Results 121 to 130 of about 221,929 (334)
Generative adversarial synthetic neighbors-based unsupervised anomaly detection
Anomaly detection is crucial for the stable operation of mechanical systems, securing financial transactions, and ensuring network security, among other critical areas.
Lan Chen +6 more
doaj +1 more source
Multi-Source Medical Image Fusion Based on Wasserstein Generative Adversarial Networks
In this paper, we propose the medical Wasserstein generative adversarial networks (MWGAN), an end-to-end model, for fusing magnetic resonance imaging (MRI) and positron emission tomography (PET) medical images.
Zhiguang Yang +4 more
doaj +1 more source
A deep generative adversarial network capturing complex spiral waves in disinhibited circuits of the cerebral cortex [PDF]
Megan Boucher-Routhier +1 more
openalex +1 more source
Deformation Prediction of 4D‐Printed Active Composite Structures Based on Data Mining
A curvature‐driven sequence point generation (CSPG) algorithm based on data mining is proposed to predict the deformation of double‐layer voxelized composite structures of arbitrary lengths. In addition, the CSPG algorithm is applied to predict the deformation of 2D and 3D structures assembled from beam elements, and its effectiveness is validated ...
Mengtao Wang +6 more
wiley +1 more source
Exploring efficient and effective generative adversarial network for thermal infrared image colorization [PDF]
Yu Chen +5 more
openalex +1 more source
Solid Harmonic Wavelet Bispectrum for Image Analysis
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown +3 more
wiley +1 more source
Cardiac disease diagnosis based on GAN in case of missing data.
In daily life, two common algorithms are used for collecting medical disease data: data integration of medical institutions and questionnaires. However, these statistical methods require collecting data from the entire research area, which consumes a ...
Xing Chen +8 more
doaj +1 more source
Generative Adversarial Network Models for Augmenting Digit and Character Datasets Embedded in Standard Markings on Ship Bodies [PDF]
Abdulkabir Abdulraheem +2 more
openalex +1 more source
By integrating with machine learning (ML), hydrogel‐ and ionogel‐based soft sensors are gaining human brain‐like capabilities to perceive, learn, and predict. This review summarizes their advances, focusing on ML‐powered applications such as handwriting/gesture/object/motion/speech recognition, health monitoring, food detection, and beyond.
Wenqing He +8 more
wiley +1 more source

