar, vhodna spremenljivka, long short-term memory

File Description: application/pdf; text/url

Access URL: https://repozitorij.uni-lj.si/Dokument.php?id=126546&dn=
https://ideas.repec.org/a/spr/waterr/v33y2019i14d10.1007_s11269-019-02399-1.html
https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002218111023615
https://link.springer.com/article/10.1007/s11269-019-02399-1

Screening of Potential Indonesia Herbal Compounds Based on Multi-Label Classification for 2019 Coronavirus Disease

Authors: Aulia Fadli Wisnu Ananta Kusuma Annisa et al.

Source: Big Data and Cognitive Computing, Vol 5, Iss 75, p 75 (2021)

Subject Terms: coronavirus disease 2019, drug repurposing, drug-target interaction, health, multilabel classification, stack autoencoder-deep neural network, Technology

Relation: https://www.mdpi.com/2504-2289/5/4/75; https://doaj.org/toc/2504-2289; https://doaj.org/article/ca744c7ce45245099ae201d6867b4ccb

Availability: https://doi.org/10.3390/bdcc5040075
https://doaj.org/article/ca744c7ce45245099ae201d6867b4ccb

Application of deep stack autoencoder network in ship weight estimation

Authors: CHEN Jian,TANG Junyao,ZHU Shengguang,ZHOU Zhaozhao

Source: Jisuanji gongcheng, Vol 45, Iss 5, Pp 315-320 (2019)

Subject Terms: airbag ship launching, deep learning, inverse gradient descent, deep stack autoencoder, layer by layer unsupervised learning, parameters fine-tuning, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

File Description: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/195315.pdf; https://doaj.org/toc/1000-3428

Access URL: https://doaj.org/article/0686b609d7de426aa1e6e2d879173cc7

SAE+LSTM: A New Framework for Emotion Recognition From Multi-Channel EEG

Authors: Xiaofen Xing Zhenqi Li Tianyuan Xu et al.

Source: Frontiers in Neurorobotics, Vol 13 (2019)

Subject Terms: EEG, emotion recognition, neural network, Stack AutoEncoder, LSTM, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

File Description: electronic resource

Relation: https://www.frontiersin.org/article/10.3389/fnbot.2019.00037/full; https://doaj.org/toc/1662-5218

Access URL: https://doaj.org/article/7d468ff791c647fa9967ff5afb66b408

Short-term streamflow forecasting using the feature-enhanced regression model

Authors: Bai, Yun Bezak, Nejc Lebar, Klaudija et al.

Source: Water resources management, vol. 33, no. nov., pp. 4783-4797, 2019. ; ISSN: 0920-4741

Subject Terms: long short-term memory, stack autoencoder, feature enhanced, daily reservoir inflow, forecast, hidrotehnika, dolgotrajni kratkoročni spomin, avtoenkoder, vhodna spremenljivka, dnevni vtok v rezervoar, napovedi, info:eu-repo/classification/udc/626/627

File Description: application/pdf; text/url

Relation: info:eu-repo/grantAgreement/ARRS//P2-0180; https://plus.cobiss.net/cobiss/si/sl/bib/8969057

Availability: https://repozitorij.uni-lj.si/IzpisGradiva.php?id=114378
https://repozitorij.uni-lj.si/Dokument.php?id=126546&dn=
https://repozitorij.uni-lj.si/Dokument.php?id=126623&dn=
https://plus.cobiss.net/cobiss/si/sl/bib/8969057
https://hdl.handle.net/20.500.12556/RUL-114378

Damage characterization using CNN and SAE of broadband Lamb waves.

Authors: Gao F Hua J

Source: Ultrasonics [Ultrasonics] 2022 Feb; Vol. 119, pp. 106592. Date of Electronic Publication: 2021 Sep 21.

Publication Type: Journal Article

Journal Info: Publisher: Elsevier Science Country of Publication: Netherlands NLM ID: 0050452 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1874-9968 (Electronic) Linking ISSN: 0041624X NLM ISO Abbreviation: Ultrasonics Subsets: PubMed not MEDLINE; MEDLINE