A literature review: Generative adversarial networks for civil structural health monitoring
Structural Health Monitoring (SHM) of civil structures has been constantly evolving with
novel methods, advancements in data science, and more accessible technology to address …
novel methods, advancements in data science, and more accessible technology to address …
Self-supervised learning for electroencephalography
Decades of research have shown machine learning superiority in discovering highly
nonlinear patterns embedded in electroencephalography (EEG) records compared with …
nonlinear patterns embedded in electroencephalography (EEG) records compared with …
Iterative application of generative adversarial networks for improved buried pipe detection from images obtained by ground‐penetrating radar
PJ Chun, M Suzuki, Y Kato - Computer‐Aided Civil and …, 2023 - Wiley Online Library
Ground‐penetrating radar (GPR) is widely used to determine the location of buried pipes
without excavation, and machine learning has been researched to automatically identify the …
without excavation, and machine learning has been researched to automatically identify the …
Deep convolutional generative adversarial networks for the generation of numerous artificial spectrum‐compatible earthquake accelerograms using a limited number …
Deep learning (DL) methodologies have been recently employed to solve various civil and
earthquake engineering problems. Nevertheless, due to the limited number of reliable data …
earthquake engineering problems. Nevertheless, due to the limited number of reliable data …
Perceptual metric-guided human image generation
H Wu, F He, Y Duan, X Yan - Integrated Computer-Aided …, 2022 - content.iospress.com
Pose transfer, which synthesizes a new image of a target person in a novel pose, is valuable
in several applications. Generative adversarial networks (GAN) based pose transfer is a new …
in several applications. Generative adversarial networks (GAN) based pose transfer is a new …
Development of a moving vehicle identification framework using structural vibration response and deep learning algorithms
F Ni, J Zhang, E Taciroglu - Mechanical Systems and Signal Processing, 2023 - Elsevier
The accurate identification of vehicle position, velocity, and mass on bridges is crucial in the
field of structural health monitoring (SHM). Existing methods for moving vehicle identification …
field of structural health monitoring (SHM). Existing methods for moving vehicle identification …
A method based on evolutionary algorithms and channel attention mechanism to enhance cycle generative adversarial network performance for image translation
A Generative Adversarial Network (GAN) can learn the relationship between two image
domains and achieve unpaired image-to-image translation. One of the breakthroughs was …
domains and achieve unpaired image-to-image translation. One of the breakthroughs was …
Swarm-fhe: fully homomorphic encryption-based swarm learning for malicious clients
Swarm Learning (SL) is a promising approach to perform the distributed and collaborative
model training without any central server. However, data sensitivity is the main concern for …
model training without any central server. However, data sensitivity is the main concern for …
Feasibility of energy harvesting from vertical pedestrian‐induced vibrations of footbridges for smart monitoring applications
The present work is meant at contributing to the innovation of the current methodologies for
pedestrian bridge monitoring. Specifically, the use of vibrational energy harvesters for self …
pedestrian bridge monitoring. Specifically, the use of vibrational energy harvesters for self …
Coloring and fusing architectural sketches by combining a Y‐shaped generative adversarial network and a denoising diffusion implicit model
L Zhao, D Song, W Chen, Q Kang - Computer‐Aided Civil and …, 2024 - Wiley Online Library
Sketch‐based architectural design tasks require considerable time and effort. However,
developing an artificial intelligence agent to color and fuse architectural sketches is …
developing an artificial intelligence agent to color and fuse architectural sketches is …