Výsledky vyhledávání - adversarial autoencoder~

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

Autoři: Muhammad Asad Ihsan Ullah Muhammad Adeel Hafeez a další

Přispěvatelé: Muhammad Asad Ihsan Ullah Muhammad Adeel Hafeez a další

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

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

Popis souboru: application/pdf

Přístupová URL adresa: https://doaj.org/article/640fe831f6f5414da5d831a38bb6ccfb

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

Autoři: Guo-Qiang Zeng Yao-Wei Yang Kang-Di Lu a další

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

Adversarial AutoEncoder-Based Large-Scale Dynamic Multiobjective Evolutionary Algorithm

Autoři: Chenyang Li Gary G. Yen Zhenan He

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

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

Autoři: Qingqing Hu Nuo Huang Yuwei Chen a další

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

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

Autoři: Wei Tao Haiyang Zhang Shan Zeng a další

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

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

Přístupová URL adresa: https://doaj.org/article/14e629a71323448c97213b8e7d3d8c78

Simulating clinical features on chest radiographs for medical image exploration and CNN explainability using a style-based generative adversarial autoencoder.

Autoři: Hasenstab, Kyle Hahn, Lewis Chao, Nick a další

Zdroj: Scientific Reports. 14(1)

Témata: Autoencoder, Chest radiographs, Convolutional neural network, Explainable artificial intelligence, Generative adversarial network, Humans, Radiography, Thoracic, Neural Networks, Computer, Male, Female, Natriuretic Peptide, Brain, Middle Aged, Aged, Peptide Fragments, Heart Failure, Image Processing, Computer-Assisted

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/1tq0z60t
https://escholarship.org/content/qt1tq0z60t/qt1tq0z60t.pdf

Reconstruction of Well Logging Based on Adversarial Autoencoders and Transformers

Autoři: Fuhao Zhao Weian Huang Zhiqiang Zhao a další

Zdroj: SPE Journal. 30:5177-5188

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

Autoři: Zifan Zhao Shihong Yue Yuwei Zhao

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

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

Autoři: Manal Zneit Xiaojie Zhang Motahare Mounesan a další

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

Robust Seizure Prediction Based on Riemannian Manifold Enhanced Denoising Adversarial Autoencoder

Autoři: Peizhen Peng Yansheng Wu Wanqi Yang a další

Zdroj: 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

Autoři: Zhuoqing Chang Shubo Liu Zhaohui Cai a další

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

Research on Emotion Classification Supported by Multimodal Adversarial Autoencoder

Autoři: Jing Yu

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

Unsupervised Multivariate Time Series Data Anomaly Detection in Industrial IoT: A Confidence Adversarial Autoencoder Network

Autoři: Jiahao Shan Donghong Cai Fang Fang a další

Zdroj: IEEE Open Journal of the Communications Society, Vol 5, Pp 7752-7766 (2024)

Témata: autoencoder, Multivariate time series (MTS), adversarial training, Telecommunication, TK5101-6720, unsupervised learning, Transportation and communications, anomaly detection, HE1-9990

Přístupová URL adresa: https://doaj.org/article/ba9222edf0de4d18a9ad7c8325cdcf77

A hybrid adversarial autoencoder-graph network model with dynamic fusion for robust scRNA-seq clustering

Autoři: Binhua Tang Yingying Feng Xinyu Gao

Zdroj: BMC Genomics, Vol 26, Iss 1, Pp 1-13 (2025)

Témata: ScRNA-seq, Self-supervised clustering, GCN, Adversarial AE, Cross-attention mechanism, Biotechnology, TP248.13-248.65, Genetics, QH426-470

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1471-2164

Přístupová URL adresa: https://doaj.org/article/2a5ea00c188941fbb66094bbf69d63c0

Popular Content Prediction Through Adversarial Autoencoder Using Anonymised Data

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

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

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

Autoři: Zeyu Cao Jinhui Li Xiangrui Xu

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

Témata: 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

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/ad41b692c5984e31b024c955e44b6c99

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

Autoři: Saran Sivarajan Akshara Preethy Byju

Zdroj: 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

Autoři: Zefei Ning Hao Miao Zhuolun Jiang a další

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

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

Autoři: Apoorva Srivastava Debdoot Sheet Amit Patra

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

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

Autoři: Zhonglin Zuo Tao Meng Zheng Li a další

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