Výsledky vyhledávání - "convolutional denoising autoencoder"

Applying Self-Supervised Learning to Image Quality Assessment in Chest CT Imaging

Autoři: Eléonore Pouget Véronique Dedieu

Zdroj: Bioengineering, Vol 11, Iss 4, p 335 (2024)

Témata: self-supervised learning, feature representation learning, convolutional denoising autoencoder, task-based approach, model observer, chest CT image, Technology, Biology (General), QH301-705.5

Relation: https://www.mdpi.com/2306-5354/11/4/335; https://doaj.org/toc/2306-5354; https://doaj.org/article/fca9f9b211b2416bb4945dbfbb6e15b5

Dostupnost: https://doi.org/10.3390/bioengineering11040335
https://doaj.org/article/fca9f9b211b2416bb4945dbfbb6e15b5

Radar Signal Intra-Pulse Modulation Recognition Based on Convolutional Denoising Autoencoder and Deep Convolutional Neural Network

Autoři: Zhiyu Qu Wenyang Wang Changbo Hou a další

Zdroj: IEEE Access, Vol 7, Pp 112339-112347 (2019)

Témata: Cohen class time frequency distribution, deep convolutional neural network, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, Radar signal recognition, convolutional denoising autoencoder, TK1-9971

Přístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08798607.pdf
https://doaj.org/article/fa33e26e05ce42fbade007ceabff40d1
https://ieeexplore.ieee.org/document/8798607
https://dblp.uni-trier.de/db/journals/access/access7.html#QuWHH19
https://doaj.org/article/fa33e26e05ce42fbade007ceabff40d1
https://doi.org/10.1109/ACCESS.2019.2935247

Optimal Compensation of MEMS Gyroscope Noise Kalman Filter Based on Conv-DAE and MultiTCN-Attention Model in Static Base Environment

Autoři: Zimin Huo Fuchao Wang Honghai Shen a další

Zdroj: Sensors, Vol 22, Iss 7249, p 7249 (2022)

Témata: MEMS gyroscope, convolutional denoising autoencoder, temporal convolutional network, attention mechanism, Particle Swarm Optimization algorithm, Kalman filter, Chemical technology, TP1-1185

Relation: https://www.mdpi.com/1424-8220/22/19/7249; https://doaj.org/toc/1424-8220; https://doaj.org/article/79a9ef9d0a4f43048f76ea2ed9b46ab0

Dostupnost: https://doi.org/10.3390/s22197249
https://doaj.org/article/79a9ef9d0a4f43048f76ea2ed9b46ab0

Fault Diagnosis of Rolling Bearings Based on a Residual Dilated Pyramid Network and Full Convolutional Denoising Autoencoder

Autoři: Hongmei Shi Jingcheng Chen Jin Si a další

Zdroj: Sensors, Vol 20, Iss 5734, p 5734 (2020)

Témata: intelligent fault diagnosis, residual learning, dilated pyramid network, fully convolutional denoising autoencoder, noise robustness, Chemical technology, TP1-1185

Relation: https://www.mdpi.com/1424-8220/20/20/5734; https://doaj.org/toc/1424-8220; https://doaj.org/article/995f8a47d49c4e059e88abcfd858ecc7

Dostupnost: https://doi.org/10.3390/s20205734
https://doaj.org/article/995f8a47d49c4e059e88abcfd858ecc7

CCpos: WiFi Fingerprint Indoor Positioning System Based on CDAE-CNN

Autoři: Feng Qin Tao Zuo Xing Wang

Zdroj: Sensors, Vol 21, Iss 4, p 1114 (2021)

Témata: WiFi fingerprint positioning, convolutional denoising autoencoder, convolutional neural network, K-means, Chemical technology, TP1-1185

Popis souboru: electronic resource

Relation: https://www.mdpi.com/1424-8220/21/4/1114; https://doaj.org/toc/1424-8220

Přístupová URL adresa: https://doaj.org/article/5c324ee478414779af4e6dc7653d9b12

Automatic Fabric Defect Detection with a Multi-Scale Convolutional Denoising Autoencoder Network Model

Autoři: Shuang Mei Yudan Wang Guojun Wen

Zdroj: Sensors, Vol 18, Iss 4, p 1064 (2018)

Témata: fabric defect detection, unsupervised learning, deep neural network, convolutional denoising autoencoder, Gaussian pyramid, Chemical technology, TP1-1185

Relation: http://www.mdpi.com/1424-8220/18/4/1064; https://doaj.org/toc/1424-8220; https://doaj.org/article/5e389f2bca1348e780347c16d402a82d

Dostupnost: https://doi.org/10.3390/s18041064
https://doaj.org/article/5e389f2bca1348e780347c16d402a82d

具批量正規化之卷積去雜訊自編碼器性能分析 ; Performance Analysis of Convolutional Denoising Autoencoder with BatchNormalization

Autoři: 胡智超 Hu, Jhih-Chao 陳文雄 教授 a další

Přispěvatelé: 胡智超 Hu, Jhih-Chao 陳文雄 教授 a další

Témata: 卷積神經網路, 卷積去雜訊自編碼器, 批量正規化, 堆疊卷積去雜訊自編碼器, Convolutional Neural Network, Convolutional Denoising Autoencoder, Batch Normalization, Stack Convolutional Denoising Autoencoder

Popis souboru: 130 bytes; text/html

Relation: http://ir.ncnu.edu.tw:8080/handle/310010000/15237; http://ir.ncnu.edu.tw:8080/bitstream/310010000/15237/1/index.html

Dostupnost: http://ir.ncnu.edu.tw:8080/handle/310010000/15237
http://ir.ncnu.edu.tw:8080/bitstream/310010000/15237/1/index.html

Generative AI Models for the Protein Scaffold Filling Problem.

Autoři: Qingge L Badal K Annan R a další

Zdroj: Journal of computational biology : a journal of computational molecular cell biology [J Comput Biol] 2025 Feb; Vol. 32 (2), pp. 127-142. Date of Electronic Publication: 2024 Oct 23.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Mary Ann Liebert, Inc Country of Publication: United States NLM ID: 9433358 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1557-8666 (Electronic) Linking ISSN: 10665277 NLM ISO Abbreviation: J Comput Biol Subsets: MEDLINE

Výrazy ze slovníku MeSH: Proteins*/chemistry , Proteomics*/methods , Sequence Analysis, Protein*/methods , Computational Biology*/methods , Artificial Intelligence*, Algorithms ; Amino Acid Sequence ; Databases, Protein ; Humans

Terahertz spectra reconstructed using convolutional denoising autoencoder for identification of rice grains infested with Sitophilus oryzae at different growth stages.

Autoři: Pu H Yu J Luo J a další

Zdroj: Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy [Spectrochim Acta A Mol Biomol Spectrosc] 2024 Apr 15; Vol. 311, pp. 124015. Date of Electronic Publication: 2024 Feb 10.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Elsevier Country of Publication: England NLM ID: 9602533 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-3557 (Electronic) Linking ISSN: 13861425 NLM ISO Abbreviation: Spectrochim Acta A Mol Biomol Spectrosc Subsets: MEDLINE

Výrazy ze slovníku MeSH: Oryza*/chemistry , Weevils* , Terahertz Spectroscopy*/methods, Animals

SCR Organism: Sitophilus oryzae

RunDAE model: Running denoising autoencoder models for denoising ECG signals.

Autoři: Samann F Schanze T

Zdroj: Computers in biology and medicine [Comput Biol Med] 2023 Nov; Vol. 166, pp. 107553. Date of Electronic Publication: 2023 Sep 30.

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

Informace o časopise: Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE

Výrazy ze slovníku MeSH: Electrocardiography*/methods , Signal Processing, Computer-Assisted* , Algorithms*, Humans ; Signal-To-Noise Ratio