Výsledky vyhledávání - "deep sparse autoencoder"

Autoencoder Artificial Neural Network Model for Air Pollution Index Prediction

Autoři: Nor Irwin Basir Kathlyn Kaiyun Tan Danny Hartanto Djarum a další

Zdroj: International Islamic University Malaysia Engineering Journal, Vol 26, Iss 1 (2025)

Témata: Air pollution index, Shallow sparse autoencoder, Deep sparse autoencoder, Prediction, TA1-2040, Engineering (General). Civil engineering (General)

Přístupová URL adresa: https://doaj.org/article/cf7a7313166044ac9bfa585353e7e928

A new deep sparse autoencoder for community detection in complex networks

Autoři: Rong Fei Jingyuan Sha Qingzheng Xu a další

Zdroj: EURASIP Journal on Wireless Communications and Networking, Vol 2020, Iss 1, Pp 1-25 (2020)

Témata: Community detection, Deep sparse autoencoder, RSSI, Telecommunication, TK5101-6720, Electronics, TK7800-8360

Popis souboru: electronic resource

Relation: http://link.springer.com/article/10.1186/s13638-020-01706-4; https://doaj.org/toc/1687-1499

Přístupová URL adresa: https://doaj.org/article/ed3d5a69e2d84d0e8732a88ccd13e8f7

Deep Sparse Autoencoder and Recursive Neural Network for EEG Emotion Recognition

Autoři: Qi Li Yunqing Liu Yujie Shang a další

Zdroj: Entropy, Vol 24, Iss 1187, p 1187 (2022)

Témata: EEG, emotion recognition, deep sparse autoencoder, CNN, LSTM, Science, Astrophysics, QB460-466, Physics, QC1-999

Relation: https://www.mdpi.com/1099-4300/24/9/1187; https://doaj.org/toc/1099-4300; https://doaj.org/article/28b7243e73504ba585372ec00f54babc

Dostupnost: https://doi.org/10.3390/e24091187
https://doaj.org/article/28b7243e73504ba585372ec00f54babc

Remaining Useful Life Prediction of Gear Pump Based on Deep Sparse Autoencoders and Multilayer Bidirectional Long–Short–Term Memory Network

Autoři: Peiyao Zhang Wanlu Jiang Xiaodong Shi a další

Zdroj: Processes, Vol 10, Iss 2500, p 2500 (2022)

Témata: deep sparse autoencoder, support vector data description, multilayer bidirectional long–short–term memory network, remaining useful life, gear pump, Chemical technology, TP1-1185, Chemistry, QD1-999

Relation: https://www.mdpi.com/2227-9717/10/12/2500; https://doaj.org/toc/2227-9717; https://doaj.org/article/9cdb1f95134646289fa12aeeb02fd452

Dostupnost: https://doi.org/10.3390/pr10122500
https://doaj.org/article/9cdb1f95134646289fa12aeeb02fd452

Community Detection Based on Graph Representation Learning in Evolutionary Networks

Autoři: Dongming Chen Mingshuo Nie Jie Wang a další

Zdroj: Applied Sciences, Vol 11, Iss 4497, p 4497 (2021)

Témata: evolutionary networks, graph representation, community detection, deep sparse autoencoder, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/11/10/4497; https://doaj.org/toc/2076-3417; https://doaj.org/article/5a2569fee20e4a078c8eb9c01c8082b5

Dostupnost: https://doi.org/10.3390/app11104497
https://doaj.org/article/5a2569fee20e4a078c8eb9c01c8082b5

Detecting Vasodilation as Potential Diagnostic Biomarker in Breast Cancer Using Deep Learning-Driven Thermomics

Autoři: Bardia Yousefi Hamed Akbari Xavier P.V. Maldague

Zdroj: Biosensors, Vol 10, Iss 164, p 164 (2020)

Témata: vasodilator activity, breast cancer screening, imaging biomarker, deep sparse autoencoder, dimensionality reduction, deep-learning features, Biotechnology, TP248.13-248.65

Relation: https://www.mdpi.com/2079-6374/10/11/164; https://doaj.org/toc/2079-6374; https://doaj.org/article/fc70fc1b9b094fa590b7d52512e9f0f0

Dostupnost: https://doi.org/10.3390/bios10110164
https://doaj.org/article/fc70fc1b9b094fa590b7d52512e9f0f0

Artificial Intelligence Applications and Innovation

Přispěvatelé: Rodrigues, João M. F. Cardoso, Pedro J. S. Chinnici, Marta

Témata: transfer learning, autoencoder, lung cancer, malignancy assessment, data assimilation, deep learning, neural network, thermal imaging, Raynaud phenomenon, systemic sclerosis, evolutionary networks, graph representation, community detection, deep sparse autoencoder, specific learning disorders, dyslexia, artificial intelligence, virtual reality, adaptive learning, inclusive teaching, artificial neural networks, biometrics, document handling, face recognition, Internet of Things, network architecture, smart cities, person ReID, computer vision, deep neural networks

Popis souboru: application/octet-stream

Relation: ONIX_20240514_9783036599496_57; https://mdpi.com/books/pdfview/book/8609

Dostupnost: https://directory.doabooks.org/handle/20.500.12854/137455
https://hdl.handle.net/20.500.12854/137455
https://mdpi.com/books/pdfview/book/8609

Detection of pitting in gears using a deep sparse autoencoder

Autoři: Y Qu M He J Deutsch a další

Témata: gear, pitting detection, deep sparse autoencoder, vibration, deep learning

Relation: https://figshare.com/articles/journal_contribution/Detection_of_pitting_in_gears_using_a_deep_sparse_autoencoder/14903613

Dostupnost: https://doi.org/10.25417/uic.14903613.v1
https://figshare.com/articles/journal_contribution/Detection_of_pitting_in_gears_using_a_deep_sparse_autoencoder/14903613

Detection of Pitting in Gears Using a Deep Sparse Autoencoder

Autoři: Yongzhi Qu Miao He Jason Deutsch a další

Zdroj: Applied Sciences, Vol 7, Iss 5, p 515 (2017)

Témata: gear, pitting detection, deep sparse autoencoder, vibration, deep learning, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: http://www.mdpi.com/2076-3417/7/5/515; https://doaj.org/toc/2076-3417; https://doaj.org/article/222ebef846a449fa89b2cdf3b91c0b87

Dostupnost: https://doi.org/10.3390/app7050515
https://doaj.org/article/222ebef846a449fa89b2cdf3b91c0b87

Biosensors: 10th Anniversary Feature Papers

Přispěvatelé: Rocha-Santos, Teresa A. P. da Costa, João P.

Témata: antioxidants, biosensor, nanomaterials, vasodilator activity, breast cancer screening, imaging biomarker, deep sparse autoencoder, dimensionality reduction, deep-learning features, Bioassays, high performance thin layer chromatography, endocrine disrupting compounds, fluorescent proteins, wastewater, electromagnetic piezoelectric acoustic sensor, quartz, adsorption, diagnostics, extracellular vesicle, dithiocarbamate fungicides, chromatography, Raman spectroscopy, sensors, enzyme inhibition, voltammetry, biosensors, tobacco mosaic virus (TMV), capacitive field-effect sensor, bi-enzyme biosensor, enzyme-logic gate

Popis souboru: image/jpeg

Relation: ONIX_20220506_9783036535715_261; https://mdpi.com/books/pdfview/book/5227

Dostupnost: https://directory.doabooks.org/handle/20.500.12854/81195
https://hdl.handle.net/20.500.12854/81195
https://mdpi.com/books/pdfview/book/5227

Assistive communication system using deep sparse autoencoder with feature learning to assist people with hearing disabilities.

Autoři: Maashi M Aljohani N Alsahafi YA a další

Zdroj: Scientific reports [Sci Rep] 2025 Dec 02. Date of Electronic Publication: 2025 Dec 02.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

Drug Repositioning Based on Deep Sparse Autoencoder and Drug-Disease Similarity.

Autoři: Lei S Lei X Chen M a další

Zdroj: Interdisciplinary sciences, computational life sciences [Interdiscip Sci] 2024 Mar; Vol. 16 (1), pp. 160-175. Date of Electronic Publication: 2023 Dec 16.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 101515919 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1867-1462 (Electronic) Linking ISSN: 18671462 NLM ISO Abbreviation: Interdiscip Sci Subsets: MEDLINE

Výrazy ze slovníku MeSH: Drug Repositioning*/methods , Neural Networks, Computer*, Semantics ; Algorithms ; Computational Biology/methods

Predicting potential microbe-disease associations based on multi-source features and deep learning.

Autoři: Wang L Wang Y Xuan C a další

Zdroj: Briefings in bioinformatics [Brief Bioinform] 2023 Jul 20; Vol. 24 (4).

Způsob vydávání: Journal Article; Research Support, Non-U.S. Gov't

Informace o časopise: Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN: 1477-4054 (Electronic) Linking ISSN: 14675463 NLM ISO Abbreviation: Brief Bioinform Subsets: MEDLINE

Výrazy ze slovníku MeSH: Deep Learning* , COVID-19* , Microbiota*, Humans ; Reproducibility of Results ; Algorithms ; Computational Biology/methods