Results 121 to 130 of about 4,829,196 (302)

Generative Adversarial Network-based Parameter Optimization (GAN-PO)

<p>Code and datasets for the article: "Learning Distributed Parameters of Land Surface Hydrologic Models Using a Generative Adversarial Network "</p ...
Pan, Baoxiang, Sun, Ruochen, Duan, Qingyun   +2 more
core   +1 more source

Building occupancy modeling using generative adversarial network

, 2018
Due to the energy crisis and the awareness of sustainable development, the research on energy-efficient buildings has increasingly attracted attention.
Chen Zhenghua, Jiang Chaoyang
core   +1 more source

Physical Unclonable Functions From Microwave Metasurface Fingerprints

Advanced Electronic Materials, EarlyView.
Nominally identical metasurfaces fabricated through standard PCB processes inevitably contain microscopic fabrication imperfections. This work demonstrates that these unavoidable electromagnetic deviations can serve as unique physical unclonable fingerprints for wireless authentication.
Guanxiong Shen, Jingyi Liang, Xinyu Li, Kezhan Zhao, Jian Wei You   +4 more
wiley   +1 more source

Stacked capsule autoencoder based generative adversarial network

, 2020
Convolutional neural network based generative adversarial networks have become the dominant generative model in the field of generative deep learning. But limitations of convolutional neural networks affect generative adversarial networks also, since ...
Madhusanka GAC
core  

Coupled Generative Adversarial Networks

CoRR, 2016
We propose coupled generative adversarial network (CoGAN) for learning a joint distribution of multi-domain images. In contrast to the existing approaches, which require tuples of corresponding images in different domains in the training set, CoGAN can learn a joint distribution without any tuple of corresponding images.
Ming-Yu Liu 0001, Oncel Tuzel
openaire   +3 more sources

From Top to Bottom: Manufacturing Process‐Context Aware Resolution of Energy Device Electrodes Through a 3D Diffusion Generative Model

Advanced Energy Materials, EarlyView.
The application of a generative diffusion model, enhanced with a training data augmentation pipeline retaining the manufacturing process context of electrode microstructures, leads to improved fidelity of the through‐plane tortuosity factor in the AI generated samples.
Victor Ramirez‐Camacho, Siwar Ben Hadj Ali, Maxence Desnoyers, Francisco Fernandez, Nassima Benammar, Alejandro A. Franco   +5 more
wiley   +1 more source

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

Generative Adversarial Network-based framework diagram for user behavior data augmentation.

Generative Adversarial Network-based framework diagram for user behavior data augmentation.
Hongkun Xuan (18340173), Jinri Wei (18340170), Jiahui Li (646449), Caiyu Su (18340167), Yuan Lei (3093924)   +4 more
core   +1 more source

Penerapan Style-Based Generative Adversarial Network Untuk Menghasilkan Motif Batik

, 2022
Batik adalah salah satu warisan budaya leluhur bangsa Indonesia, yang terdiri dari berbagai macam pola yang berasal dari berbagai daerah di Indonesia dan telah di diakui oleh UNESCO sebagai salah satu warisan budaya.
Fikri, Wildan Muhammad
core  

Real‐Time Multicolor Fluorescence Microscopy via Cross‐Channel Acquisition and Deep‐Learning‐Based Inference

Advanced Intelligent Discovery, EarlyView.
Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto, Yuxin Jin, Nicholas Roy, Sarthak Misra   +3 more
wiley   +1 more source