Výsledky vyhledávání - bayesian autoencoder*

Webcam based visible light spectrometer for accurate honey adulteration detection using variational autoencoder and Bayesian neural network

Autoři: Haris Suhendar Bambang Heru Iswanto Muhammad Ridho Pratama a další

Zdroj: Applied Food Research, Vol 5, Iss 2, Pp 101445- (2025)

Témata: Honey adulteration, Spectrophotometer, Variational autoencoder, Bayesian neural network, Food processing and manufacture, TP368-456

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2772502225007504; https://doaj.org/toc/2772-5022

Přístupová URL adresa: https://doaj.org/article/6074d525a87b458684ae770c60df2d47

Bayesian-Optimized Physics-Informed Deep Autoencoders for Efficient Calibration of Geotechnical Constitutive Models: A NorSand Case Study

Autoři: Luan Carlos de Sena Monteiro Ozelim Michéle Dal Toé Casagrande André Luís Brasil Cavalcante a další

Zdroj: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. 11

Predictive Body Awareness in Soft Robots: A Bayesian Variational Autoencoder Fusing Multimodal Sensory Data

Autoři: Shuyu Wang Dongling Liu Changzeng Fu a další

Zdroj: IEEE Transactions on Robotics. 41:5663-5678

Deep Variational Autoencoder Based Parameter Learning of Bayesian Network with Multiple Latent Variables

Autoři: Xinran Wu Kun Yue Liang Duan a další

Zdroj: IEEE Transactions on Artificial Intelligence. :1-15

Real-Time Anomaly Detection of Sensor Fusion Data in eVTOL Flight Control Systems via Bayesian Variational Autoencoders

Autoři: Freederia AI Researcher

Remaining Useful Life (RUL) Prediction of Industrial Equipment Using a Hybrid Deep Learning Framework: Autoencoders, GANs, and Bayesian Ridge Regression

Autoři: Rajeev Ranjan Sneha N Madhu Shree M

Discovery of Vascular Endothelial Growth Factor Receptor 2 Inhibitors Employing Junction Tree Variational Autoencoder with Bayesian Optimization and Gradient Ascent

Autoři: Gia-Bao Truong Thanh-An Pham Van-Thinh To a další

Zdroj: ACS Omega
ACS Omega, Vol 9, Iss 47, Pp 47180-47193 (2024)

Témata: Chemistry, QD1-999

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39619551
https://doaj.org/article/54dfe691677643b48fae1fd942655734

Bayesian Hierarchical Sparse Autoencoder for Massive MIMO CSI Feedback

Autoři: Huayan Guo Vincent K. N. Lau

Zdroj: IEEE Transactions on Signal Processing. 72:3213-3227

Témata: Deep learning, Variational autoencoder, Massive MIMO, CSI feedback

Accelerating Bayesian sampling for massive black hole binaries with prior constraints from conditional variational autoencoder

Autoři: Hui Sun He Wang Jibo He

Zdroj: Physical Review D. 111

Témata: FOS: Physical sciences, Astrophysics - Instrumentation and Methods for Astrophysics, Instrumentation and Methods for Astrophysics (astro-ph.IM)

Přístupová URL adresa: http://arxiv.org/abs/2502.09266

Bayesian Autoencoder for Medical Anomaly Detection: Uncertainty-Aware Approach for Brain MRI Analysis

Autoři: Dip Roy

Utilizing Variational Autoencoders in the Bayesian Inverse Problem of Photoacoustic Tomography

Autoři: Sahlström, Teemu Tarvainen, Tanja Teknillisen fysiikan laitos

Přispěvatelé: Sahlström, Teemu Tarvainen, Tanja Teknillisen fysiikan laitos

Zdroj: SIAM Journal on Imaging Sciences

Témata: FOS: Computer and information sciences, uncertainty quantification, 62F15, 68T07, 92C55, Bayesian inverse problems, FOS: Physical sciences, Machine Learning (stat.ML), 02 engineering and technology, Computational Physics (physics.comp-ph), photoacoustic tomography, variational Bayesian methods, 03 medical and health sciences, machine learning, 0302 clinical medicine, Statistics - Machine Learning, 0202 electrical engineering, electronic engineering, information engineering, variational autoencoder, Physics - Computational Physics

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2204.06270
https://erepo.uef.fi/handle/123456789/29491

Bayesian Variational Autoencoders for Out-of-Distribution Detection in Physiological Modeling: A Case Study in Fluid Therapy

Autoři: Elham, Estiri Hossein, Mirinejad

Zdroj: 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). :1-4

Témata: Uncertainty, Humans, Fluid Therapy, Bayes Theorem, Computer Simulation, Neural Networks, Computer, Models, Biological, Algorithms

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40038968

Bayesian estimation of muscle mechanisms and therapeutic targets using variational autoencoders

Autoři: Travis Tune Kristina B Kooiker Jennifer Davis a další

Zdroj: Biophys J
bioRxiv

Témata: Sarcomeres, Mice, Mutation, Animals, Bayes Theorem, Articles, Troponin C, Cardiomyopathies, Models, Biological, Article

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39604261
https://pubmed.ncbi.nlm.nih.gov/38766103

Distributed process monitoring based on Kantorovich distance-multiblock variational autoencoder and Bayesian inference

Autoři: Zongyu Yao Qingchao Jiang Xingsheng Gu

Zdroj: Chinese Journal of Chemical Engineering. 73:311-323

Efficient Bayesian full-waveform inversion using a deep convolutional autoencoder prior

Autoři: Shuhua Hu Mrinal K Sen Zeyu Zhao a další

Zdroj: Fourth International Meeting for Applied Geoscience & Energy. :993-997

Enhanced uncertainty quantification variational autoencoders for the solution of Bayesian inverse problems

Autoři: Tonini, Andrea Dede', Luca

Témata: Computer Science - Machine Learning, Mathematics - Numerical Analysis, text

URL: http://arxiv.org/abs/2502.13105

Bayesian autoencoders for anomaly detection : design, uncertainty quantification, and explainability with industrial applications

Autoři: Yong, Bang Xiang Brintrup, Alexandra

Přispěvatelé: Yong, Bang Xiang Brintrup, Alexandra

Témata: anomaly detection, bayesian autoencoder, explainable ai, uncertainty quantification, unsupervised neural networks

Přístupová URL adresa: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.871684

Adaptive Clustering for EGFR Amplification Prediction in Glioblastoma: A Variational Autoencoder-Dirichlet Bayesian Gaussian Approach

Autoři: Homay Danaei Mehr Cong Cong Imran Noorani a další

Zdroj: Lecture Notes in Computer Science ISBN: 9783031958373

Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder

Autoři: Sun, Hui Wang, He He, Jibo

Témata: Astrophysics - Instrumentation and Methods for Astrophysics, text

URL: http://arxiv.org/abs/2502.09266

Identifying Anomalous Behavior in Aircraft Landing Trajectory Using a Bayesian Autoencoder

Autoři: Yingxiao Kong Sankaran Mahadevan

Zdroj: Journal of Aerospace Information Systems. 21:19-27

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0101 mathematics, 01 natural sciences