Suchergebnisse - "encoder-decoder neural network"

A Single-to-Multi Network for Latency-Free Non-Intrusive Load Monitoring

Autoren: Yinyan Liu Jing Qiu Junda Lu et al.

Quelle: IEEE Transactions on Network Science and Engineering. 9:755-768

Schlagwörter: Encoder-Decoder Neural Network, State Detection, Non-intrusive Load Monitoring, Energy Disaggregation, 7. Clean energy

Capturing the dynamics of microbial interactions through individual-specific networks

Autoren: Behnam Yousefi Federico Melograna Gianluca Galazzo et al.

Weitere Verfasser: Behnam Yousefi Federico Melograna Gianluca Galazzo et al.

Quelle: Front Microbiol
Frontiers in Microbiology, Vol 14 (2023)
Frontiers in microbiology.

Schlagwörter: 2. Zero hunger, Science & Technology, microbial neighborhood dynamics, ASSOCIATION, 3207 Medical microbiology, Microbiology, QR1-502, 3. Good health, network representation learning, individual-specific networks, 3107 Microbiology, 0502 Environmental Science and Management, 0503 Soil Sciences, COMMUNITIES, longitudinal microbiome analysis, Life Sciences & Biomedicine, encoder-decoder neural network, [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM], 0605 Microbiology, GENERATION

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/37256048
https://doaj.org/article/4f33ab49af4f4d438e350ac234b65a30
https://cris.maastrichtuniversity.nl/en/publications/75524847-4982-4bfa-8c4e-a66e1d30f0fe
https://doi.org/10.3389/fmicb.2023.1170391
https://lirias.kuleuven.be/handle/20.500.12942/722001
https://doi.org/10.3389/fmicb.2023.1170391
https://pasteur.hal.science/pasteur-04250568v1
https://pasteur.hal.science/pasteur-04250568v1/document
https://doi.org/10.3389/fmicb.2023.1170391

Panda: Reinforcement Learning-Based Priority Assignment for Multi-Processor Real-Time Scheduling

Autoren: Hyunsung Lee Jinkyu Lee Ikjun Yeom et al.

Quelle: IEEE Access, Vol 8, Pp 185570-185583 (2020)

Schlagwörter: global fixed priority scheduling, reinforcement learning, Priority assignment, 0202 electrical engineering, electronic engineering, information engineering, real-time system, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, encoder-decoder neural network, TK1-9971

Zugangs-URL: https://doaj.org/article/961388e6875947a59002e60fd6418040
https://dblp.uni-trier.de/db/journals/access/access8.html#LeeLYW20
https://ieeexplore.ieee.org/document/9214485

Mild Traumatic Brain Injury and Career Stage Associate with Visible Perivascular Spaces in Special Operations Forces Soldiers

Autoren: Powell, Jacob R. Zong, Xiaopeng Weinstein, Joshua M. et al.

Quelle: Annals of Biomedical Engineering

Schlagwörter: sleep, blast exposure, soldiers, model, specialization, system, injury, non-parametric Mann-Whitney U test, glymphatic system, deep convolutional encoder-decoder neural networks, members, physiological changes, magnetic resonance imaging, resonance imaging, waste clearance, group differences, Special Operations Forces Soldiers, segments, Special Operations Forces combat soldiers, brain, stage associations, U test, military service members, group, neurobiological outcomes, network, analysis, exposure, mild traumatic brain injury history, convolutional encoder-decoder neural network

Relation: https://cdr.lib.unc.edu/downloads/rb68xs01v?file=thumbnail; https://cdr.lib.unc.edu/downloads/rb68xs01v

Verfügbarkeit: https://doi.org/10.17615/2gv8-am31
https://cdr.lib.unc.edu/downloads/rb68xs01v?file=thumbnail
https://cdr.lib.unc.edu/downloads/rb68xs01v

Reliable Classification of FAQs with Spelling Errors Using an Encoder-Decoder Neural Network in Korean

Autoren: Youngjin Jang Harksoo Kim

Quelle: Applied Sciences, Vol 9, Iss 22, p 4758 (2019)

Schlagwörter: faq classification, encoder-decoder neural network, multi-level word embeddings, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/9/22/4758; https://doaj.org/toc/2076-3417; https://doaj.org/article/e8d86d8788ba475fb577017519184d08

Verfügbarkeit: https://doi.org/10.3390/app9224758
https://doaj.org/article/e8d86d8788ba475fb577017519184d08

StaSiS-Net: A stacked and siamese disparity estimation network for depth reconstruction in modern 3D laparoscopy

Autoren: Bardozzo F. Collins T. Forgione A. et al.

Weitere Verfasser: Bardozzo F. Collins T. Forgione A. et al.

Schlagwörter: 3D Laparoscopy, Depth estimation, Disparity estimation, Encoder/decoder neural network, Fuzzy proximity measure, Real-time 3D surface reconstruction, Unsupervised learning

Dateibeschreibung: ELETTRONICO

Relation: info:eu-repo/semantics/altIdentifier/pmid/35139482; info:eu-repo/semantics/altIdentifier/wos/WOS:000793655000006; volume:77; firstpage:102380-1; lastpage:102380-14; numberofpages:14; journal:MEDICAL IMAGE ANALYSIS; http://hdl.handle.net/11386/4778816; https://doi.org/10.1016/j.media.2022.102380

Verfügbarkeit: http://hdl.handle.net/11386/4778816
https://doi.org/10.1016/j.media.2022.102380

Natural Language Processing: Emerging Neural Approaches and Applications

Weitere Verfasser: Esposito, Massimo Masala, Giovanni Luca Minutolo, Aniello et al.

Schlagwörter: tourism big data, text mining, NLP, deep learning, clinical named entity recognition, information extraction, multitask model, long short-term memory, conditional random field, relation extraction, entity recognition, long short-term memory network, multi-turn chatbot, dialogue context encoding, WGAN-based response generation, BERT word embedding, text summary, reinforce learning, FAQ classification, encoder-decoder neural network, multi-level word embeddings, BERT, bidirectional RNN, cloze test, Korean dataset, machine comprehension, neural language model, sentence completion, primary healthcare, chief complaint

Dateibeschreibung: image/jpeg

Relation: ONIX_20220506_9783036522715_253; https://mdpi.com/books/pdfview/book/5219

Verfügbarkeit: https://directory.doabooks.org/handle/20.500.12854/81187
https://hdl.handle.net/20.500.12854/81187
https://mdpi.com/books/pdfview/book/5219

A Single-to-Multi Network for Latency-Free Non-Intrusive Load Monitoring

Autoren: Liu, Yinyan Qiu, Jing Lu, Junda et al.

Index Begriffe: Encoder-Decoder Neural Network, Energy Disaggregation, Non-intrusive Load Monitoring, State Detection, Article

URL: http://repository.ust.hk/ir/Record/1783.1-117348
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=2327-4697&rft.volume=9&rft.issue=2&rft.date=2022&rft.spage=755&rft.aulast=Liu&rft.aufirst=Y.&rft.atitle=A+Single-to-Multi+Network+for+Latency-Free+Non-Intrusive+Load+Monitoring&rft.title=IEEE+Transactions+on+Network+Science+and+Engineering
http://www.scopus.com/record/display.url?eid=2-s2.0-85121357558&origin=inward
http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000792921700033

Comparative Study of Encoder-decoder-based Convolutional Neural Networks in Cartilage Delineation from Knee Magnetic Resonance Images.

Autoren: Yong CW Lai KW Murphy BP et al.

Quelle: Current medical imaging [Curr Med Imaging] 2021; Vol. 17 (8), pp. 981-987.

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

Info zur Zeitschrift: Publisher: Bentham Science Country of Publication: United Arab Emirates NLM ID: 101762461 Publication Model: Print Cited Medium: Internet ISSN: 1573-4056 (Electronic) NLM ISO Abbreviation: Curr Med Imaging Subsets: MEDLINE

MeSH-Schlagworte: Knee Joint*/diagnostic imaging , Osteoarthritis, Knee*/diagnostic imaging, Cartilage ; Humans ; Magnetic Resonance Imaging ; Neural Networks, Computer