Výsledky vyhľadávania - (beta OR bela)-convolutional variational autoencoder

History matching of a three dimensional channelized reservoir using a beta-convolutional variational autoencoder and ensemble smoother with multiple data assimilation

Autori: Youngbin Ahn Jonggeun Choe Baehyun Min

Zdroj: Engineering Applications of Artificial Intelligence. 159:111620

Investigating Beta-Variational Convolutional Autoencoders for the Unsupervised Classification of Chest Pneumonia

Autori: Serag Mohamed Akila Elbrus Imanov Khaled Almezhghwi

Zdroj: Diagnostics, Vol 13, Iss 13, p 2199 (2023)

Predmety: chest pneumonia, classification, unsupervised learning, convolution, autoencoder, variational, Medicine (General), R5-920

Popis súboru: electronic resource

Relation: https://www.mdpi.com/2075-4418/13/13/2199; https://doaj.org/toc/2075-4418

Prístupová URL adresa: https://doaj.org/article/3f5772b5ed7f4a0e867c5884e5bbc516

앙상블 기반 방법과 beta-convolutional variational autoencoder를 사용한 3차원 채널저류층 히스토리매칭 ; 3D Channel Reservoir History Matching Using Ensemble-Based Method and Beta-Convolutional Variational Autoencoder

Autori: 안영빈 최종근 YoungBin Ahn a ďalší

Prispievatelia: 안영빈 최종근 YoungBin Ahn a ďalší

Predmety: 히스토리매칭, 채널저류층, 3D 저류층, 앙상블 기반 방법, 기계 학습, beta-convolutional variational autoencoder, 622.33

Popis súboru: xiii, 158

Relation: 000000178440; https://hdl.handle.net/10371/196356; https://dcollection.snu.ac.kr/common/orgView/000000178440; 000000000050▲000000000058▲000000178440▲

Dostupnosť: https://hdl.handle.net/10371/196356
https://dcollection.snu.ac.kr/common/orgView/000000178440

Markov-CVAELabeller: A Deep Learning Approach for the Labelling of Fault Data.

Autori: Velasco-Gallego, Christian Cubo-Mateo, Nieves

Zdroj: Informatics; Jun2025, Vol. 12 Issue 2, p35, 17p

Predmety: CONVOLUTIONAL neural networks, TIME series analysis, ARTIFICIAL intelligence, DEEP learning, AUTOENCODERS

Reconstruction-based visual anomaly detection in wound rotor synchronous machine production using convolutional autoencoders and structural similarity.

Autori: Kohler, Markus Mitsios, Dionysios Endisch, Christian

Zdroj: Journal of Manufacturing Systems. Feb2025, Vol. 78, p410-432. 23p.

Predmety: ELECTRIC drives, COMPUTER vision, ELECTRIC faults, MACHINE learning, AUTOENCODERS

Intrusion Detection for Blockchain‐Based Internet of Things Using Gaussian Mixture–Fully Convolutional Variational Autoencoder Model.

Autori: Om Kumar, C. U. Marappan, Suguna Murugeshan, Bhavadharini a ďalší

Zdroj: International Journal of Network Management; Nov/Dec2024, Vol. 34 Issue 6, p1-17, 17p

Predmety: SMART cities, SMART devices, DEEP learning, INTERNET of things, DATA quality, INTRUSION detection systems (Computer security)

Graph-Convolutional-Beta-VAE for synthetic abdominal aortic aneurysm generation.

Autori: Fabbri, Francesco Scarpolini, Martino Andrea Iollo, Angelo a ďalší

Zdroj: Medical & Biological Engineering & Computing. Dec2025, p1-19.

Convolutional variational autoencoder for ground motion classification and generation toward efficient seismic fragility assessment.

Autori: Ning, Chunxiao Xie, Yazhou

Zdroj: Computer-Aided Civil & Infrastructure Engineering; Jan2024, Vol. 39 Issue 2, p165-185, 21p

Predmety: GROUND motion, LATENT variables, CONCRETE construction, K-means clustering, EARTHQUAKE magnitude

Smart manufacturing under limited and heterogeneous data: a sim-to-real transfer learning with convolutional variational autoencoder in thermoforming.

Autori: Ramezankhani, Milad Harandi, Mehrtash Seethaler, Rudolf a ďalší

Zdroj: International Journal of Computer Integrated Manufacturing; 2024, Vol. 37 Issue 1/2, p18-36, 19p

Predmety: THERMOGRAPHY, STATISTICAL correlation, PRODUCT quality, HEAT transfer, MANUFACTURING processes, DEEP learning

Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows

Autori: Eivazi, Hamidreza Le Clainche, Soledad Hoyas, Sergio a ďalší

Zdroj: Expert systems with applications. 202:117038

Predmety: Non-linear mode decomposition, Turbulent flows, Variational autoencoders, Convolutional neural networks, Machine learning

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-314853
https://doi.org/10.1016/j.eswa.2022.117038

Task level disentanglement learning in robotics using βVAE

Autori: M S, Midhun Kurian, James

Zdroj: International journal of electrical and computer engineering systems
Volume 13
Issue 7

Predmety: Machine Learning, Variational Autoencoder, Neural Networks, Robotics, beta-VAE

Popis súboru: application/pdf

Prístupová URL adresa: https://hrcak.srce.hr/file/412502
https://doi.org/10.32985/ijeces.13.7.8
https://hrcak.srce.hr/284952

Hydrogeophysical Characterization of Nonstationary DNAPL Source Zones by Integrating a Convolutional Variational Autoencoder and Ensemble Smoother.

Autori: Kang, Xueyuan Kokkinaki, Amalia Kitanidis, Peter K. a ďalší

Zdroj: Water Resources Research; Feb2021, Vol. 57 Issue 2, p1-26, 26p

Predmety: DENSE nonaqueous phase liquids, DEEP learning, GEOLOGICAL statistics

Anomaly Detection for Solder Joints Using β -VAE.

Autori: Ulger, Furkan Yuksel, Seniha Esen Yilmaz, Atila

Zdroj: IEEE Transactions on Components, Packaging & Manufacturing Technology. Dec2021, Vol. 11 Issue 12, p2214-2221. 8p.

Predmety: *INTEGRATED circuits, SOLDER joints, CONVOLUTIONAL neural networks, AUTOMATIC optical inspection, PRINTED circuits

Adaptive Neural Network System for Detecting Unauthorised Intrusions Based on Real-Time Traffic Analysis.

Autori: Vladov, Serhii Vysotska, Victoria Lytvyn, Vasyl a ďalší

Zdroj: Computation; Sep2025, Vol. 13 Issue 9, p221, 42p

Predmety: INTRUSION detection systems (Computer security), ANOMALY detection (Computer security), KALMAN filtering, LATENT variables, INTERNET security, TRAFFIC monitoring, MACHINE learning, INTELLIGENT networks

Loop closure detection of visual SLAM based on variational autoencoder.

Autori: Shibin Song Fengjie Yu Xiaojie Jiang a ďalší

Zdroj: Frontiers in Neurorobotics; 2024, p1-13, 13p

Predmety: DEEP learning, IMAGE representation, HANDICRAFT

Deciphering the Coevolutionary Dynamics of L2 β-Lactamases via Deep Learning

Autori: Yu Zhu Jing Gu Zhuoran Zhao a ďalší

Zdroj: J Chem Inf Model

Predmety: Evolution, Molecular, Deep Learning, Protein Conformation, Stenotrophomonas maltophilia, Molecular Dynamics Simulation, beta-Lactamases

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38687957
https://discovery-pp.ucl.ac.uk/id/eprint/10191804/

MV-MFF: Multi-View Multi-Feature Fusion Model for Pneumonia Classification.

Autori: Alsulami, Najla Althobaiti, Hassan Alafif, Tarik

Zdroj: Diagnostics (2075-4418); Jul2024, Vol. 14 Issue 14, p1566, 15p

Predmety: IMAGE recognition (Computer vision), X-ray imaging, LUNG diseases, X-rays, PNEUMONIA

Gating interactions steer loop conformational changes in the active site of the L1 metallo-β-lactamase.

Autori: Zhuoran Zhao Xiayu Shen Shuang Chen a ďalší

Zdroj: eLife. 2/24/2023, p1-18. 18p.

Predmety: *MOLECULAR dynamics, *BETA lactam antibiotics, *STENOTROPHOMONAS maltophilia, *ANTIBACTERIAL agents, *DEEP learning, *MARKOV processes

FusionNet: An Unsupervised Convolutional Variational Network for Hyperspectral and Multispectral Image Fusion.

Autori: Wang, Zhengjue Chen, Bo Lu, Ruiying a ďalší

Zdroj: IEEE Transactions on Image Processing; 2020, Vol. 29, p7565-7577, 13p

Evolutionary Dynamics and Functional Differences in Clinically Relevant Pen β-Lactamases from Burkholderia spp

Autori: Gu, J Agarwal, PK Bonomo, RA a ďalší

Zdroj: Journal of Chemical Information and Modeling , 65 (10) pp. 5086-5098. (2025)

Predmety: beta-Lactamases, Burkholderia, Molecular Dynamics Simulation, Evolution, Molecular, Catalytic Domain, Markov Chains, Mutation

Popis súboru: application/pdf

Relation: https://discovery.ucl.ac.uk/id/eprint/10209808/

Dostupnosť: https://discovery.ucl.ac.uk/id/eprint/10209808/1/gu-et-al-2025-evolutionary.pdf
https://discovery.ucl.ac.uk/id/eprint/10209808/