Výsledky vyhľadávania - extrapolation adversarial variational autoencoder*

Study on data augmentation with physics-informed generative adversarial networks and the extrapolation performance of COP prediction for chillers.

Autori: Wang, Zhengyang Chen, Jun Guo, Kexin a ďalší

Zdroj: Energy Conversion & Management. Dec2025, Vol. 346, pN.PAG-N.PAG. 1p.

Predmety: *GENERATIVE adversarial networks, *COOLING systems, *GENERALIZATION, *DATA augmentation, *STATISTICAL reliability, *CONSERVATION of energy, *MACHINE learning

Controllable Blind AC FDIA via Physics-Informed Extrapolative AVAE.

Autori: Zhao, Siliang Luo, Wuman Shu, Qin a ďalší

Zdroj: Sensors (14248220); Feb2025, Vol. 25 Issue 3, p943, 26p

Predmety: PHYSICAL laws, AUTOENCODERS, ELECTRICAL load, DATA distribution, ELECTRIC potential measurement

Adversarial Defense for Medical Images.

Autori: Tsai, Min-Jen Lee, Ya-Chu Lien, Hsin-Ying a ďalší

Zdroj: Electronics (2079-9292); Nov2025, Vol. 14 Issue 22, p4384, 46p

Predmety: DEEP learning, AUTOENCODERS, ARTIFICIAL intelligence, MEDICAL photography, SIGNAL denoising, IMAGE quality in imaging systems

Imbalanced few-shot bearing fault diagnosis via hybrid enhanced VAE-WGAN and attention-guided WDCNN.

Autori: Xie, YongQiang Zhang, Lei Liu, HongFei a ďalší

Zdroj: Measurement Science & Technology; Aug2025, Vol. 36 Issue 8, p1-19, 19p

Predmety: FAULT diagnosis, GENERATIVE adversarial networks, FEATURE extraction, INDUSTRIAL applications, DATA quality, NEURAL computers, ARTIFICIAL neural networks, MACHINE learning

Parameter-adaptive variational autoencoder for linear/nonlinear blind source separation.

Autori: Wei, Yuan-Hao Ni, Yi-Qing

Zdroj: Journal of Civil Structural Health Monitoring; Apr2025, Vol. 15 Issue 4, p1161-1184, 24p

Synthetic Data Generation Methods for Longitudinal and Time Series Health Data.

Autori: MILETIC, Marko SARIYAR, Murat

Zdroj: Studies in Health Technology & Informatics; 2025, Vol. 328, p367-371, 5p

Radar Echo Extrapolation Based on Translator Coding and Decoding Conditional Generation Adversarial Network.

Autori: Mou, Xingang He, Yuan Li, Wenfeng a ďalší

Zdroj: Applied Sciences (2076-3417); Nov2024, Vol. 14 Issue 22, p10550, 22p

Predmety: GENERATIVE adversarial networks, FEATURE extraction, IMAGE reconstruction, TIME series analysis, RADAR

Improved Generation of Drawing Sequences Using Variational and Skip-Connected Deep Networks for a Drawing Support System.

Autori: Nakamura, Atomu Matsumoto, Homari Chiba, Koharu a ďalší

Zdroj: Future Internet; Sep2025, Vol. 17 Issue 9, p413, 19p

Predmety: DATA augmentation, DEEP learning, LATENT variables, NEURAL computers, GENERATIVE artificial intelligence, DRAWING techniques

Time-series generative networks for synthesizing realistic scenarios in occupant-centric building simulation.

Autori: Chakrabarty, Ankush Vanfretti, Luigi Wang, Ye a ďalší

Zdroj: Building Simulation; Aug2025, Vol. 18 Issue 8, p2115-2133, 19p

Exploration of Generative Neural Networks for Police Facial Sketches.

Autori: Sádaba-Campo, Nerea Gómez-Moreno, Hilario

Zdroj: Big Data & Cognitive Computing; Feb2025, Vol. 9 Issue 2, p42, 24p

Predmety: GENERATIVE artificial intelligence, MACHINE learning, STABLE Diffusion, GENERATIVE adversarial networks, CRIMINAL investigation

NEURAL ORDINARY DIFFERENTIAL EQUATIONS FOR TIME SERIES RECONSTRUCTION.

Alternate Title: НЕЙРОННІ ЗВИЧАЙНІ ДИФЕРЕНЦІАЛЬНІ РІВНЯННЯ ДЛЯ РЕКОНСТРУКЦІЇ ЧАСОВИХ РЯДІВ. (Ukrainian)

Autori: D. V., Androsov

Zdroj: Radio Electronics, Computer Science, Control; 2023, Issue 4, p69-75, 7p

Predmety: ARTIFICIAL neural networks, GENERATIVE adversarial networks, HILBERT-Huang transform, RECURRENT neural networks, SIGNAL reconstruction, DIFFERENTIAL equations, ORDINARY differential equations

GPTCast: a weather language model for precipitation nowcasting.

Autori: Franch, Gabriele Tomasi, Elena Wanjari, Rishabh a ďalší

Zdroj: Geoscientific Model Development; 2025, Vol. 18 Issue 16, p5351-5371, 21p

Predmety: PRECIPITATION forecasting, WEATHER forecasting, RADAR meteorology, SPATIOTEMPORAL processes, MEASUREMENT uncertainty (Statistics), GENERATIVE artificial intelligence

Geografický termín: EMILIA-Romagna (Italy)

Inverse imaging with elastic waves driven by unsupervised machine learning.

Autori: Luo, Liyou Shen, Yaxi Xi, Jiawei a ďalší

Zdroj: Communications Physics; 6/10/2025, Vol. 8 Issue 1, p1-8, 8p

Predmety: MACHINE learning, ELASTIC waves, ARTIFICIAL intelligence, AUTOENCODERS, INVERSE problems, INDEPENDENT component analysis

Deep learning for multivariate time series anomaly detection: an evaluation of reconstruction-based methods.

Autori: Yahya, Mohammed A. Moya, Antonio R. Ventura, Sebastián

Zdroj: Artificial Intelligence Review; Dec2025, Vol. 58 Issue 12, p1-66, 66p

Data-driven nonlinear parametric model order reduction framework using deep hierarchical variational autoencoder.

Autori: Lee, SiHun Lee, Sangmin Jang, Kijoo a ďalší

Zdroj: Engineering with Computers; Aug2024, Vol. 40 Issue 4, p2385-2400, 16p

TrafficDiff: diffusion model based adversarial traffic scenario controllable generation for autonomous driving robust evaluation.

Autori: Bai, Xuesong Li, Hongbo Dong, Peng a ďalší

Zdroj: Pattern Analysis & Applications; Dec2025, Vol. 28 Issue 4, p1-18, 18p

Aerodynamic shape optimization using graph variational autoencoders and genetic algorithms.

Autori: Jabón, Jorge Corbera, Sergio Álvarez, Roberto a ďalší

Zdroj: Structural & Multidisciplinary Optimization; Mar2024, Vol. 67 Issue 3, p1-18, 18p

Map Completion Using Generative Models on a Custom Dataset.

Autori: Güzel, Selma Uslu, Erkan

Zdroj: Signal, Image & Video Processing; Nov2025, Vol. 19 Issue 11, p1-8, 8p

AFGDiff: a new precipitation nowcasting model framework via adversarial feedback guides diffusion.

Autori: Ji, Chongxing Xu, Yuan Ke, Wei a ďalší

Zdroj: Signal, Image & Video Processing; Oct2025, Vol. 19 Issue 10, p1-12, 12p

A Learning‐Based Variational Backpropagation Method for Inverse Scattering Problems.

Autori: Du, Changlin Ma, Jie Fu, Shenghua a ďalší

Zdroj: International Journal of RF & Microwave Computer-Aided Engineering; 8/13/2025, Vol. 2025, p1-7, 7p

Predmety: DEEP learning, ARTIFICIAL neural networks, COMPUTER performance, PROBLEM solving, INVERSE scattering transform, STATISTICAL accuracy, ELECTROMAGNETISM, BACK propagation