Image Processing Computational Algorithms, Multimodal Behavioral Analytics, and Generative Artificial Intelligence and Ambient Scene Detection Tools in Immersive …

M Poliak, A Poliakova, G Lăzăroiu - … Readings in Law and Social Justice, 2023 - ceeol.com
The aim of this systematic review is to synthesize and analyze interconnected monitoring
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

MS Abdalzaher, M Krichen, F Falcone - Progress in Disaster Science, 2024 - Elsevier
Seismology is among the ancient sciences that concentrate on earthquake disaster
management (EQDM), which directly impact human life and infrastructure resilience. Such a …

[HTML][HTML] Intelligent automatic operational modal analysis

MM Rosso, A Aloisio, J Parol, GC Marano… - … Systems and Signal …, 2023 - Elsevier
Operational modal analysis methods have been proven especially useful to identify existing
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 …

[HTML][HTML] Damage classification after the 2009 L'Aquila earthquake using multinomial logistic regression and neural networks

A Aloisio, MM Rosso, AM De Leo, M Fragiacomo… - International journal of …, 2023 - Elsevier
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 …

End‐to‐end generation of structural topology for complex architectural layouts with graph neural networks

C Zhang, MX Tao, C Wang… - Computer‐Aided Civil and …, 2024 - Wiley Online Library
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 …

Broadband ground‐motion synthesis via generative adversarial neural operators: Development and validation

Y Shi, G Lavrentiadis, D Asimaki… - Bulletin of the …, 2024 - pubs.geoscienceworld.org
We present a data‐driven framework for ground‐motion synthesis that generates three‐
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

A Ullah, SM Anwar, J Li, L Nadeem, T Mahmood… - Complex & Intelligent …, 2024 - Springer
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 …

[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 …

Diffusion Model for DAS-VSP Data Denoising

D Zhu, L Fu, V Kazei, W Li - Sensors, 2023 - mdpi.com
Distributed acoustic sensing (DAS) has emerged as a transformational technology for
seismic data acquisition. However, noise remains a major impediment, necessitating …