[HTML][HTML] Recent developments in damage identification of structures using data mining

M Gordan, HA Razak, Z Ismail… - Latin American Journal of …, 2017 - SciELO Brasil
Civil structures are usually prone to damage during their service life and it leads them to loss
their serviceability and safety. Thus, damage assessment can guarantee the integrity of …

[HTML][HTML] A neural network aerosol-typing algorithm based on lidar data

D Nicolae, J Vasilescu, C Talianu… - Atmospheric …, 2018 - acp.copernicus.org
Atmospheric aerosols play a crucial role in the Earth's system, but their role is not completely
understood, partly because of the large variability in their properties resulting from a large …

Improving the estimation of daily aerosol optical depth and aerosol radiative effect using an optimized artificial neural network

W Qin, L Wang, A Lin, M Zhang, M Bilal - Remote Sensing, 2018 - mdpi.com
Aerosols can absorb and scatter surface solar radiation (SSR), which is called the aerosol
radiative forcing effect (ARF). Great efforts have been made for the estimation of the aerosol …

Aerosol optical depth forecast over global dust belt based on LSTM, CNN-LSTM, CONV-LSTM and FFT algorithms

N Daoud, M Eltahan… - IEEE EUROCON 2021 …, 2021 - ieeexplore.ieee.org
Aerosols are sources of the uncertainty in the global atmosphere and climate. They have
many critical health, economic and social impacts. In this paper, we assess prediction of …

Vertical aerosol data assimilation technology and application based on satellite and ground lidar: A review and outlook

T Yang, H Li, H Wang, Y Sun, X Chen, F Wang… - Journal of …, 2023 - Elsevier
Observations and numerical models are mainly used to investigate the spatiotemporal
distribution and vertical structure characteristics of aerosols to understand aerosol pollution …

Estimation of the hourly aerosol optical depth from GOCI geostationary satellite data: deep neural network, machine learning, and physical models

JM Yeom, S Jeong, JS Ha, KH Lee… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this study, a new deep learning method was developed to estimate the spatiotemporal
properties of the hourly aerosol optical depth (AOD) because existing physical models are …

Aerosol characterization of Northern China and Yangtze River Delta based on multi-satellite data: Spatiotemporal variations and policy implications

K Luan, Z Cao, S Hu, Z Qiu, Z Wang, W Shen, Z Hong - Sustainability, 2023 - mdpi.com
Horizontal and vertical distributions of aerosol properties in the Taklimakan Desert (TD),
North central region of China (NCR), North China Plain (NCP), and Yangtze River Delta …

Spatial–Temporal Fusion of 10-Min Aerosol Optical Depth Products with the GEO–LEO Satellite Joint Observations

X Xia, T Zhang, L Wang, W Gong, Z Zhu, W Wang… - Remote Sensing, 2023 - mdpi.com
Geosynchronous equatorial orbit (GEO) satellite-derived AOD possesses huge advantages
for monitoring atmospheric aerosol with high frequency; however, the data missing existing …

Data mining technology for structural control systems: concept, development, and comparison

M Gordan, Z Ismail, Z Ibrahim… - Recent Trends in Artificial …, 2019 - books.google.com
Structural control systems are classified into four categories, that is, passive, active, semi-
active, and hybrid systems. These systems must be designed in the best way to control …

A computational method for measuring transport related carbon emissions in a healthcare supply network under mixed uncertainty: an empirical study

M Nasrollahi, J Razmi, R Ghodsi - Promet-Traffic&Transportation, 2018 - hrcak.srce.hr
Sažetak Measuring carbon emissions is an essential step in taking required action to fight
global warming. This research presents a computational method for measuring transport …