Výsledky vyhledávání - extrapolation adversarial variational autoencoder

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

Autoři: Wang, Zhengyang Chen, Jun Guo, Kexin a další

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

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

Controllable Blind AC FDIA via Physics-Informed Extrapolative AVAE.

Autoři: Zhao, Siliang Luo, Wuman Shu, Qin a další

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

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

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

Autoři: Xie, YongQiang Zhang, Lei Liu, HongFei a další

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

Témata: 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.

Autoři: Wei, Yuan-Hao Ni, Yi-Qing

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

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

Autoři: Nakamura, Atomu Matsumoto, Homari Chiba, Koharu a další

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

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

NEURAL ORDINARY DIFFERENTIAL EQUATIONS FOR TIME SERIES RECONSTRUCTION.

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

Autoři: D. V., Androsov

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

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

Inverse imaging with elastic waves driven by unsupervised machine learning.

Autoři: Luo, Liyou Shen, Yaxi Xi, Jiawei a další

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

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

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

Autoři: Lee, SiHun Lee, Sangmin Jang, Kijoo a další

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

Aerodynamic shape optimization using graph variational autoencoders and genetic algorithms.

Autoři: Jabón, Jorge Corbera, Sergio Álvarez, Roberto a další

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

Map Completion Using Generative Models on a Custom Dataset.

Autoři: Güzel, Selma Uslu, Erkan

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

NEURAL ORDINARY DIFFERENTIAL EQUATIONS FOR TIME SERIES RECONSTRUCTION

Zdroj: Radio Electronics, Computer Science, Control; No. 4 (2023): Radio Electronics, Computer Science, Control; 69
Радиоэлектроника, информатика, управление; № 4 (2023): Радіоелектроніка, інформатика, управління; 69
Радіоелектроніка, iнформатика, управління; № 4 (2023): Радіоелектроніка, інформатика, управління; 69

Témata: neural ordinary differential equations, deep neural networks, variational autoencoders, recurrent neural networks, long term short memory networks, нейронні звичайні диференціальні рівняння, глибокі нейронні мережі, варіаційні автокодувальники, рекурентні нейронні мережі, мережі довгострокової короткої пам'яті

Popis souboru: application/pdf

Přístupová URL adresa: http://ric.zntu.edu.ua/article/view/294369

Topological magnetic structure generation using VAE-GAN hybrid model and discriminator-driven latent sampling.

Autoři: Park, S. M. Yoon, H. G. Lee, D. B. a další

Zdroj: Scientific Reports; 11/21/2023, Vol. 13 Issue 1, p1-10, 10p

Témata: MAGNETIC structure, GENERATIVE adversarial networks, ARTIFICIAL intelligence, TRANSCRANIAL magnetic stimulation, ACTIVATION energy, TOPOLOGICAL property

Enhanced U-Net architectures for accurate room impulse response generation via differential-phase learning.

Autoři: Martin-Salinas, Ignacio Piñero, Gema Belloch, Jose A. a další

Zdroj: EURASIP Journal on Audio Speech & Music Processing; 11/17/2025, Vol. 2025 Issue 1, p1-15, 15p

Témata: PHASE estimation (Electronics), DEEP learning, LOSS functions (Statistics), ARCHITECTURAL acoustics, LATENT variables

AI‐Guided Inverse Design and Discovery of Recyclable Vitrimeric Polymers.

Autoři: Zheng, Yiwen Thakolkaran, Prakash Biswal, Agni K. a další

Zdroj: Advanced Science; 12/10/2025, Vol. 12 Issue 6, p1-14, 14p

Témata: MACHINE learning, GLASS transition temperature, GAUSSIAN processes, AUTOENCODERS, MOLECULAR dynamics

Class-biased sarcasm detection using BiLSTM variational autoencoder-based synthetic oversampling.

Autoři: Chatterjee, Sankhadeep Bhattacharjee, Saranya Ghosh, Kushankur a další

Zdroj: Soft Computing - A Fusion of Foundations, Methodologies & Applications; May2023, Vol. 27 Issue 9, p5603-5620, 18p

Témata: SARCASM, SENTIMENT analysis, SOCIAL classes, SOCIAL media, LATENT class analysis (Statistics), USER-generated content, SYNTHETIC apertures

Upsampling of compressed financial time-series data using a jointly trained Vector Quantized Variational Autoencoder neural network

Airfoil GAN: encoding and synthesizing airfoils for aerodynamic shape optimization.

Autoři: Yuyang Wang Kenji Shimada Farimani, Amir Barati

Zdroj: Journal of Computational Design & Engineering; Aug2023, Vol. 10 Issue 4, p1350-1362, 13p

Témata: STRUCTURAL optimization, GENERATIVE adversarial networks, AEROFOILS, GENETIC algorithms, RANDOM noise theory, VECTOR data

Conditioned quantum-assisted deep generative surrogate for particle-binary vector indicating thecalorimeter interactions.

Autoři: Toledo-Marín, J. Quetzalcóatl Gonzalez, Sebastian Jia, Hao a další

Zdroj: NPJ Quantum Information; 7/7/2025, Vol. 11 Issue 1, p1-15, 15p

Témata: PARTICLES (Nuclear physics), PHYSICAL sciences, LARGE Hadron Collider, QUANTUM annealing, COLLISIONS (Nuclear physics), CALORIMETERS

Variational autoencoder Bayesian matrix factorization (VABMF) for collaborative filtering.

Autoři: Aldhubri, Ali Lasheng, Yu Mohsen, Farida a další

Zdroj: Applied Intelligence; Jul2021, Vol. 51 Issue 7, p5132-5145, 14p

Témata: MATRIX decomposition, RECOMMENDER systems, MARKOV chain Monte Carlo, FIX-point estimation, LOW-rank matrices, FILTERS & filtration, ALGORITHMS

Latent Timbre Synthesis: Audio-based variational auto-encoders for music composition and sound design applications.

Autoři: Tatar, Kıvanç Bisig, Daniel Pasquier, Philippe

Zdroj: Neural Computing & Applications; 2021, Vol. 33 Issue 1, p67-84, 18p

Témata: MUSICAL composition, SOUND design, SOUND designers, GRAPHICAL user interfaces