Výsledky vyhledávání - Deep sparse autoencoder network*

Online Public Opinion Situation Assessment by Deep Sparse Autoencoder and Time-Series Modeling Convolutional Neural Network

Autoři: Wei Sun Ran Xiao Xuanmo Li

Zdroj: IEEE Access. 13:152198-152218

CFDSAEDDA: A Collaborative Filtering and Deep Sparse Autoencoder Neural Network Method for Inferring Drug-Disease Associations

Autoři: Van Tinh Nguyen Minh Yen Vu Thi Bich Thuy Ngo a další

Zdroj: Lecture Notes in Networks and Systems ISBN: 9783031809422

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

Predicting potential microbe-disease associations based on heterogeneous graph attention network and deep sparse autoencoder

Autoři: Bo Wang Wenlong Zhao Xiaoxin Du a další

Zdroj: Engineering Applications of Artificial Intelligence. 147:110301

Drug Repositioning Based on Deep Sparse Autoencoder and Drug–Disease Similarity

Autoři: Song Lei Xiujuan Lei Ming Chen a další

Zdroj: Interdisciplinary Sciences: Computational Life Sciences. 16:160-175

Témata: Drug Repositioning, Computational Biology, Neural Networks, Computer, Algorithms, Semantics, 3. Good health

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38103130

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

Network Intrusion Detection System using Feature Extraction based on Deep Sparse Autoencoder

Autoři: Myung-Suk Lee JuGeon Pak Joo-Hwa Lee

Zdroj: 2020 International Conference on Information and Communication Technology Convergence (ICTC). :1282-1287

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

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/ictc/ictc2020.html#LeePL20

An Improved Deep Sparse Autoencoder Driven Network Intrusion Detection System (IDSAE-NIDS)

Autoři: Ismaila Jesse Mazadu Jegede Joshua Abayomi Agu Agu a další

Zdroj: SSRN Electronic Journal.

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; Volume 10; Issue 12; Pages: 2500

Témata: deep sparse autoencoder, support vector data description, multilayer bidirectional long–short–term memory network, remaining useful life, gear pump, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Popis souboru: application/pdf

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 9, p 1187 (2022)

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

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/28b7243e73504ba585372ec00f54babc

Softmax regression based deep sparse autoencoder network for facial emotion recognition in human-robot interaction

Autoři: Luefeng Chen Wanjuan Su Mengtian Zhou a další

Zdroj: Information Sciences. 428:49-61

Témata: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://dl.acm.org/doi/10.1016/j.ins.2017.10.044
https://www.sciencedirect.com/science/article/pii/S0020025517310496
https://dblp.uni-trier.de/db/journals/isci/isci428.html#ChenZSWSH18
https://doi.org/10.1016/j.ins.2017.10.044

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

A Deep Learning Approach Based on Sparse Autoencoder with Long Short-Term Memory for Network Intrusion Detection

Autoři: Naoshi Nakaya Zolzaya Kherlenchimeg

Zdroj: IEEJ Transactions on Electronics, Information and Systems. 2020, 140(6):592

Deep Sparse Autoencoder Network for Facial Emotion Recognition

Autoři: Witold Pedrycz Kaoru Hirota Min Wu a další

Zdroj: Studies in Computational Intelligence ISBN: 9783030615765

Přístupová URL adresa: https://link.springer.com/content/pdf/10.1007%2F978-3-030-61577-2_3.pdf
https://link.springer.com/chapter/10.1007/978-3-030-61577-2_3

An Improved Deep Sparse Autoencoder Driven Network Intrusion Detection System (IDSAE-NIDS).

Autoři: Mazadu, Jesse Ismaila Jegede, Abayomi

Zdroj: Journal of Network & Information Security; 2024, Vol. 12 Issue 2, p45-52, 8p

Témata: COMPUTER networks, USER experience, COMPUTER users, MALWARE, ALGORITHMS, INTRUSION detection systems (Computer security), SYSTEM downtime

Machinery fault diagnosis based on a modified hybrid deep sparse autoencoder using a raw vibration time-series signal

Autoři: Syahril Ramadhan Saufi Muhammad Firdaus Isham Zair Asrar Ahmad a další

Zdroj: Journal of Ambient Intelligence and Humanized Computing. 14:3827-3838

Témata: 0202 electrical engineering, electronic engineering, information engineering, TJ Mechanical engineering and machinery, 02 engineering and technology

Efficient Intrusion Detection System Data Preprocessing Using Deep Sparse Autoencoder with Differential Evolution

Autoři: Saranya N. Anandakumar Haldorai

Zdroj: IET Information Security, Vol 2024 (2024)

Témata: TK7885-7895, Computer engineering. Computer hardware, Electronic computers. Computer science, 0202 electrical engineering, electronic engineering, information engineering, QA75.5-76.95, 02 engineering and technology

Přístupová URL adresa: https://doaj.org/article/86ac3afb614b44499d25257121688900

ESAE-SDA: ensemble sparse autoencoder framework for epigenomics-informed snoRNA-disease associations prediction.

Autoři: Jiang, Xinqing Chen, Xiaojun Xu, Lifeng a další

Zdroj: BMC Bioinformatics; 10/31/2025, Vol. 26 Issue 1, p1-18, 18p

Témata: EPIGENOMICS, NON-coding RNA, GENE expression, ARTIFICIAL intelligence, ENSEMBLE learning, AUTOENCODERS, DISEASE complications

History Matching of Naturally Fractured Reservoirs Using a Deep Sparse Autoencoder

Autoři: Hui Zhao Liming Zhang Chuanjin Yao a další

Zdroj: SPE Journal. 26:1700-1721

Témata: 13. Climate action, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://onepetro.org/SJ/article/26/04/1700/460260/History-Matching-of-Naturally-Fractured-Reservoirs

The classification of absence seizures using power-to-power cross-frequency coupling analysis with a deep learning network.

Autoři: Medvedev, A.V. Lehmann, B.

Zdroj: Frontiers in Neuroinformatics; 2025, p1-11, 11p

Témata: BRAIN waves, AUTOENCODERS, ARTIFICIAL intelligence, DEEP learning, DATABASES, UNIVERSITY hospitals