Výsledky vyhledávání - "Deep sparse autoencoder"

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

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

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

Self-Adaptive Imbalanced Domain Adaptation With Deep Sparse Autoencoder

Autoři: Yi Zhu Xindong Wu Yun Li a další

Zdroj: IEEE Transactions on Artificial Intelligence. 4:1293-1304

EEG Classification Using Reinforcement Learning and Swarm-Based Deep Sparse Autoencoder

Autoři: V. Rekha T Santhi Punitha R. Sethuraman a další

Zdroj: 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA). :278-283

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

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

Deep sparse autoencoder integrated with three‐stage framework for glaucoma diagnosis

Autoři: Wenle Wang Wei Zhou Jianhang Ji a další

Zdroj: International Journal of Intelligent Systems. 37:7944-7967

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

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

A Coevolutionary Optimization Approach with Deep Sparse Autoencoder for the Extraction of Equipment Degradation Indicators

Autoři: Milani A. E. Antonello F. Baraldi P. a další

Zdroj: Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference. :1772-1779

Témata: Coevolutionary optimization algorithm, 0211 other engineering and technologies, Prognostics and health management (phm), Degradation indicator, 02 engineering and technology, Sparse autoencoder

Popis souboru: application/pdf

Přístupová URL adresa: https://re.public.polimi.it/bitstream/11311/1181259/2/5858.pdf
https://re.public.polimi.it/handle/11311/1181259
https://hdl.handle.net/11311/1181259

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

Integration of Deep Sparse Autoencoder and Particle Swarm Optimization to Develop a Recommender System

Autoři: Milad Ahmadian Mahmood Ahmadi Sajad Ahmadian a další

Zdroj: 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC). :2524-2530

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

Predicting miRNA-Disease Associations through Deep Sparse Autoencoder

Zdroj: Hans Journal of Computational Biology. 11:37-47

Témata: 0301 basic medicine, 0303 health sciences, 03 medical and health sciences

Community Discovery Algorithm Based on Improved Deep Sparse Autoencoder

Autoři: Dianying Chen Xuesong Jiang Jun Chen a další

Zdroj: Communications in Computer and Information Science ISBN: 9789819916382

A detection method of oil content for maize kernels based on CARS feature selection and deep sparse autoencoder feature extraction

Autoři: Dongfeng Yang Jun Hu

Zdroj: Industrial Crops and Products. 222:119464

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.

Enhanced Food Recipe Recommendation Using Heterogeneous Attention Hypergraph and Deep Sparse Autoencoder

Autoři: Saman Forouzandeh WeiHong Jin Rebaz Othman Yahya a další