Výsledky vyhledávání - "dual branch autoencoder"

Dual-Branch Autoencoder with Clustering Information for Hyperspectral Blind Unmixing

Autoři: Hongru Zong Jianjun Liu

Zdroj: IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. :9139-9142

ConnectomeAE: Multimodal brain connectome-based dual-branch autoencoder and its application in the diagnosis of brain diseases

Autoři: Qiang, Zheng Pengzhi, Nan Yongchao, Cui a další

Zdroj: Computer Methods and Programs in Biomedicine. 267:108801

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40294455

Spatial-Spectral Dual-Branch Autoencoder based on Adaptive Convolution for Hyperspectral Unmixing

Autoři: Baohua Jin Sijia Li Wei Huang a další

Zdroj: 2023 4th International Conference on Computer Engineering and Application (ICCEA). :940-944

Dual Branch Autoencoder Network for Spectral-Spatial Hyperspectral Unmixing

Autoři: Ziqiang Hua Xiaorun Li Yueming Feng a další

Zdroj: IEEE Geoscience and Remote Sensing Letters. 19:1-5

Témata: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://ieeexplore.ieee.org/document/9474909

Dual-branch autoencoder network for attacking deep hashing image retrieval models

Autoři: Sizheng FU Chunjie CAO Zhiyuan LIU a další

Zdroj: Dianxin kexue, Vol 39, Pp 96-106 (2023)

Témata: targeted attack, deep hashing, adversarial attack, image retrieval, Telecommunication, TK5101-6720, Technology

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1000-0801

Přístupová URL adresa: https://doaj.org/article/83431b98bb5b4655862c9871d5871731

A Dual-Branch Autoencoder Network for Underwater Low-Light Polarized Image Enhancement

Autoři: Chang Xue Qingyu Liu Yifan Huang a další

Zdroj: Remote Sensing, Vol 16, Iss 7, p 1134 (2024)

Témata: polarization imaging, low-light image enhancement, underwater image enhancement, Science

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2072-4292/16/7/1134; https://doaj.org/toc/2072-4292

Přístupová URL adresa: https://doaj.org/article/5fb18a1ae6254abc82b9c449be8035f2

DCA: Dual-branch Autoencoder Model for Denoising and Classification of MRI Images

Autoři: Jiao, Yuhang

Zdroj: 2025 IEEE 3rd International Conference on Sensors, Electronics and Computer Engineering (ICSECE) ; page 824-828

Dostupnost: https://doi.org/10.1109/icsece65727.2025.11256886
http://xplorestaging.ieee.org/ielx8/11251516/11256777/11256886.pdf?arnumber=11256886

Deep Clustering Method Based on Dual-branch Wavelet Convolutional Autoencoder and DataAugmentation

Autoři: AN Rui, LU Jin, YANG Jingjing

Zdroj: Jisuanji kexue, Vol 52, Iss 4, Pp 129-137 (2025)

Témata: unsupervised learning, deep clustering, data augmentation, wavelet transform, dual-branch autoencoder, Computer software, QA76.75-76.765, Technology (General), T1-995

Popis souboru: electronic resource

Relation: https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2025-52-4-129.pdf; https://doaj.org/toc/1002-137X

Přístupová URL adresa: https://doaj.org/article/438a3fa270b142348c4d1df27f9eae5b

用于攻击深度哈希图像检索模型的双分支自编码器网络. (Chinese)

Alternate Title: Dual-branch autoencoder network for attacking deep hashing image retrieval models. (English)

Autoři: 符思政 曹春杰 刘志远 a další

Zdroj: Telecommunications Science; 2023, Vol. 39 Issue 11, p96-106, 11p

A Dual-Branch Autoencoder Network for Underwater Low-Light Polarized Image Enhancement.

Autoři: Xue, Chang Liu, Qingyu Huang, Yifan a další

Zdroj: Remote Sensing; Apr2024, Vol. 16 Issue 7, p1134, 24p

Témata: IMAGE intensifiers, IMAGE enhancement (Imaging systems), FEATURE extraction, OPTICAL images

DMFusion: A dual-branch multi-scale feature fusion network for medical multi-modal image fusion.

Autoři: Ma, Gengchen Qiu, Xihe Tan, Xiaoyu

Zdroj: Biomedical Signal Processing & Control. Jul2025, Vol. 105, pN.PAG-N.PAG. 1p.

Témata: Image fusion, Image reconstruction, Feature extraction, Diagnostic imaging, Autoencoder

PRISM: Privacy-preserving Inter-Site MRI Harmonization via Disentangled Representation Learning

Autoři: Galada, Sarang Halder, Tanurima Deo, Kunal a další

Témata: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2411.06513

Radiomics vs. Deep Learning in Autism Classification Using Brain MRI: A Systematic Review.

Autoři: Nalentzi, Katerina Ioannidis, Georgios S. Bougias, Haralabos a další

Zdroj: Applied Sciences (2076-3417); Oct2025, Vol. 15 Issue 19, p10551, 22p

Témata: RADIOMICS, DEEP learning, MAGNETIC resonance imaging, MIXED methods research, ARTIFICIAL intelligence, AUTISM spectrum disorders, MACHINE learning

Study on a Fault Diagnosis Method for Heterogeneous Chiller Units Based on Transfer Learning.

Autoři: Feng, Qiaolian Liu, Yongbao Li, Yanfei a další

Zdroj: Entropy; Oct2025, Vol. 27 Issue 10, p1049, 24p

Témata: FAULT diagnosis, KNOWLEDGE transfer, INDUSTRIAL applications, COOLING systems, AUTOENCODERS, DEEP learning, TRANSFER of training, HETEROGENEITY

Vector-quantized dual-branch fusion network for robust image fusion and anomaly suppression.

Autoři: Huang, Siyang Su, Shaojing Wei, Junyu a další

Zdroj: Information Fusion. Feb2026:Part A, Vol. 126, pN.PAG-N.PAG. 1p.

Témata: *IMAGE fusion, *VECTOR quantization, *MULTISENSOR data fusion, *IMAGE processing

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

Autoři: Galada, Sarang Halder, Tanurima Deo, Kunal a další

Zdroj: 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI). :1-4

Témata: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Image and Video Processing

Přístupová URL adresa: http://arxiv.org/abs/2411.06513

An Accurate and Efficient Diabetic Retinopathy Diagnosis Method via Depthwise Separable Convolution and Multi-View Attention Mechanism.

Autoři: Yang, Qing Wei, Ying Liu, Fei a další

Zdroj: Applied Sciences (2076-3417); Sep2025, Vol. 15 Issue 17, p9298, 17p

Témata: DIABETIC retinopathy, DEEP learning, COMPUTER-assisted image analysis (Medicine), MATHEMATICAL optimization, FEATURE extraction, OCULAR manifestations of general diseases, CONVOLUTIONAL neural networks

SIBERIA: A Self-Sovereign Identity and Multi-Factor Authentication Framework for Industrial Access.

Autoři: Paredes-García, Daniel Fernández-Carrasco, José Álvaro López, Jon Ander Medina a další

Zdroj: Applied Sciences (2076-3417); Aug2025, Vol. 15 Issue 15, p8589, 36p

Témata: MULTI-factor authentication, IDENTITY management systems, INDUSTRIAL security, BIOMETRY, DATA protection, REGULATORY compliance, BLOCKCHAINS

Geo-guided deep learning for spatial downscaling of solute transport in heterogeneous porous media.

Autoři: Pawar, Nikhil M. Soltanmohammadi, Ramin Faroughi, Shirko a další

Zdroj: Computers & Geosciences. Jun2024, Vol. 188, pN.PAG-N.PAG. 1p.

Témata: *POROUS materials, *GENERATIVE adversarial networks, *FINITE element method, *PERCEPTUAL learning, *SIGNAL-to-noise ratio

基于图像域的轻量级恶意软件分类方法研究. (Chinese)

Alternate Title: Research on lightweight malware classification method based on image domain. (English)

Autoři: 孙敬张 程轶男 邹炳慧 a další

Zdroj: Journal on Communication / Tongxin Xuebao; Mar2025, Vol. 46 Issue 3, p187-198, 12p