Early detection of earthquakes using iot and cloud infrastructure: A survey

MS Abdalzaher, M Krichen, D Yiltas-Kaplan… - Sustainability, 2023 - mdpi.com
Earthquake early warning systems (EEWS) are crucial for saving lives in earthquake-prone
areas. In this study, we explore the potential of IoT and cloud infrastructure in realizing a …

[HTML][HTML] Study on effectiveness of regional risk prioritisation in reinforced concrete structures after earthquakes

E Işık, M Hadzima-Nyarko, D Radu, B Bulajić - Applied Sciences, 2024 - mdpi.com
Depending on the characteristics of the existing buildings, earthquakes can cause damage
at different levels and have a significant impact on the environment. The structural damages …

Improving the accuracy of forest aboveground biomass using Landsat 8 OLI images by quantile regression neural network for Pinus densata forests in southwestern …

X Zhang, L Li, Y Liu, Y Wu, J Tang, W Xu… - Frontiers in Forests …, 2023 - frontiersin.org
It is a challenge to reduce the uncertainties of the underestimation and overestimation of
forest aboveground biomass (AGB) which is common in optical remote sensing imagery. In …

A zoning earthquake casualty prediction model based on machine learning

B Li, A Gong, T Zeng, W Bao, C Xu, Z Huang - Remote Sensing, 2021 - mdpi.com
The evaluation of mortality in earthquake-stricken areas is vital for the emergency response
during rescue operations. Hence, an effective and universal approach for accurately …

[HTML][HTML] Evaluating urban environmental quality using multi criteria decision making

H Mahmoudzadeh, A Abedini, F Aram, A Mosavi - Heliyon, 2024 - cell.com
In the urban environment, the quality refers to the capacity that provides and fulfills the
material and spiritual needs of inhabitants. In order to improve the quality of urban life and …

Improved strategy management for WDNs: Integrated prioritization SWOT QSPM (IPSQ) method–Application to passive defense

K Mohammadi - Socio-Economic Planning Sciences, 2023 - Elsevier
Drinking WDNs are one of the most significant infrastructures of the sustainable society. It
will suffer damage during the operation, occurrences of inevitable disasters, terrorist attacks …

The Role of Geospatial Technologies in Disaster Risks Assessments: A Review of Recent Research

H Hashim, IC Hashim, S Abdulah… - … Journal of Business …, 2023 - myjms.mohe.gov.my
Disasters, defined as unpredictable and inevitable natural occurrences, can have
detrimental impacts on societal, economic, environmental, and humanitarian domains …

Identifying obstacles and opportunities of urbanization in the district primate town of Purulia, West Bengal

C Shikary, S Rudra - GeoJournal, 2023 - Springer
The unprecedented growth of population and increasing demand for better urban-related
services lead to the increment of urban-related opportunities as well as obstacles within …

Comparison of QRNN and QRF Models in Forest Biomass Estimation Based on the Screening of VIs Using an Equidistant Quantile Method

X Xu, X Zhang, S Shen, G Zhu - Forests, 2024 - mdpi.com
The investigation of a potential correlation between the filtered-out vegetation index and
forest aboveground biomass (AGB) using the conventional variables screening method is …

[HTML][HTML] Seismic Vulnerability Assessment at an Urban Scale by Means of Machine Learning Techniques

G Ferranti, A Greco, A Pluchino, A Rapisarda, A Scibilia - Buildings, 2024 - mdpi.com
Seismic vulnerability assessment in urban areas would, in principle, require the detailed
modeling of every single building and the implementation of complex numerical …