Výsledky vyhľadávania - "Convolutional encoder–decoder networks"

High-to-low flow dynamics learning with deep convolutional encoder–decoder networks for randomly packed pebble-bed geometry

Autori: David Lanade Yang Liu Yassin Hassan

Zdroj: Physics of Fluids. 37

Deep convolutional encoder–decoder networks based on ensemble learning for semantic segmentation of high-resolution aerial imagery

Autori: Huming Zhu Chendi Liu Qiuming Li a ďalší

Zdroj: CCF Transactions on High Performance Computing. 6:408-424

Optimizing the Hyperparameters of Fully Convolutional Encoder–Decoder Networks for SAR Image Segmentation

Autori: Yuanyue Liu Jin Zhao Jianchao Fan a ďalší

Zdroj: IEEE Geoscience and Remote Sensing Letters. 21:1-5

Architecture of Deep Convolutional Encoder-Decoder Networks for Building Footprint Semantic Segmentation

Autori: Abderrahim Norelyaqine Rida Azmi Abderrahim Saadane

Zdroj: Scientific Programming. 2023:1-15

Predmety: 11. Sustainability, 0211 other engineering and technologies, 02 engineering and technology, 01 natural sciences, 0105 earth and related environmental sciences

Popis súboru: text/xhtml

Retrieval Augmented Convolutional Encoder-decoder Networks for Video Captioning

Autori: Jingwen Chen Yingwei Pan Yehao Li a ďalší

Zdroj: ACM Transactions on Multimedia Computing, Communications, and Applications. 19:1-24

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

Thermal and IR Drop Analysis Using Convolutional Encoder-Decoder Networks

Autori: Ashwath Prabhu Vipul Ahuja Palkesh Jain a ďalší

Zdroj: Proceedings of the 26th Asia and South Pacific Design Automation Conference. :690-696

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Hardware Architecture (cs.AR), 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Computer Science - Hardware Architecture, Machine Learning (cs.LG)

Prístupová URL adresa: http://arxiv.org/pdf/2009.09009
http://arxiv.org/abs/2009.09009
http://dblp.uni-trier.de/db/journals/corr/corr2009.html#abs-2009-09009
https://experts.umn.edu/en/publications/thermal-and-ir-drop-analysis-using-convolutional-encoder-decoder--2
https://dblp.uni-trier.de/db/journals/corr/corr2009.html#abs-2009-09009
https://dl.acm.org/doi/pdf/10.1145/3394885.3431583

DeepCEDNet: An Efficient Deep Convolutional Encoder-Decoder Networks for ECG Signal Enhancement

Autori: Pingping Bing Wei Liu Zhihua Zhang

Zdroj: IEEE Access, Vol 9, Pp 56699-56708 (2021)

Predmety: noise reduction, deep neural network, 0202 electrical engineering, electronic engineering, information engineering, Electrocardiogram signal, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, sparse representation, time-frequency domain, TK1-9971

Prístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/9312710/09400836.pdf
https://doaj.org/article/ba77d596a0074e77b5b0e7dcc6c529a6
https://ieeexplore.ieee.org/document/9400836/
https://dblp.uni-trier.de/db/journals/access/access9.html#BingLZ21

Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning

Autori: Yehao Li Yingwei Pan Jingwen Chen a ďalší

Zdroj: Proceedings of the AAAI Conference on Artificial Intelligence. 33:8167-8174

Predmety: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://ojs.aaai.org/index.php/AAAI/article/download/4826/4699
http://arxiv.org/abs/1905.01077
https://aaai.org/ojs/index.php/AAAI/article/download/4826/4699
https://dblp.uni-trier.de/db/conf/aaai/aaai2019.html#ChenPLYCM19
https://openreview.net/forum?id=tHXHtQvjfB-8
https://doi.org/10.1609/aaai.v33i01.33018167
https://ojs.aaai.org/index.php/AAAI/article/view/4826
https://ojs.aaai.org/index.php/AAAI/article/download/4826/4699

Fetal electrocardiography extraction with residual convolutional encoder–decoder networks

Autori: Wei Zhong Guoli Wang Xuemei Guo a ďalší

Zdroj: Australasian Physical & Engineering Sciences in Medicine. 42:1081-1089

Predmety: Electrocardiography, 03 medical and health sciences, Fetus, 0302 clinical medicine, Databases as Topic, Pregnancy, Abdomen, 0206 medical engineering, Humans, Computer Simulation, Female, 02 engineering and technology, Algorithms

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/31617154
https://www.ncbi.nlm.nih.gov/pubmed/31617154
https://link.springer.com/article/10.1007/s13246-019-00805-x
https://europepmc.org/article/MED/31617154
https://pubmed.ncbi.nlm.nih.gov/31617154/

Deep Convolutional Encoder‐Decoder Networks for Uncertainty Quantification of Dynamic Multiphase Flow in Heterogeneous Media

Autori: Yinhao Zhu Jichun Wu Shaoxing Mo a ďalší

Zdroj: Water Resources Research. 55:703-728

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Statistics - Machine Learning, 13. Climate action, 0207 environmental engineering, Machine Learning (stat.ML), 02 engineering and technology, 6. Clean water, Machine Learning (cs.LG)

Prístupová URL adresa: https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2018WR023528
http://arxiv.org/abs/1807.00882
https://arxiv.org/pdf/1807.00882.pdf
https://arxiv.org/abs/1807.00882
http://export.arxiv.org/pdf/1807.00882
https://onlinelibrary.wiley.com/doi/abs/10.1029/2018WR023528
http://ui.adsabs.harvard.edu/abs/2019WRR....55..703M/abstract
https://dblp.uni-trier.de/db/journals/corr/corr1807.html#abs-1807-00882
https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018WR023528

Densely Connected Squeeze‐and‐Excitation Convolutional Encoder‐Decoder Networks for Identifying Preferential Channels in Highly Heterogeneous Porous Media

Autori: Zhengkun Zhou Liangsheng Shi Yuanyuan Zha a ďalší

Zdroj: Water Resources Research. 58

Predmety: 0208 environmental biotechnology, 0207 environmental engineering, 02 engineering and technology

Convolutional Encoder-Decoder Networks for Volumetric Computed Tomography Surviews from Single- and Dual-View Topograms

Autori: Nadav Shapira Siddharth Bharthulwar Peter B. Noël

Zdroj: Res Sq

Predmety: 03 medical and health sciences, 0302 clinical medicine, Article

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/36711997

Multifidelity Data Fusion in Convolutional Encoder/Decoder Networks

Autori: Lauren Partin Gianluca Geraci Ahmad A. Rushdi a ďalší

Zdroj: Proposed for presentation at the SIAM UQ 22 in , ..

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences, Machine Learning (cs.LG)

Prístupová URL adresa: http://arxiv.org/abs/2205.05187

Convolutional encoder–decoder networks for pixel‐wise ear detection and segmentation

Autori: Žiga Emeršič Luka L. Gabriel Vitomir Štruc a ďalší

Zdroj: IET Biometrics. 7:175-184

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 14. Life underwater, 02 engineering and technology

Prístupová URL adresa: https://www.growkudos.com/publications/10.1049%25252Fiet-bmt.2017.0240/reader
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-bmt.2017.0240
http://www.diva-portal.org/smash/record.jsf?pid=diva2:1205684
https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2017.0240
https://dblp.uni-trier.de/db/journals/iet-bmt/iet-bmt7.html#EmersicGSP18
https://doi.org/10.1049/iet-bmt.2017.0240

Segmenting Cervical Arteries in Phase Contrast Magnetic Resonance Imaging Using Convolutional Encoder–Decoder Networks

Autori: Britney Campbell Dhruv Yadav Ramy Hussein a ďalší

Zdroj: Applied Sciences, Vol 13, Iss 21, p 11820 (2023)

Predmety: deep learning, phase contrast MRI, blood flow, Moyamoya, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Popis súboru: electronic resource

Relation: https://www.mdpi.com/2076-3417/13/21/11820; https://doaj.org/toc/2076-3417

Prístupová URL adresa: https://doaj.org/article/ab8723b0e7484f8983829ef156e8e332

Bayesian deep convolutional encoder–decoder networks for surrogate modeling and uncertainty quantification

Autori: Yinhao Zhu Nicholas Zabaras

Zdroj: Journal of Computational Physics. 366:415-447

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, FOS: Physical sciences, Machine Learning (stat.ML), 02 engineering and technology, Computational Physics (physics.comp-ph), 01 natural sciences, Machine Learning (cs.LG), Statistics - Machine Learning, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Physics - Computational Physics

Prístupová URL adresa: http://arxiv.org/pdf/1801.06879
http://arxiv.org/abs/1801.06879
https://www.sciencedirect.com/science/article/pii/S0021999118302341
https://doi.org/10.1016/j.jcp.2018.04.018
https://arxiv.org/abs/1801.06879v1
http://export.arxiv.org/pdf/1801.06879
https://www.arxiv-vanity.com/papers/1801.06879/
https://dl.acm.org/doi/10.1016/j.jcp.2018.04.018

Multifidelity data fusion in convolutional encoder/decoder networks

Autori: Partin, Lauren Geraci, Gianluca Rushdi, Ahmad a ďalší

Témy: Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2205.05187

Semantic translation with convolutional encoder-decoder networks for viewpoint estimation

Autori: Changjian Gu Xinping Guan Kaijie Wu a ďalší

Zdroj: 2017 11th Asian Control Conference (ASCC). :1660-1665

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

Prístupová URL adresa: https://dblp.uni-trier.de/db/conf/ascc/ascc2017.html#ZhangGG0G17

Inferring Appliance Energy Usage from Smart Meters using Fully Convolutional Encoder Decoder Networks

Autori: Erees Queen B. Macabebe Felan Carlo C. Garcia

Zdroj: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management. :2075-2078

Predmety: 13. Climate action, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy, 12. Responsible consumption

Image Processing for UAV Using Deep Convolutional Encoder–Decoder Networks with Symmetric Skip Connections on a System on Chip (SoC)

Autori: Abhiraj Hinge Pranav Garg Neena Goveas

Zdroj: Algorithms for Intelligent Systems ISBN: 9789811506321

Prístupová URL adresa: https://link.springer.com/chapter/10.1007/978-981-15-0633-8_102