Výsledky vyhledávání - "((\"Autoencoder applications\") OR (\"Autoencoder publications\"))"

Denoising Autoencoder for Reconstructing Sensor Observation Data and Predicting Evapotranspiration: Noisy and Missing Values Repair and Uncertainty Quantification.

Autoři: Johnsen, Timothy K. Bi, Xiangyu Chou, Chunwei a další

Zdroj: Water Resources Research; Oct2025, Vol. 61 Issue 10, p1-23, 23p

Témata: EVAPOTRANSPIRATION, AUTOENCODERS, STOCHASTIC analysis, MACHINE learning, HYDROLOGICAL forecasting, NOISE control, TELEMETRY

Feature-Shuffle and Multi-Head Attention-Based Autoencoder for Eliminating Electrode Motion Noise in ECG Applications.

Autoři: Wang, Szu-Ting Hsu, Wen-Yen Lai, Shin-Chi a další

Zdroj: Sensors (14248220); Oct2025, Vol. 25 Issue 20, p6322, 21p

Témata: ELECTROCARDIOGRAPHY, AUTOENCODERS, NOISE, DEEP learning, SIGNAL-to-noise ratio, REAL-time computing, CARDIOVASCULAR disease diagnosis

Unsupervised Classification and Remaining Useful Life Prediction for Turbofan Engines Using Autoencoders and Gaussian Mixture Models: A Comprehensive Framework for Predictive Maintenance.

Autoři: Lodygowski, Tomasz Szrama, Slawomir

Zdroj: Applied Sciences (2076-3417); Jul2025, Vol. 15 Issue 14, p7884, 24p

Témata: REMAINING useful life, TURBOFAN engines, INDUSTRIAL applications, CONDITION-based maintenance, CLUSTER analysis (Statistics), GAUSSIAN mixture models, AUTOENCODERS

Autoencoder-Based Hyperspectral Unmixing with Simultaneous Number-of-Endmembers Estimation.

Autoři: Alshahrani, Atheer Abdullah Bchir, Ouiem Ben Ismail, Mohamed Maher

Zdroj: Sensors (14248220); Apr2025, Vol. 25 Issue 8, p2592, 27p

Témata: CLUSTERING algorithms, AUTOENCODERS, FUZZY algorithms, AUTODIDACTICISM, INDUSTRIAL applications

Autoencoder Application for Artwork Authentication Fingerprinting Using the Craquelure Network.

Autoři: Chirosca, Gianina Radvan, Roxana Pop, Matei a další

Zdroj: Applied Sciences (2076-3417); Aug2025, Vol. 15 Issue 16, p9014, 13p

Témata: ART authentication, DEEP learning, ARTISTIC creation, IMAGE analysis, FEATURE extraction, PATTERN perception, EMBEDDINGS (Mathematics), AUTOENCODERS

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

Detection of outliers in dam monitoring time series with autoencoders

Autoři: Irazábal, Joaquín Salazar, Fernando Silva-Cancino, Nathalia a další

Témata: Àrees temàtiques de la UPC::Enginyeria civil, Outliers, Time series, Autoencoders, Dam monitoring, Machine learning, Article

URL: http://hdl.handle.net/2117/426190
https://link.springer.com/article/10.1007/s13349-025-00910-4
https://link.springer.com/article/10.1007/s13349-025-00910-4
PID2021-122661OB-I00
TED2021-129969B-C33
CEX2018-000797-S

Reconstruction of SMAP Soil Moisture Data Based on Residual Autoencoder Network with Convolutional Feature Extraction.

Autoři: Liu, Yaojie Fan, Haoyu Jin, Yan a další

Zdroj: Remote Sensing; Nov2025, Vol. 17 Issue 22, p3729, 32p

Témata: SOIL moisture, REMOTE sensing, CLIMATE research, FEATURE extraction, AUTOENCODERS, HYDROLOGICAL research, ELECTRONIC data processing, ENVIRONMENTAL research

Geografický termín: CHINA

Lightweight Multi-Class Autoencoder Model for Malicious Traffic Detection in Private 5G Networks.

Autoři: Kim, Jinha Na, Seungjoon Kim, Hwankuk

Zdroj: Applied Sciences (2076-3417); Nov2025, Vol. 15 Issue 22, p12242, 25p

Témata: 5G networks, AUTOENCODERS, SERVICE level agreements, REAL-time computing, RESOURCE allocation, CLASSIFICATION algorithms, COMPUTER network traffic, TRAFFIC monitoring

A Deep Autoencoder Compression-Based Genomic Prediction Method for Whole-Genome Sequencing Data.

Autoři: Song, Hailiang Dong, Tian Wang, Wei a další

Zdroj: Biology (2079-7737); Nov2025, Vol. 14 Issue 11, p1622, 17p

Témata: WHOLE genome sequencing, AUTOENCODERS, ANIMAL breeding, OPTIMIZATION algorithms, DATA compression, DATA structures, ARTIFICIAL intelligence

CE-VAE: Capsule Enhanced Variational AutoEncoder for Underwater Image Enhancement

Autoři: Pucci, R. (Rita) N. Martinel (Niki)

Zdroj: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). :2113-2123

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, 14. Life underwater, Electrical Engineering and Systems Science - Image and Video Processing

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2406.01294
https://repository.naturalis.nl/pub/801145

CResDAE: A Deep Autoencoder with Attention Mechanism for Hyperspectral Unmixing.

Autoři: Zhao, Chong Wang, Jinlin Qiao, Qingqing a další

Zdroj: Remote Sensing; Nov2025, Vol. 17 Issue 21, p3622, 28p

Témata: AUTOENCODERS, GEOLOGICAL surveys, HYPERSPECTRAL imaging systems, SURFACE properties, REMOTE-sensing images, PROSPECTING

A Joint Reconstruction-Triplet Loss Autoencoder Approach Toward Unseen Attack Detection in IoV Networks

Autoři: Julia Boone Tolunay Seyfi Fatemeh Afghah

Zdroj: IEEE Internet of Things Journal. 12:33258-33270

Témata: Computer Science - Networking and Internet Architecture, Networking and Internet Architecture (cs.NI), FOS: Computer and information sciences, Computer Science - Cryptography and Security, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Cryptography and Security (cs.CR)

Přístupová URL adresa: http://arxiv.org/abs/2505.21703

Embedding-Driven Synthetic Malware Generation with Autoencoders and Cluster-Tangent Diffusion.

Autoři: Kapoor, Gunnika Nadipalli, Sathvika Di Troia, Fabio

Zdroj: Applied Sciences (2076-3417); Nov2025, Vol. 15 Issue 21, p11791, 33p

Témata: AUTOENCODERS, MALWARE, GENERATIVE artificial intelligence, EMBEDDINGS (Mathematics), COMPUTER security vulnerabilities

Application and improvement of variational autoencoder (VAE) in construction engineering material cost optimization based on big data

Autoři: Wenhuan Li

Zdroj: Journal of Computational Methods in Sciences and Engineering.

Application of Sparse Autoencoders to Enhance Mechanistic Interpretability of Large Language Models in Medicine (Preprint)

Autoři: Shiv Patil Andre Metzger Mert Karabacak a další

Aero-engines Anomaly Detection using an Unsupervised Fisher Autoencoder

Autoři: Sanami, Saba Aghdam, Amir G.

Témata: Electrical Engineering and Systems Science - Signal Processing, Electrical Engineering and Systems Science - Systems and Control, text

URL: http://arxiv.org/abs/2502.05428

Compressing fluid flows with nonlinear machine learning: mode decomposition, latent modeling, and flow control.

Autoři: Fukagata, Koji Fukami, Kai

Zdroj: Fluid Dynamics Research; Aug2025, Vol. 57 Issue 4, p1-32, 32p

Témata: MACHINE learning, AUTOENCODERS, CONVOLUTIONAL neural networks, LATENT structure analysis, FLUID control, DATA compression, FLUID dynamics

Interpretable Self-Supervised Learning for Fault Identification in Printed Circuit Board Assembly Testing.

Autoři: Islam, Md Rakibul Begum, Shahina Ahmed, Mobyen Uddin

Zdroj: Applied Sciences (2076-3417); Sep2025, Vol. 15 Issue 18, p10080, 21p

Témata: FAULT diagnosis, AUTOENCODERS, GAUSSIAN mixture models, INDUSTRIAL applications, ENGINEERING inspection, PRINTED circuit manufacturing, CLUSTERING algorithms

Dimensionality Reduction Techniques in Big Data and Their Impact on E-Learning.

Autoři: Al-hobishi, Monia Abdullah Ahmed Munassar, Nabil Mohammed Ali

Zdroj: Journal of Science & Technology (1607-2073); 2025, Vol. 30 Issue 7, p13-28, 16p

Témata: DIMENSIONAL reduction algorithms, BIG data, DIGITAL learning, PRINCIPAL components analysis, AUTOENCODERS, CLUSTERING algorithms, ARTIFICIAL intelligence, MACHINE learning