Image Processing Computational Algorithms, Multimodal Behavioral Analytics, and Generative Artificial Intelligence and Ambient Scene Detection Tools in Immersive …
The aim of this systematic review is to synthesize and analyze interconnected monitoring
devices, interoperable digital avatars, and employee monitoring software. In this research …
devices, interoperable digital avatars, and employee monitoring software. In this research …
[HTML][HTML] Leveraging internet of things and emerging technologies for earthquake disaster management: Challenges and future directions
Seismology is among the ancient sciences that concentrate on earthquake disaster
management (EQDM), which directly impact human life and infrastructure resilience. Such a …
management (EQDM), which directly impact human life and infrastructure resilience. Such a …
[HTML][HTML] Intelligent automatic operational modal analysis
Operational modal analysis methods have been proven especially useful to identify existing
structures and infrastructures under serviceability conditions. However, the installation of …
structures and infrastructures under serviceability conditions. However, the installation of …
Intelligent recognition of defects in high‐speed railway slab track with limited dataset
X Cai, X Tang, S Pan, Y Wang, H Yan… - … ‐Aided Civil and …, 2024 - Wiley Online Library
During the regular service life of high‐speed railway (HSR), there might be serious defects
in the concrete slabs of the infrastructure systems, which may further significantly affect …
in the concrete slabs of the infrastructure systems, which may further significantly affect …
[HTML][HTML] Damage classification after the 2009 L'Aquila earthquake using multinomial logistic regression and neural networks
Post-earthquake surveys represent a fundamental tool for managing the emergency phase
after a strong earthquake. In Italy, the evaluation of the post-earthquake functionality of …
after a strong earthquake. In Italy, the evaluation of the post-earthquake functionality of …
End‐to‐end generation of structural topology for complex architectural layouts with graph neural networks
Current automated structural topology design methods can only deal with limited design
spaces or simplified architectural layouts for lack of data or a proper representation of …
spaces or simplified architectural layouts for lack of data or a proper representation of …
Broadband ground‐motion synthesis via generative adversarial neural operators: Development and validation
We present a data‐driven framework for ground‐motion synthesis that generates three‐
component acceleration time histories conditioned on moment magnitude (M), rupture …
component acceleration time histories conditioned on moment magnitude (M), rupture …
Smart cities: The role of Internet of Things and machine learning in realizing a data-centric smart environment
This paper explores the concept of smart cities and the role of the Internet of Things (IoT)
and machine learning (ML) in realizing a data-centric smart environment. Smart cities …
and machine learning (ML) in realizing a data-centric smart environment. Smart cities …
[HTML][HTML] Effectiveness of generative ai for post-earthquake damage assessment
JMC Estêvão - Buildings, 2024 - mdpi.com
After an earthquake, rapid assessment of building damage is crucial for emergency
response, reconstruction planning, and public safety. This study evaluates the performance …
response, reconstruction planning, and public safety. This study evaluates the performance …
Diffusion Model for DAS-VSP Data Denoising
Distributed acoustic sensing (DAS) has emerged as a transformational technology for
seismic data acquisition. However, noise remains a major impediment, necessitating …
seismic data acquisition. However, noise remains a major impediment, necessitating …