Search Results - "convolutional variational autoencoder"
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1
Authors: et al.
Source: Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Subject Terms: Artificial intelligence, Clustering algorithm, Convolutional variational autoencoder (CVAE), Deep learning, UNet, Medicine, Science
File Description: electronic resource
Relation: https://doaj.org/toc/2045-2322
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2
Authors: et al.
Contributors: et al.
Source: Machine Learning and Knowledge Extraction, Vol 5, Iss 4, Pp 1493-1518 (2023)
Subject Terms: TK7885-7895, convolutional variational autoencoder (CVAE), Computer engineering. Computer hardware, mm-wave radar sensor, 213 Electronic, automation and communications engineering, electronics, human activity recognition (HAR), deep neural networks (DNNs), dynamic time warping (DTW)
File Description: fulltext
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3
Authors: et al.
Contributors: et al.
Source: Articles
Subject Terms: Electrical and Electronics, spectral topographic maps, 0211 other engineering and technologies, deep learning, Electroencephalography, 02 engineering and technology, latent space interpretation, 7. Clean energy, 12. Responsible consumption, convolutional variational autoencoder, 13. Climate action, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering
File Description: application/pdf
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4
Authors: et al.
Source: Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 6, Pp 3332-3342 (2022)
Subject Terms: 2. Zero hunger, Electronic computers. Computer science, Feature learning, 0202 electrical engineering, electronic engineering, information engineering, Deep learning, QA75.5-76.95, 02 engineering and technology, 15. Life on land, 01 natural sciences, Convolutional variational autoencoder, Tea clones recognition, 0105 earth and related environmental sciences
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5
Authors: et al.
Source: Energy Science & Engineering, Vol 10, Iss 6, Pp 1855-1873 (2022)
Subject Terms: convolutional variational autoencoder, Technology, 13. Climate action, Science, generative model, wind power, hub‐height wind, 01 natural sciences, 7. Clean energy, probabilistic forecasting, 0105 earth and related environmental sciences
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6
Authors: et al.
Source: IEEE Access, Vol 10, Pp 57835-57849 (2022)
Subject Terms: convolutional variational autoencoder, multivariate time series, 0202 electrical engineering, electronic engineering, information engineering, Anomaly detection, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, threshold setting strategy, TK1-9971
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7
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Source: IEEE Access, Vol 10, Pp 107575-107586 (2022)
ArticlesSubject Terms: and neural networks, frequency bands, spectral topographic maps, deep learning, Electroencephalography, 02 engineering and technology, Electrical and Computer Engineering, TK1-9971, latent space, convolutional variational autoencoder, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering
File Description: application/pdf
Access URL: https://doaj.org/article/e3dc65d627ad45ee95e687f9ea24f0ee
https://researchprofiles.tudublin.ie/en/publications/7e2afb67-6b80-443c-8a7f-5bbc0c8b03d8
https://doi.org/10.1109/ACCESS.2022.3212777
https://arrow.tudublin.ie/context/scschcomart/article/1193/viewcontent/Examining_the_Size_of_the_Latent_Space_of.pdf -
8
Authors: et al.
Source: IEEE Access, Vol 9, Pp 52352-52363 (2021)
Subject Terms: convolutional variational autoencoder, 0209 industrial biotechnology, neural network, 0202 electrical engineering, electronic engineering, information engineering, deep learning, imbalanced data, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, Classification, unsupervised pre-training, TK1-9971
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9
Authors: et al.
Contributors: et al.
Source: IEEE Access, Vol 8, Pp 5438-5454 (2020)
Subject Terms: Hydrogenerators, diagnosis, feature extraction, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], 15. Life on land, 7. Clean energy, TK1-9971, convolutional variational autoencoder, model interpretation, deep neural networks, 13. Climate action, data visualization, generative model, Electrical engineering. Electronics. Nuclear engineering, partial discharges
File Description: application/pdf
Access URL: https://ieeexplore.ieee.org/ielx7/6287639/8948470/08944065.pdf
https://doaj.org/article/e4b6f42fa99746b78b183493842fbf33
https://hal.archives-ouvertes.fr/hal-02462252/document
https://doi.org/10.1109/ACCESS.2019.2962775
https://dblp.uni-trier.de/db/journals/access/access8.html#ZemouriLAHKT20
https://ieeexplore.ieee.org/document/8944065/
https://hal.archives-ouvertes.fr/hal-02462252
https://hal.science/hal-02462252v1/document
https://hal.science/hal-02462252v1
https://doi.org/10.1109/access.2019.2962775 -
10
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Source: Articles
Subject Terms: Electroencephalography, convolutional variational autoencoder, latent space interpretation, deep learning, spectral topographic maps, Computer Engineering
File Description: application/pdf
Relation: https://arrow.tudublin.ie/scschcomart/219; https://arrow.tudublin.ie/context/scschcomart/article/1232/viewcontent/Interpreting_Disentangled_Representations_of_Person_Specific_Convolutional_Variational_Autoencoders_of_Spatially_Preserving_EEG_Topographic_Maps_via_Clustering_and_Visual_Plausibility.pdf
Availability: https://arrow.tudublin.ie/scschcomart/219
https://doi.org/10.3390/info14090489
https://arrow.tudublin.ie/context/scschcomart/article/1232/viewcontent/Interpreting_Disentangled_Representations_of_Person_Specific_Convolutional_Variational_Autoencoders_of_Spatially_Preserving_EEG_Topographic_Maps_via_Clustering_and_Visual_Plausibility.pdf -
11
Authors: Yokkampon, Umaporn
Subject Terms: Anomaly detection, Multivariate time series, Convolutional variational autoencoder, Data mining, Threshold setting strategy
File Description: application/pdf
Degree: 博士(情報工学) -- 九州工業大学
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12
Authors: et al.
Source: Frontiers in Robotics and AI, Vol 9 (2022)
Subject Terms: convolutional variational autoencoder, Gaussian process, hidden semi-Markov model, spatio-temporal categorization, segmentation, unsupervised learning, Mechanical engineering and machinery, TJ1-1570, Electronic computers. Computer science, QA75.5-76.95
File Description: electronic resource
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13
Authors: et al.
Source: Energies, Vol 14, Iss 5232, p 5232 (2021)
Subject Terms: NGSIM, occupancy grid, convolutional variational autoencoder, Technology
Relation: https://www.mdpi.com/1996-1073/14/17/5232; https://doaj.org/toc/1996-1073; https://doaj.org/article/d64e795938f14ccd9170411d6cbbdb3b
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14
Authors: et al.
Source: Proceedings of the Annual Conference of JSAI. 2022, :3
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15
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Source: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)Subject Terms: Artificial intelligence, Text-to-speech software, Deep learning (Machine learning), Intel·ligència artificial, Intel·ligència Artificial Generativa, Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial, Autoencoders, Music Representation, Convolutional Autoencoder (CAE), Síntesi d'àudio, Representació musical, Drum Sample Synthesis, Convolutional Variational Autoencoder (CVAE), Algorithmic Composition, Generative Artificial Intelligence, Deep Learning, Producció musical amb IA, AI-Driven Music Production, Composició algorítmica, Síntesi de la parla (Programari), Aprenentatge profund
File Description: application/pdf
Access URL: https://hdl.handle.net/2117/420327
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Authors: et al.
Source: Proceedings of the Annual Conference of JSAI. 2021, :2
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17
Authors: et al.
Source: Proceedings of the Annual Conference of JSAI. 2020, :1
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18
Authors: et al.
Contributors: et al.
Subject Terms: 히스토리매칭, 채널저류층, 3D 저류층, 앙상블 기반 방법, 기계 학습, beta-convolutional variational autoencoder, 622.33
File Description: xiii, 158
Relation: 000000178440; https://hdl.handle.net/10371/196356; https://dcollection.snu.ac.kr/common/orgView/000000178440; 000000000050▲000000000058▲000000178440▲
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Authors: et al.
Source: International Conference on Medical Image Computing and Computer-Assisted Intervention. :249-256
Subject Terms: Lung nodule segmentation, Anomaly detection, Convolutional variational autoencoder, Medical Technology, Medicinsk teknologi
File Description: print
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