Results 121 to 130 of about 222,396 (351)

Multi-class data augmentation for prediction of postpartum hemorrhage using improved ACGAN

Alexandria Engineering Journal
The dataset of primary postpartum hemorrhage (PPH) faces the challenge of insufficient samples, and Generative Adversarial Networks (GANs) have shown considerable promise in addressing the scarcity and imbalance of samples in the diagnosis of PPH ...
Xiaodan Li, Yue Zhou, Fengchun Gao, Di Cheng, Wushan Li, Kaijian Xia, Hongsheng Yin   +6 more
doaj   +1 more source

scPER: A Rigorous Computational Approach to Determine Cellular Subtypes in Tumors Aligned With Cancer Phenotypes From Total RNA Sequencing

Advanced Science, EarlyView.
scPER presents an adversarial‐autoencoder framework that deconvolves bulk total RNA‐seq to quantify tumor‐microenvironment cell types and uncover phenotype‐linked subclusters. Across diverse benchmarks, scPER improves accuracy over existing tools.
Bingrui Li, Xiaobo Zhou, Raghu Kalluri
wiley   +1 more source

A deep generative adversarial network capturing complex spiral waves in disinhibited circuits of the cerebral cortex [PDF]

, 2023
Megan Boucher-Routhier, Jean‐Philippe Thivierge   +1 more
openalex   +1 more source

Deformation Prediction of 4D‐Printed Active Composite Structures Based on Data Mining

Advanced Science, EarlyView.
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, Yifan Xu, Zaiyang Liu, Hidemitsu Furukawa, Zhongkui Wang, Ren Xu, Lin Meng   +6 more
wiley   +1 more source

An integrated inversion framework for heterogeneous aquifer structure identification with single-sample generative adversarial network

, 2022
Chuanjun Zhan, Zhenxue Dai, Javier Samper, Shangxian Yin, Reza Ershadnia, Xiaoying Zhang, Yanwei Wang, Zhijie Yang, Xiaoyan Luan, Mohamad Reza Soltanian   +9 more
openalex   +2 more sources

Exploring efficient and effective generative adversarial network for thermal infrared image colorization [PDF]

, 2023
Yu Chen, Weida Zhan, Yichun Jiang, Depeng Zhu, Xiaoyu Xu, Renzhong Guo   +5 more
openalex   +1 more source

Solid Harmonic Wavelet Bispectrum for Image Analysis

Advanced Science, EarlyView.
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, Mathilda Avirett‐Mackenzie, Carolin Villforth, Georgios Exarchakis   +3 more
wiley   +1 more source

Generative Adversarial Network Models for Augmenting Digit and Character Datasets Embedded in Standard Markings on Ship Bodies [PDF]

, 2023
Abdulkabir Abdulraheem, Jamiu T. Suleiman, Im Y. Jung   +2 more
openalex   +1 more source

Intelligent Sensing: The Emerging Integration of Machine Learning and Soft Sensors Based on Hydrogels and Ionogels

Advanced Science, EarlyView.
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, Rumin Lin, Suixiu Kong, Mengyi Qiang, Lingqi Huang, Bing Dai, Xi Yao, Lei Su, Xueji Zhang   +8 more
wiley   +1 more source

Research on intrusion detection for maritime meteorological sensor network based on balancing generative adversarial network

Tongxin xuebao, 2023
Aiming at the problem that the resources of maritime mobile terminals were limited and the network traffic was imbalanced in the MMSN (maritime meteorological sensor network) environment, which made it difficult to detect network intrusion accurately, a ...
Xin SUN, Guifu ZHANG, Hongyan XING, Wang Zenghui   +3 more
doaj   +2 more sources