Suchergebnisse - "variational autoencoder"

A supervised variational autoencoder framework for dimensionality reduction and predictive modeling in high-dimensional socioeconomic data

Autoren: Pei Xue Tianshun Li

Quelle: Journal of Economy and Technology, Vol 4, Iss, Pp 9-19 (2026)

Schlagwörter: High-dimensional data, Socioeconomic forecasting, Economics as a science, Electronic computers. Computer science, Supervised variational autoencoder, Social Sciences, QA75.5-76.95, Dimensionality reduction, HB71-74, Nonlinear representation learning, Predictive modeling

Zugangs-URL: https://doaj.org/article/38a6a8d09a8045ceaf6f58f757d3bf5e

Optimal Dimensionality Reduction using Conditional Variational AutoEncoder

Autoren: Boussam, Sana Carbone, Mathieu Gérard, Benoît et al.

Weitere Verfasser: Boussam, Sana Carbone, Mathieu Gérard, Benoît et al.

Quelle: Transactions on Cryptographic Hardware and Embedded Systems, Vol 2025, Iss 3 (2025)

Schlagwörter: TK7885-7895, Computer engineering. Computer hardware, Deep Learning, Side-Channel Attacks, Variational AutoEncoder, Generative Models, Information technology, [INFO] Computer Science [cs], Optimal Dimensionality Reduction, T58.5-58.64, Optimal Attacks

Dateibeschreibung: application/pdf

Zugangs-URL: https://doaj.org/article/95892bfa2003433ea20557dbfd1de1dd
https://hal.science/hal-05148980v1
https://hal.science/hal-05148980v1/document
https://doi.org/10.46586/tches.v2025.i3.164-211

Early Detection of Rotor Faults in Large Hydrogenerators Using Vibration Measurements, Variational Autoencoder, and Euclidean Distance

Autoren: Rony Ibrahim Ryad Zemouri Antoine Tahan et al.

Quelle: IEEE Transactions on Industry Applications. 61:9023-9032

Quantum Variational Autoencoder Based on Weak Measurements With Fuzzy Filtering of Input Data

Autoren: Vyacheslav Korolyov Maksim Ogurtsov Oleksandr Khodsinskyi

Quelle: Кібернетика та комп'ютерні технології, Iss 1, Pp 106-117 (2025)

Schlagwörter: neural network, weak measurements, Q300-390, variational autoencoder, fuzzy logic, Cybernetics, quantum computing

Zugangs-URL: https://doaj.org/article/e2bcdf8f56e649f69cdfca4e6ca97466

Contrastive Disentangled Variational Autoencoder for Collaborative Filtering

Autoren: Woo-Seong Yun Seong-Min Kang Yoon-Sik Cho

Quelle: IEEE Access, Vol 13, Pp 99221-99233 (2025)

Schlagwörter: contrastive disentanglement, collaborative filtering, variational autoencoder, Electrical engineering. Electronics. Nuclear engineering, Recommender system, TK1-9971

Zugangs-URL: https://doaj.org/article/288f75a7d5b644319ac26ca383ded865

Improving News Recommendation Accuracy Through Multimodal Variational Autoencoder and Adversarial Training

Autoren: Pei Tang Shuo Zhu Bilal Alatas

Quelle: IEEE Access, Vol 13, Pp 85269-85278 (2025)

Schlagwörter: multi-head attention mechanismmeta-learning, convolutional neural networks, deep learning, Variational autoencoder, Electrical engineering. Electronics. Nuclear engineering, generative adversarial networks, multimodal recommender systems, TK1-9971

Zugangs-URL: https://doaj.org/article/f4499787f0d249e18df95bcecd7a8942

Leveraging Vector Quantized Variational Autoencoder for Accurate Synthetic Data Generation in Multivariate Time Series

Autoren: Mohammad Diqi Ema Utami Kusrini Kusrini et al.

Quelle: MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer. 24:423-438

Learning the Difference of Few-Shot Food Data Using Multivariate Knowledge-Guided Variational Autoencoder

Autoren: Yi Zhang Sheng Huang Mingjian Hong et al.

Quelle: IEEE Journal of Biomedical and Health Informatics. 29:5168-5180

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/40072861

Multi-modal graph convolutional network for vessel trajectory prediction based on cooperative intention enhance using conditional variational autoencoder

Autoren: Jiang, Junhao Zuo, Yi Li, Zhiyuan

Quelle: Reliability Engineering and System Safety. 267

Schlagwörter: Graph convolutional network, Trajectory prediction, Cooperative intention constructor, Intelligent situational awareness systems, Conditional variational autoencoder, Multi-modal interaction extractor

Zugangs-URL: https://research.chalmers.se/publication/549377

‏MCVAE: A New Multi-Conditional Approach for Scalable Emergency Ad Hoc Network Design and Node Localization Using Generative Variational Autoencoder

Autoren: M. A. A. Jabbar A. R. Abbas R. F. Ghani

Quelle: International Journal of Engineering. 39:1390-1401

AN UNSUPERVISED APPROACH FOR DETECTION OF ENCRYPTED IOT ANOMALIES USING VARIATIONAL AUTOENCODER AND ISOLATION FOREST TECHNIQUES

Autoren: Sukanya N Raja S

Quelle: ICTACT Journal on Communication Technology. 16:3677-3685

scPerb: Predict single-cell perturbation via style transfer-based variational autoencoder

Autoren: Zijia, Tang Minghao, Zhou Kai, Zhang et al.

Quelle: Journal of Advanced Research. 75:189-198

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/39486785

Fusion-aware quantum variational autoencoder for brain-heart signal modeling in mental health applications

Autoren: Ayesha Jabbar Huang Jianjun Muhammad Kashif Jabbar et al.

Quelle: Journal of King Saud University: Computer and Information Sciences, Vol 37, Iss 9, Pp 1-21 (2025)

Schlagwörter: Quantum computing, Variational autoencoder, Brainwave recognition, Mental health, Internet of things, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1319-1578; https://doaj.org/toc/2213-1248

Zugangs-URL: https://doaj.org/article/f87a6c5e49ce4ca892e29cdce81c4624

Rapid Object Modeling Initialization for Vector Quantized-Variational AutoEncoder

Autoren: Michael Karnes Alper Yilmaz

Quelle: 2025 IEEE International Conference on Image Processing (ICIP). :2402-2407

Mathematical Modeling of Aβ-42 Dimerization Dynamics: Integrating Physics-Based Simulations, Graph-Based Variational Autoencoder-Driven Neural Relational Inference, and Chaos Theory

Autoren: Ehsan Sayyah Emel Kurul Hüseyin Tunç et al.

Quelle: ACS Chemical Neuroscience. 16:3513-3526

Personalized Car-Following Strategy Based on Convolutional Variational Autoencoder and Mildly Conservative Q-Learning

Autoren: Rui He Yupeng Chang Sumin Zhang et al.

Quelle: IEEE Transactions on Vehicular Technology. 74:13372-13386

Beta-Variational Autoencoder for Intern-Turn Short Circuit Fault Diagnosis in Dual Three-Phase Synchronous Motors

Autoren: Antonio Femia Gabriele Antonino Cagliari Giacomo Sala et al.

Quelle: 2025 IEEE Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED). :1-7

BiVAE-CPI: An Interpretable Generative Model Using a Bilateral Variational Autoencoder for Compound–Protein Interaction Prediction

Autoren: Yongxin Zhu Jianxin Wang Shiyue He et al.

Quelle: Journal of Chemical Information and Modeling. 65:9313-9329

Integrative Multi-Omics Prognostic Modeling of Glioma Recurrence Using Variational Autoencoder and Similarity Network Fusion

Autoren: Phuong Lam Tran Yun Tang Justin BoKai Hsu et al.

Quelle: 2025 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). :1-8

Reinforcement Learning and Spatio-Temporal Graph Neural Networks for Alzheimer's Disease Progression Prediction with Variational Autoencoder-Based Data Imputation

Autoren: Garima Shukla Vanshaj Awasthi Sampurna Roy et al.

Quelle: 2025 12th International Conference on Emerging Trends in Engineering & Technology - Signal and Information Processing (ICETET - SIP). :1-7