Sökresultat - "variational autoencoder"

Prism: Privacy-Preserving Inter-Site MRI Harmonization via Disentangled Representation Learning

Galada, Sarang, Halder, Tanurima, Deo, Kunal, Krish, Ram P., Jadhav, Kshitij

2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)

A Novel RIS-Aided Indoor Localization in Single Access Point Scenarios via Generative AI

Pu, Q., Yu, W., Lan, X., Zhou, M., Yang, X.

Glissando-Net: Deep Single View Category Level Pose Estimation and 3D Reconstruction

Sun, B., Kang, H., Guan, L., Li, H., Mordohai, P., Hua, G.

Enhancing IoT Sensors Precision Through Sensor Drift Calibration With Variational Autoencoder

Kamal Hossain, M., Ahmad, I., Habibi, D., Waqas, M.

Distributional Drift Adaptation With Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting

He, H., Zhang, Q., Yi, K., Shi, K., Niu, Z., Cao, L.

Semantic Viruses: How to Destroy a Task Oriented Semantic Communication Network

Zhu, Heng, Song, Feifei, Zhu, Kun

2025 IEEE Wireless Communications and Networking Conference (WCNC)

Robust Task-Oriented Communication with Semantic-Aware Masking and Discrete Codebook

Li, Yundi, Jin, Zhu, Song, Tiecheng, Song, Xiaoqin, Hu, Jing

2025 IEEE Wireless Communications and Networking Conference (WCNC)

Pre-trained Multiple Latent Variable Generative Models are Good Defenders Against Adversarial Attacks

Serez, Dario, Cristani, Marco, Del Bue, Alessio, Murino, Vittorio, Morerio, Pietro

2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

VAENMD: Deep learning driven feature extractor for diagnosis of Facioscapulohumeral Muscular Dystrophy

Khamparia, Aditya, Singh, Chandan

2025 International Conference on Emerging Systems and Intelligent Computing (ESIC)

Tomato Leaf Disease Identification and Growth Dataset Augmentation Based on UAE-GAN

Li, Xin, Li, Fang, Luo, Xiaonan

2025 13th International Conference on Intelligent Control and Information Processing (ICICIP)

FLGuard: Robust Federated Learning Using Dual Attention and Gradient Reconstruction

Karami, Mohammad, Ghassemi, Fatemeh, Kebriaei, Hamed, Azadegan, Hamid

2025 International Conference for Artificial Intelligence, Applications, Innovation and Ethics (AI2E)

Cultural and Creative Product Design based on Target-Embedding Variational Autoencoder and Convolutional Neural Network

Wang, Chunwei

2025 International Conference on Intelligent Systems and Computational Networks (ICISCN)

Subnet Level Anomaly Detection at Time Units Using VAE

Nishida, Tatsuki, Aoki, Shigeki, Ohta, Masaya, Miyamoto, Takao

2025 International Conference on Electronics, Information, and Communication (ICEIC)

Research on Anomaly Detection Algorithm for Course Assessment Results Based on Data Mining

Dong, Jingjing, Bi, Yiqiang, Liu, Jing, Wang, Xiaoming, Man, Fangbing, Huan, Linlin, Zhao, Mingyue, Liu, Xixuan

2025 Asia-Europe Conference on Cybersecurity, Internet of Things and Soft Computing (CITSC)

A Deep Generative Model for the Inverse Design of Transition Metal Ligands and Complexes

Strandgaard, Magnus^{aff1, aff2}, Linjordet, Trond^aff1, Kneiding, Hannes^aff1, Burnage, Arron L.^aff1, Nova, Ainara^{aff1, aff3}, Jensen, Jan Halborg^aff2, Balcells, David^aff1

21 Deep Unsupervised Learning for Condition Monitoring and Prediction of High Dimensional Data with Application on Windfarm SCADA Data

Missing Value Imputation for IoT data: With Applications to Reefer Container Monitoring

Bagchi, Sourav, Jenamani, Mamata, Routray, Aurobinda

2025 17th International Conference on COMmunication Systems and NETworks (COMSNETS)

Enabling Feedback-Free MIMO Transmission for FD-RAN: A Data-Driven Approach

Liu, J., Chen, J., Liu, Z., Zhou, H.

TSC-PCAC: Voxel Transformer and Sparse Convolution-Based Point Cloud Attribute Compression for 3D Broadcasting

Guo, Z., Zhang, Y., Zhu, L., Wang, H., Jiang, G.

Federated Learning-Enabled Jamming Detection for Stochastic Terrestrial and Non-Terrestrial Networks

Meftah, A., Do, T.N., Kaddoum, G., Talhi, C.