Výsledky vyhledávání - neural network with encoder-decoder architecture

Predicting membrane strains with a deep learning encoder-decoder convolutional neural network architecture trained on synthetic finite element data

Autoři: B.S. Vien

Zdroj: Materials Research Proceedings. 50:61-72

Local Change Detection from Video Scene: An End-to-End Encoder–Decoder-Type Deep Neural Network Architecture with Feature Pooling

Autoři: Manoj Kumar Panda Badri Narayan Subudhi Thierry Bouwmans a další

Zdroj: Series in Computer Vision ISBN: 9789819807147

An intelligent speech enhancement model using enhanced heuristic-based residual convolutional neural network with encoder-decoder architecture

Autoři: M. Balasubrahmanyam R. S. Valarmathi

Zdroj: International Journal of Speech Technology. 27:637-656

Recurrent and convolutional neural networks in structural dynamics: a modified attention steered encoder–decoder architecture versus LSTM versus GRU versus TCN topologies to predict the response of shock wave-loaded plates

Autoři: Tandale, Saurabh Balkrishna Stoffel, Marcus

Zdroj: Computational mechanics 72(4), 765-786 (2023). doi:10.1007/s00466-023-02317-8

Přístupová URL adresa: https://publications.rwth-aachen.de/record/956198

Online encoder-decoder anomaly detection using encoder-decoder architecture with novel self-configuring neural networks & pure linear genetic programming for embedded systems

Autoři: Kasparaviciute, Gabriele Thelin, Malin Nordin, Peter a další

Zdroj: 11th International Joint Conference on Computational Intelligence, IJCCI 2019, Vienna, Austria IJCCI 2019 - Proceedings of the 11th International Joint Conference on Computational Intelligence. :163-171

Témata: Neural network, Encoder-decoder, Evolutionary algorithm, Genetic algorithm, Embedded, Self-configuring, Anomaly detection, Linear genetic programming

Popis souboru: electronic

Přístupová URL adresa: https://research.chalmers.se/publication/519597
https://research.chalmers.se/publication/513654
https://research.chalmers.se/publication/519597/file/519597_Fulltext.pdf

Deep Encoder-Decoder Neural Network Architectures for Graph Output Signals

Autoři: Rey, S Tenorio, V Rozada, S a další

Zdroj: 2019 53rd Asilomar Conference on Signals, Systems, and Computers. :225-229

Témata: Graph Autoencoders, Non-Euclidean Data, 0202 electrical engineering, electronic engineering, information engineering, Nonlinear Canonical Correlation Analysis (CCA), Graph Neural Networks, Geometric Deep Learning, 02 engineering and technology

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/acssc/acssc2019.html#ReyTRMM19
https://hdl.handle.net/20.500.11769/538017
https://doi.org/10.1109/IEEECONF44664.2019.9048908

Analysis of the effectiveness of two different loss functions in training a neural network in lung image reconstruction using impedance tomography

Autoři: Malgorzata Lalak-Dybała Barbara Stefaniak Paweł Olszewski

Zdroj: Journal of Modern Science, Vol 57, Iss 3, Pp 594-608 (2024)

Témata: 0301 basic medicine, neural network with encoder-decoder architecture, 03 medical and health sciences, resnet, 0202 electrical engineering, electronic engineering, information engineering, convolutional neural network, Social Sciences, 02 engineering and technology, lung reconstruction, electrical impedance tomography

Přístupová URL adresa: https://doaj.org/article/080fe2c0e5ff4f89b9924bad2ae2f2e4

Neural Network as Datasheet: Modeling B-H Loops of Power Magnetics with Sequence-to-Sequence LSTM Encoder-Decoder Architecture

Autoři: Diego Serrano Haoran Li Thomas Guillod a další

Zdroj: 2022 IEEE 23rd Workshop on Control and Modeling for Power Electronics (COMPEL). :1-8

Témata: 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences

Pattern recognition of soldier uniforms with dilated convolutions and a modified encoder-decoder neural network architecture

Autoři: Manuel Eugenio Morocho-Cayamcela Wansu Lim

Zdroj: Applied Artificial Intelligence, Vol 35, Iss 6, Pp 476-487 (2021)

Témata: Electronic computers. Computer science, 4. Education, 0202 electrical engineering, electronic engineering, information engineering, Q300-390, QA75.5-76.95, 02 engineering and technology, Cybernetics

Přístupová URL adresa: https://doaj.org/article/a69b426d05664be292226c5bbb4e9a8d
https://dblp.uni-trier.de/db/journals/aai/aai35.html#CayamcelaL21
https://www.tandfonline.com/doi/full/10.1080/08839514.2021.1902124
https://doi.org/10.1080/08839514.2021.1902124

Encoder-Decoder Neural Network Architecture for solving Job Shop Scheduling Problems using Reinforcement Learning

Autoři: Ricardo Magalhaes Miguel Martins Susana Vieira a další

Zdroj: 2021 IEEE Symposium Series on Computational Intelligence (SSCI). :01-08

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

Evaluation of different convolutional neural network encoder-decoder architectures for breast mass segmentation

Autoři: Isosalo, A. (Antti) Mustonen, H. (Henrik) Turunen, T. (Topi) a další

Témata: feature pyramid network, computer aided detection, mass detection, deep learning, transfer learning, image segmentation, U-net, 3. Good health

Popis souboru: application/pdf

Přístupová URL adresa: http://urn.fi/urn:nbn:fi-fe2022061747588

Waste Image Segmentation Using Convolutional Neural Network Encoder-Decoder with SegNet Architecture

Autoři: Priyo Sidik Sasongko Khadijah Urratul Aqyuni a další

Zdroj: 2020 4th International Conference on Informatics and Computational Sciences (ICICoS). :1-5

Témata: 03 medical and health sciences, 0302 clinical medicine, 13. Climate action, 11. Sustainability, 12. Responsible consumption

Přístupová URL adresa: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=9299111
http://xplorestaging.ieee.org/ielx7/9298897/9298973/09299111.pdf?arnumber=9299111

Leveraging multi-head attention transformer deep neural network architecture for improved wind speed forecasting

Autoři: Thi Hoai Thu Nguyen null Nguyen Trung Tuan Anh null Pham Phong Ky

Zdroj: Journal of Measurement, Control, and Automation. 29:56-63

New encoder–decoder convolutional LSTM neural network architectures for next-day global ionosphere maps forecast

Autoři: M. C. M. de Paulo H. A. Marques R. Q. Feitosa a další

Zdroj: GPS Solutions. 27

An attention-augmented bidirectional LSTM-based encoder–decoder architecture for electrocardiogram heartbeat classification.

Autoři: Degachi, Oumayma Ouni, Kais

Zdroj: Transactions of the Institute of Measurement & Control. Feb2025, Vol. 47 Issue 3, p506-515. 10p.

Témata: *CONVOLUTIONAL neural networks, *LONG short-term memory, *MEDICAL personnel, *DATA augmentation, *DEEP learning

MEDUSA: Multi-Scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis

Autoři: Hossein Aboutalebi Maya Pavlova Hayden Gunraj a další

Zdroj: Front Med (Lausanne)
Frontiers in Medicine, Vol 8 (2022)

Témata: FOS: Computer and information sciences, Medicine (General), diagnosis, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, COVID-19, deep neural net, 02 engineering and technology, Electrical Engineering and Systems Science - Image and Video Processing, computer vision, R5-920, FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, Medicine, chest X-ray (CXR)

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/35242769
http://arxiv.org/abs/2110.06063
https://doaj.org/article/fd89c8b838ff4884b28da124b3b144c1

Anomaly Detection and Segmentation for Wafer Defect Patterns Using Deep Convolutional Encoder–Decoder Neural Network Architectures in Semiconductor Manufacturing

Autoři: Takeshi Nakazawa Deepak V. Kulkarni

Zdroj: IEEE Transactions on Semiconductor Manufacturing. 32:250-256

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

Přístupová URL adresa: https://ieeexplore.ieee.org/ielx7/66/8704169/08634922.pdf
https://ieeexplore.ieee.org/document/8634922

Encoder-Decoder Neural Architectures for Fast Amortized Inference of CognitiveProcess Models

Autoři: Fengler, Alexander Govindarajan, Lakshmi Narasimhan Frank, Michael J.

Zdroj: Proceedings of the Annual Meeting of the Cognitive Science Society. 42

Témata: Likelihood-free inference, Approximate BayesianComputation, ABC, Importance Sampling, Bayesian Infer-ence, Neural Networks, GPU, Parallel Computing, CognitiveProcess Models.

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/0kz3f94z
https://escholarship.org/content/qt0kz3f94z/qt0kz3f94z.pdf

Magnifier: A Multigrained Neural Network-Based Architecture for Burned Area Delineation

Autoři: Cambrin, Daniele Rege Colomba, Luca Garza, Paolo

Zdroj: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 12263-12277 (2025)

Témata: FOS: Computer and information sciences, QC801-809, Computer Vision and Pattern Recognition (cs.CV), Geophysics. Cosmic physics, Image and Video Processing (eess.IV), postwildfire segmentation, Computer Science - Computer Vision and Pattern Recognition, Deep learning, Electrical Engineering and Systems Science - Image and Video Processing, semantic segmentation, earth observation (EO), natural hazard management, Ocean engineering, FOS: Electrical engineering, electronic engineering, information engineering, TC1501-1800

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2504.19589
https://doaj.org/article/08d42909012e42e3ac1c38cc126cc8f6
https://ieeexplore.ieee.org/document/10980409
https://hdl.handle.net/11583/3001608
https://doi.org/10.1109/jstars.2025.3565819

Trichomonas vaginalis Detection Using Two Convolutional Neural Networks with Encoder-Decoder Architecture

Autoři: Xiangzhou Wang Xiaohui Du Lin Liu a další

Zdroj: Applied Sciences, Vol 11, Iss 6, p 2738 (2021)

Témata: Trichomonas vaginalis detection, rough and fine detection, video object detection, convolutional neural network, encoder-decoder architecture, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2076-3417/11/6/2738; https://doaj.org/toc/2076-3417

Přístupová URL adresa: https://doaj.org/article/326623baf44c45c386debfaf6d3d60b3