Výsledky vyhledávání - Classified Discrimination Autoencoder

Virtual restoration of ancient mold-damaged paintings based on spectral-guided asymmetric autoencoder for hyperspectral images.

Autoři: Wang, Sa Cen, Yi Qu, Liang a další

Zdroj: npj Heritage Science; 10/23/2025, Vol. 13 Issue 1, p1-20, 20p

Témata: SILK, HYPERSPECTRAL imaging systems, FUNGAL growth, IMAGE reconstruction, AUTOENCODERS, ANCIENT art, SPECTRUM analysis

PhishNetVAE Cybersecurity Approach: An Integrated Variational Autoencoder and Deep Neural Network Approach for Enhancing Cybersecurity Strategies by Detecting Phishing Attacks.

Autoři: Nuiaa Al Ogaili, Riyadh Rahef Mahdi, Mohammed Ibrahim Neamah, Ali Fahem a další

Zdroj: International Journal of Intelligent Engineering & Systems; 2025, Vol. 18 Issue 3, p59-72, 14p

Témata: ARTIFICIAL neural networks, AUTOENCODERS, PHISHING, CYBERTERRORISM, INTERNET security

A novel distributed fine-grained energy consumption monitoring for large-scale nonlinear dynamic industrial processes.

Autoři: Peng, Kaixiang Wei, Yuzhe Li, Tie a další

Zdroj: International Journal of Production Research; Dec2025, Vol. 63 Issue 23, p8727-8742, 16p

Témata: ENERGY consumption, AUTOENCODERS, PROCESS control systems, LONG short-term memory, NONLINEAR mechanics, FEEDBACK control systems, MACHINE learning, DEPENDENCE (Statistics)

Autoencoder-Assisted Stacked Ensemble Learning for Lymphoma Subtype Classification: A Hybrid Deep Learning and Machine Learning Approach.

Autoři: Ogundokun, Roseline Oluwaseun Owolawi, Pius Adewale Tu, Chunling a další

Zdroj: Tomography: A Journal for Imaging Research; Aug2025, Vol. 11 Issue 8, p91, 22p

Témata: AUTOENCODERS, ENSEMBLE learning, DEEP learning, FEATURE extraction, CANCER diagnosis, HISTOPATHOLOGY, MACHINE learning

Unbiased Normalized Ensemble Methodology for Zero‐Shot Structural Damage Detection Using Manifold Learning and Reconstruction Error From Variational Autoencoder.

Autoři: Heravi, Mohammad Ali Naderpour, Hosein Soleimani-Babakamali, Mohammad Hesam a další

Zdroj: Structural Control & Health Monitoring; 7/16/2025, Vol. 2025, p1-17, 17p

Témata: ARTIFICIAL neural networks, STRUCTURAL health monitoring, AUTOENCODERS, LEARNING ability

VJDNet: A Simple Variational Joint Discrimination Network for Cross-Image Hyperspectral Anomaly Detection.

Autoři: Wu, Shiqi Zhang, Xiangrong Wang, Guanchun a další

Zdroj: Remote Sensing; Jul2025, Vol. 17 Issue 14, p2438, 22p

Témata: DEEP learning, HYPERSPECTRAL imaging systems, LATENT variables, OUTLIER detection, DISTRIBUTION (Probability theory)

Graph Embedded Extreme Learning Machine Autoencoder with Multilayer Cyclic Structure.

Autoři: Di Wu ZiHan Chen

Zdroj: Automatic Control & Computer Sciences; Aug2025, Vol. 59 Issue 4, p516-529, 14p

SpaDAMA loss curves for four real datasets.

Autoři: Lin Huang Xiaofei Liu Fangfang Zhu a další

Témata: Molecular Biology, Immunology, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, unified latent representation, thereby reducing discrepancies, model &# 8217, methods often overlook, extracting reliable features, effectively minimize noise, mitigate spatial artifacts, several deconvolution methods, makes precise cell, cell rna sequencing, adversarial masked autoencoder, type composition inference, current spatial transcriptomics, understanding tissue heterogeneity, technologies lack single, 32 simulated datasets, st data spots, st data generated, cell type composition, real st data, spadama leverages domain, spadama , type composition, spatial transcriptomics, type deconvolution

Relation: https://figshare.com/articles/journal_contribution/SpaDAMA_loss_curves_for_four_real_datasets_/29962961

Dostupnost: https://doi.org/10.1371/journal.pcbi.1013354.s006
https://figshare.com/articles/journal_contribution/SpaDAMA_loss_curves_for_four_real_datasets_/29962961

Machine-Learning-Assisted Optimization of Pulse Shape Discrimination in Gadolinium-Loaded Liquid Scintillators for the RENE Experiment.

Autoři: Choi, Ji Young Joo, Kyung Kwang Park, Jubin a další

Zdroj: Progress of Theoretical & Experimental Physics: PTEP; Sep2025, Vol. 2025 Issue 9, p1-17, 17p

Témata: MACHINE learning, LIQUID scintillators, DIMENSIONAL reduction algorithms, SCIENTIFIC experimentation, GADOLINIUM, SIGNAL classification, GAMMA ray spectroscopy, NEUTRON counters

Ranking-enhanced anomaly detection using Active Learning-assisted Attention Adversarial Dual AutoEncoder.

Autoři: Benabderrahmane, Sidahmed Cheney, James Rahwan, Talal

Zdroj: Scientific Reports; 11/24/2025, Vol. 15 Issue 1, p1-42, 42p

Témata: ANOMALY detection (Computer security), ACTIVE learning, AUTOENCODERS, INFORMATION asymmetry, INTERNET security

Autoencoder-based feature extraction for the automatic detection of snow avalanches in seismic data.

Autoři: Simeon, Andri Pérez-Guillén, Cristina Volpi, Michele a další

Zdroj: Geoscientific Model Development; 2025, Vol. 18 Issue 22, p8751-8776, 26p

Témata: AUTOENCODERS, FEATURE extraction, SNOWSTORMS, RANDOM forest algorithms, SEISMIC surveys, MACHINE learning, FORECASTING

Geografický termín: DAVOS (Switzerland)

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

Intelligent Differentiation Framework for Lewy Body Dementia and Alzheimer's Disease Using Adaptive Multi-Cascaded ResNet–Autoencoder–LSTM Network.

Autoři: Sravani, K. RaviSankar, V.

Zdroj: International Journal of Image & Graphics; Nov2025, Vol. 25 Issue 6, p1-30, 31p

Témata: ALZHEIMER'S disease, LEWY body dementia, LONG short-term memory, AUTOENCODERS, MEDICAL care, DEMENTIA, DEEP learning

Autoencoder-Based Poisoning Attack Detection in Graph Recommender Systems.

Autoři: Zhou, Quanqiang Zhao, Xi Zhang, Xiaoyue

Zdroj: Information; Nov2025, Vol. 16 Issue 11, p1004, 34p

Témata: AUTOENCODERS, RECOMMENDER systems, LOSS functions (Statistics), STATISTICS, MACHINE learning

Early identification of out-of-roundness damage wheels in railway freight vehicles using a wayside system and a stacked sparse autoencoder.

Autoři: Jorge, T. Magalhães, J. Silva, R. a další

Zdroj: Vehicle System Dynamics; Feb2025, Vol. 63 Issue 2, p232-257, 26p

Témata: FEATURE extraction, RAILROAD trains, AUTOENCODERS, ARTIFICIAL intelligence, MULTISENSOR data fusion, ROLLING stock

Plantar Pressure-Based Gait Recognition with and Without Carried Object by Convolutional Neural Network-Autoencoder Architecture.

Autoři: Wu, Chin-Cheng Tsai, Cheng-Wei Wu, Fei-En a další

Zdroj: Biomimetics (2313-7673); Feb2025, Vol. 10 Issue 2, p79, 19p

Témata: CONVOLUTIONAL neural networks, AUTOENCODERS, FEATURE extraction

Sparse Regularized Autoencoders-Based Radiomics Data Augmentation for Improved EGFR Mutation Prediction in NSCLC.

Autoři: Munir, Muhammad Asif Shah, Reehan Ali Waheed, Urooj a další

Zdroj: Future Internet; Nov2025, Vol. 17 Issue 11, p495, 23p

Témata: LUNG cancer, EPIDERMAL growth factor receptors, RADIOMICS, AUTOENCODERS, MACHINE learning, ONCOLOGY, DATA augmentation

Condition-Based Maintenance Plus (CBM+) for Single-Board Computers: Accelerated Testing and Precursor Signal Identification.

Autoři: Mun, Gwang-Hyeon Kim, Youngchul Park, Youngmin a další

Zdroj: Applied Sciences (2076-3417); Oct2025, Vol. 15 Issue 20, p11203, 15p

Témata: SINGLE-board computers, ACCELERATED life testing, ARTIFICIAL neural networks, CONDITION-based maintenance, OUTLIER detection, RELIABILITY in engineering

A contrastive autoencoder with multi-resolution segment-consistency discrimination for multivariate time series anomaly detection.

Autoři: Xue, Bing Gao, Xin Zhai, Feng a další

Zdroj: Applied Intelligence; Dec2023, Vol. 53 Issue 23, p28655-28674, 20p

Témata: COMPUTER vision, DATA augmentation, TIME series analysis

Machine learning-assisted techniques for Compton-background discrimination in Broad Energy Germanium (BEGe) detector.

Autoři: Baccolo, G. Barresi, A. Chiesa, D. a další

Zdroj: European Physical Journal C -- Particles & Fields; Mar2025, Vol. 85 Issue 3, p1-14, 14p

Témata: MACHINE learning, GAUSSIAN mixture models, ARTIFICIAL intelligence, IMAGE processing, GERMANIUM, GAMMA ray spectroscopy