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Big data in maritime archaeology: challenges and prospects from the Middle East and North Africa
ABSTRACT The Middle East and North Africa have witnessed a surfeit of geospatial data
collection projects, resulting in big databases with powerful deductive capacities. Despite …
collection projects, resulting in big databases with powerful deductive capacities. Despite …
An improved typhoon risk model coupled with mitigation capacity and its relationship to disaster losses
F Liu, E Xu, H Zhang - Journal of Cleaner Production, 2022 - Elsevier
Typhoons are among the most dangerous meteorological events, and they frequently cause
human fatalities and significant economic loss. An accurate estimation of typhoon disaster …
human fatalities and significant economic loss. An accurate estimation of typhoon disaster …
Investigating the role of the key conditioning factors in flood susceptibility map** through machine learning approaches
KM Al-Kindi, Z Alabri - Earth Systems and Environment, 2024 - Springer
This study harnessed the formidable predictive capabilities of three state-of-the-art machine
learning models—extreme gradient boosting (XGB), random forest (RF), and CatBoost (CB) …
learning models—extreme gradient boosting (XGB), random forest (RF), and CatBoost (CB) …
Programmable synthesis of organic cages with reduced symmetry
Integrating symmetry-reducing methods into self-assembly methodology is desirable to
efficiently realise the full potential of molecular cages as hosts and catalysts. Although …
efficiently realise the full potential of molecular cages as hosts and catalysts. Although …
Navigating cyclone threats: A forecast approach using water streams' physical characteristics as an indicator to predict high risk potential areas in the Sultanate of …
Tropical cyclone is a natural disaster phenomenon that is considered one of the main
challenges for human populations in many countries across the globe. This study …
challenges for human populations in many countries across the globe. This study …
A large-group dynamic decision-making method for assessing storm surge emergency plans under hybrid information
C Zhang, M Huang, J Gu, Y Ye, S Zeng - Expert Systems with Applications, 2023 - Elsevier
Storm surges are natural disasters that cause abnormal fluctuations in seawater owing to
severe atmospheric disturbances. Storm surges have the characteristics of a fierce, fast and …
severe atmospheric disturbances. Storm surges have the characteristics of a fierce, fast and …
Geospatial modelling of post-cyclone Shaheen recovery using nighttime light data and MGWR
Tropical cyclones are a highly destructive natural hazard that can cause extensive damage
to assets and loss of life. This is especially true for the many coastal cities and communities …
to assets and loss of life. This is especially true for the many coastal cities and communities …
Assessing tropical cyclone risk for improving mitigation strategies in Coastal Odisha, India
Tropical cyclone causes large-scale devastation and destruction in the coastal plains of
India, particularly in Odisha, which is the most cyclone-affected state in the country. Tropical …
India, particularly in Odisha, which is the most cyclone-affected state in the country. Tropical …
Coastal vulnerability assessment for the coast of Tamil Nadu, India—a geospatial approach
A coastal region is a section of land that borders a significant body of water, often the sea or
ocean. Despite their productivity, they are sensitive to even little alterations in the outside …
ocean. Despite their productivity, they are sensitive to even little alterations in the outside …
[HTML][HTML] Multi-criterion analysis of cyclone risk along the coast of Tamil Nadu, India—a geospatial approach
A tropical cyclone is a significant natural phenomenon that results in substantial socio-
economic and environmental damage. These catastrophes impact millions of people every …
economic and environmental damage. These catastrophes impact millions of people every …