Výsledky vyhledávání - Multimodal Autoencoder

DenoMAE: A Multimodal Autoencoder for Denoising Modulation Signals

Autoři: Atik Faysal Taha Boushine Mohammad Rostami a další

Zdroj: IEEE Communications Letters. 29:1659-1663

Témata: Computer Science - Machine Learning

Přístupová URL adresa: http://arxiv.org/abs/2501.11538

MOADE: a multimodal autoencoder for dissociating bulk multi-omics data

Autoři: Jiao Sun Ayesha A. Malik Tong Lin a další

Zdroj: Genome Biology, Vol 26, Iss 1, Pp 1-28 (2025)

Témata: Multimodal, Autoencoder, High-resolution purification, Origin cell mapping, Tumor microenvironment, Biology (General), QH301-705.5, Genetics, QH426-470

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1474-760X

Přístupová URL adresa: https://doaj.org/article/15af55c3cabb47de8f417afb0e7892eb

SecMa: A Novel Multimodal Autoencoder Framework for Encrypted IoT Traffic Analysis and Attack Detection

Autoři: V. Ravi A. S. Poornima

Zdroj: Engineering, Technology & Applied Science Research. 15:23020-23026

Cross-Attention-Enhanced Multimodal Fake News Detection using Autoencoder-based Fusion and Transformer-based models.

Autoři: Ghorbel, Rahma Ameur, Hanen Ayed, Yassine Ben

Zdroj: Procedia Computer Science. 2025, Vol. 270, p4044-4053. 10p.

Témata: Autoencoders, Transformer models, Credibility of the press, Multimodal user interfaces, Deep learning, Classification, Feature extraction

Phishing Webpage Detection using URL and HTML Graphs based on a Multimodal AutoEncoder Ensemble

Autoři: Jun-Ho Yoon Seok-Hun Choi Hae-Jung Kim a další

Zdroj: Journal of KIISE. 52:461-468

An Attention Fusion-Based Multimodal Autoencoder Deepfake Detection Framework

Autoři: Tong Hu Wei Liu Yaqi Fan a další

Zdroj: 2025 5th International Conference on Neural Networks, Information and Communication Engineering (NNICE). :1030-1034

Author Correction: MOADE: a multimodal autoencoder for dissociating bulk multi-omics data

Autoři: Jiao Sun Ayesha A. Malik Tong Lin a další

Zdroj: Genome Biology, Vol 26, Iss 1, Pp 1-3 (2025)

Témata: Biology (General), QH301-705.5, Genetics, QH426-470

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1474-760X

Přístupová URL adresa: https://doaj.org/article/7367d2703b84420e9509980f141b1524

Social-MAE: A Transformer-Based Multimodal Autoencoder for Face and Voice

Autoři: Bohy, Hugo Tran, Minh Haddad, Kevin El a další

Zdroj: 2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG). :1-5

Témata: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Vision and Pattern Recognition

Přístupová URL adresa: http://arxiv.org/abs/2508.17502

DenoMAE: A Multimodal Autoencoder for Denoising Modulation Signals

Autoři: Faysal, Atik Boushine, Taha Rostami, Mohammad a další

Témata: Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2501.11538

Multimodal Imputation-Based Multimodal Autoencoder Framework for AQI Classification and Prediction of Indian Cities

Autoři: Routhu Srinivasa Rao Lakshmana Rao Kalabarige M. Raviraja Holla a další

Zdroj: IEEE Access, Vol 12, Pp 108350-108363 (2024)

Témata: PM₂.₅, AQI, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, India, imputation, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, environmental sustainability, 01 natural sciences, PM₁₀, TK1-9971, 0105 earth and related environmental sciences

Přístupová URL adresa: https://doaj.org/article/53c31c0181df4dbaa80a390ffb261175

A Hybrid CNN-Autoencoder-Random Forest Framework for Multimodal Plant Health Classification in Precision Agriculture.

Autoři: Farhat, Shaista Anuradha, Chokka

Zdroj: KSII Transactions on Internet & Information Systems. Aug2025, Vol. 19 Issue 8, p2413-2426. 14p.

Témata: Convolutional neural networks, Random forest algorithms, Autoencoder, Data integration, Deep learning, Machine learning, Precision farming, Agricultural technology

Recognizing Bearings’ Degradation Stage Using Multimodal Autoencoder to Learn Features from Different Time Series

Autoři: Alfeo A. L. Cimino M. G. C. A. Gagliardi G.

Zdroj: SN Computer Science. 5

Témata: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Contrastive learning, Data fusion, Deep feature learning, Multimodal autoencoder, Predictive maintenance, Smart manufacturing

MODE: high-resolution digital dissociation with deep multimodal autoencoder

Autoři: Jiao Sun Ayesha A. Malik Tong Lin a další

Unsupervised Convolutional Autoencoder Framework for Multimodal Medical Image Fusion in Brain Tumour Diagnosis.

Autoři: Vijayan, Saravanan Subramani, Malarvizhi

Zdroj: International Arab Journal of Information Technology (IAJIT). Sep2025, Vol. 22 Issue 5, p972-985. 14p.

Témata: Image fusion, Autoencoder, Magnetic resonance imaging, Feature extraction, Cancer diagnosis, Positron emission tomography, Image quality analysis, Machine learning

Speech Synthesis from Indonesian Lip Movements Leveraging Bi-Lstm and Attention Mechanisms in Multimodal Autoencoder

Autoři: Eka Rahayu Setyaningsih Anik Nur Handayani Wahyu Sakti Gunawan Irianto a další

Deep multimodal autoencoder for crack criticality assessment

Autoři: Hugo Launay David Ryckelynck Laurent Lacourt a další

Přispěvatelé: Hugo Launay David Ryckelynck Laurent Lacourt a další

Zdroj: International Journal for Numerical Methods in Engineering. 123:1456-1480

Témata: Digital Twin, Finite Element Method, 0202 electrical engineering, electronic engineering, information engineering, Multimodal autoencoder, Transfer Learning, 02 engineering and technology, CNN, [SPI.MAT]Engineering Sciences [physics]/Materials

A deep multimodal autoencoder-decoder framework for customer churn prediction incorporating chat-GPT

Autoři: Yun Li Guoen Xia Su Wang a další

Zdroj: Multimedia Tools and Applications. 83:89563-89589

Abstract 5010: High-resolution multi-omic dissociation of brain tumors with deep multimodal autoencoder

Autoři: Jiao Sun Yue Pan Tong Lin a další

Zdroj: Cancer Research. 85:5010-5010

Variational autoencoders for supervision, calibration and multimodal learning

Autoři: Joy, Thomas

Témata: Machine Learning

Přístupová URL adresa: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.886734

FM-AE: Frequency-masked Multimodal Autoencoder for Zinc Electrolysis Plate Contact Abnormality Detection

Autoři: Zhou, Canzong Zhou, Can Zhu, Hongqiu a další

Témata: Computer Science - Computer Vision and Pattern Recognition, I.5.1, text

URL: http://arxiv.org/abs/2401.03806