Suchergebnisse - "adversarial autoencoder"

Evolutionary Adversarial Autoencoder for Unsupervised Anomaly Detection of Industrial Internet of Things

Autoren: Guo-Qiang Zeng Yao-Wei Yang Kang-Di Lu et al.

Quelle: IEEE Transactions on Reliability. 74:3454-3468

Adversarial AutoEncoder-Based Large-Scale Dynamic Multiobjective Evolutionary Algorithm

Autoren: Chenyang Li Gary G. Yen Zhenan He

Quelle: IEEE Transactions on Evolutionary Computation. 29:1112-1126

Covert Water-to-Air Optical Wireless Communication Based on an Adversarial Autoencoder

Autoren: Qingqing Hu Nuo Huang Yuwei Chen et al.

Quelle: IEEE Transactions on Cognitive Communications and Networking. 11:2700-2714

Contrastive Learning-based Domain Adaptive Adversarial Autoencoder for Solid-Phase Fraction in Pipe

Autoren: Zifan Zhao Shihong Yue Yuwei Zhao

Quelle: 2025 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). :1-6

Adversarial Autoencoder based Model Extraction Attacks for Collaborative DNN Inference at Edge

Autoren: Manal Zneit Xiaojie Zhang Motahare Mounesan et al.

Quelle: NOMS 2025-2025 IEEE Network Operations and Management Symposium. :01-09

Robust Seizure Prediction Based on Riemannian Manifold Enhanced Denoising Adversarial Autoencoder

Autoren: Peizhen Peng Yansheng Wu Wanqi Yang et al.

Quelle: ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :1-5

Continuous Latent Adversarial Autoencoder: A Time-Sensitive Method for Incomplete Time-Series Modeling

Autoren: Zhuoqing Chang Shubo Liu Zhaohui Cai et al.

Quelle: IEEE Internet of Things Journal. 12:8552-8569

Research on Emotion Classification Supported by Multimodal Adversarial Autoencoder

Autoren: Jing Yu

Quelle: Journal of Electronic Research and Application. 9:270-275

A Probabilistic Adversarial Autoencoder for Novelty Detection: Leveraging Lightweight Design and Reconstruction Loss

Autoren: Muhammad Asad Ihsan Ullah Muhammad Adeel Hafeez et al.

Weitere Verfasser: Muhammad Asad Ihsan Ullah Muhammad Adeel Hafeez et al.

Quelle: IEEE Access, Vol 13, Pp 98530-98541 (2025)

Schlagwörter: adversarial autoencoders, latent space, probability distribution, generative adversarial networks (GANs), Electrical engineering. Electronics. Nuclear engineering, Anomaly detection, reconstruction loss, TK1-9971

Dateibeschreibung: application/pdf

Zugangs-URL: https://doaj.org/article/640fe831f6f5414da5d831a38bb6ccfb

Pixel-Level and Global Similarity-Based Adversarial Autoencoder Network for Hyperspectral Unmixing

Autoren: Wei Tao Haiyang Zhang Shan Zeng et al.

Quelle: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 7064-7082 (2025)

Schlagwörter: Ocean engineering, Wasserstein generative adversarial network (WGAN), QC801-809, Hyperspectral image unmixing, Geophysics. Cosmic physics, u-shaped network, similarity, TC1501-1800, swin transformer

Zugangs-URL: https://doaj.org/article/14e629a71323448c97213b8e7d3d8c78

Popular Content Prediction Through Adversarial Autoencoder Using Anonymised Data

Autoren: Deborah Vieira de Alencar Maia Joao P Vilela Marilia Curado

Quelle: 2025 IEEE Wireless Communications and Networking Conference (WCNC). :1-6

A4RSIC: Attention-Augmented Adversarial Autoencoder for Remote Sensing Image Compression

Autoren: Saran Sivarajan Akshara Preethy Byju

Quelle: 2025 Emerging Technologies for Intelligent Systems (ETIS). :1-6

Using Multi-Scale Convolution Fusion and Memory-Augmented Adversarial Autoencoder to Detect Diverse Anomalies in Multivariate Time Series

Autoren: Zefei Ning Hao Miao Zhuolun Jiang et al.

Quelle: Tsinghua Science and Technology. 30:234-246

L2G-ECG: Learning to Generate Missing Leads in ECG Signals using Adversarial Autoencoder

Autoren: Apoorva Srivastava Debdoot Sheet Amit Patra

Quelle: IEEE Journal of Biomedical and Health Informatics. :1-11

Contrastive Conditional Adversarial Autoencoder With Class-Specific Forces for Imbalanced Open-Set Fault Detection

Autoren: Zhonglin Zuo Tao Meng Zheng Li et al.

Quelle: IEEE Transactions on Automation Science and Engineering. 22:15757-15767

IAAE-Stega: Generic Blockchain-based Steganography Framework via Invertible Adversarial Autoencoder

Autoren: Xiangbo Yuan Jiahang Sun Zhuo Chen et al.

Quelle: IEEE Transactions on Network Science and Engineering. :1-16

DiffusionAAE: Enhancing hyperspectral image classification with conditional diffusion model and Adversarial Autoencoder

Autoren: Zeyu Cao Jinhui Li Xiangrui Xu

Quelle: Ecological Informatics, Vol 87, Iss , Pp 103118- (2025)

Schlagwörter: Land cover classification, Generative model, Feature extraction, Hyperspectral image classification, Conditional diffusion model, Adversarial autoencoder, Information technology, T58.5-58.64, Ecology, QH540-549.5

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S157495412500127X; https://doaj.org/toc/1574-9541

Zugangs-URL: https://doaj.org/article/ad41b692c5984e31b024c955e44b6c99

Multi-scale convolutional adversarial autoencoder-based anomaly detector for lesion edge localization on diffusion MRI

Autoren: Shuxin Cao Tenglong Wang Qingwei You et al.

Quelle: ISMRM Annual Meeting.

Interpolation of Imaging Mass Spectrometry Data by a Window-Based Adversarial Autoencoder Method

Autoren: Lili Xu Qing Zhai Ariful Islam et al.

Quelle: Journal of the American Society for Mass Spectrometry. 36:127-134

Schlagwörter: Mice, Cerebellum, Image Processing, Computer-Assisted, Animals, Kidney, Algorithms, Mass Spectrometry

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/39688272

Generative Adversarial Autoencoder Integration Voting Algorithm Based on Mass Spectrometry Data

Autoren: Zhou Fengfeng Yu Tao Fan Yusi

Quelle: Insights of Automation in Manufacturing. 1:1-10