Results 81 to 90 of about 5,065 (216)

An abnormal traffic detection method for chain information management system network based on convolutional neural network

Frontiers in Physics
Chain information management system is widely used, providing convenience for the operation and management of enterprises. However, the problem of abnormal network traffic becomes increasingly prominent currently.
Chao Liu, Chunxiang Liu, Changrong Liu
doaj   +1 more source

A Neural Operator Emulator for Coastal and Riverine Shallow Water Dynamics

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Coastal regions and river floodplains are particularly vulnerable to the impacts of extreme weather events. Accurate real‐time forecasting of hydrodynamic processes in these areas is essential for infrastructure planning and climate adaptation.
Peter Rivera‐Casillas, Sourav Dutta, Shukai Cai, Mark Loveland, Kamaljyoti Nath, Khemraj Shukla, Corey Trahan, Jonghyun Lee, Matthew Farthing, Clint Dawson   +9 more
wiley   +1 more source

Self‐Supervised Radar Nowcasting of Typhoon Cloud Evolution

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Self‐supervised learning (SSL) provides an innovative paradigm for pretraining without involving any new data or labels. However, its potential has not yet been evaluated in the field of typhoon raincloud nowcasting. Therefore, we explore two different SSL approaches: autoencoder (AE) and masked autoencoder (MAE).
Hongyi Yao, Ji Chen, Yi Lu, Xunlai Chen, Wai‐kin Wong, Chao Tan, Hongxu Zhu, Xianqi Jiang   +7 more
wiley   +1 more source

Multi-View Spectral Clustering via ELM-AE Ensemble Features Representations Learning

IEEE Access, 2020
Spectral cluster based on multi-view data has proven effective for clustering multi-source real-world data because consensus and complementary information of multi-view data ensure the result of clustering.
Lijuan Wang, Shifei Ding
doaj   +1 more source

Localization of Spatiotemporally Heterogeneous Subsurface Flows Using Autoencoder‐Based Deep Learning Framework for Time‐Lapse Self‐Potential Tomography

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Self‐potential (SP) monitoring has emerged as a valuable method for characterizing subsurface hydrogeological features and processes due to its sensitivity to fluid‐induced electrokinetic effects. Despite advancements in SP inversion, challenges remain in imaging groundwater dynamics from SP activities due to complex hydrological settings and ...
Huichao Yin, Scott J. Ikard, Dale F. Rucker, Scott C. Brooks, Zhenxue Dai, Mohamad Reza Soltanian, Kenneth C. Carroll   +6 more
wiley   +1 more source

WOT-AE: Weighted Optimal Transport Autoencoder for Patterned Fabric Defect Detection

Symmetry
Patterned fabrics are characterized by strong periodic and symmetric structures, and defect detection in such materials is essentially the task of identifying local disruptions of global texture symmetry. Conventional low-rank decomposition methods separate defect-free regions as low-rank and defects as sparse components, yet singular value ...
Hui Yang, Linyan Kang, Tianjin Yang
openaire   +1 more source

Comparative analysis of autoencoder architectures for breast cancer detection using dynamic infrared thermography

Engineering Science and Technology, an International Journal
Breast cancer is the most diagnosed cancer among women worldwide. Early detection substantially improves treatment outcomes, especially when lesions are small and localized.
Burcu Acar Demirci, Mehmet Engin, Erkan Zeki Engin   +2 more
doaj   +1 more source

Intelligent Fault Diagnosis of Gas Pressure Regulator Based on AE-GWO-SVM Algorithm

Automation
A pressure regulator is essential for pressure control in a gas transmission system. The traditional maintenance approaches for pressure regulators involve equipment disassembly that disrupts normal production.
Shunyuan Hu, Zhixiang Dai, Keqing Zhang, Jingjian Liu, Qing Wen, Yanhua Qiu, Weidong Li   +6 more
doaj   +1 more source

A Subspace Projection Approach to Autoencoder-based Anomaly Detection

, 2023
Autoencoder (AE) is a neural network (NN) architecture that is trained to reconstruct an input at its output. By measuring the reconstruction errors of new input samples, AE can detect anomalous samples deviated from the trained data distribution.
Adarsh, Park, Jihong, Japesh, Abhinav, Choi, Jinho   +3 more
core  

Investigation of an Optimized Linear Regression Model with Nonlinear Error Compensation for Tool Wear Prediction

Machines
To solve the problem of insufficient accuracy in tool wear process modeling and Remaining Useful Life (RUL) estimation, this study proposes a two-stage prediction method.
Lihua Shen, Baorui Du, He Fan, Hailong Yang   +3 more
doaj   +1 more source