A machine learning approach to formation of earthquake categories using hierarchies of magnitude and consequence to guide emergency management

Author:

Atsa’am Donald DouglasORCID,Gbaden Terlumun,Wario Ruth

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Information Systems and Management,Information Systems,Computer Science Applications,Artificial Intelligence,Management Information Systems

Reference25 articles.

1. Clustering of the West African starchy roots and tubers using nutritive value;Atsa’am,2022

2. Hierarchical cluster analysis of the morbidity and mortality of COVID-19 across 206 countries, territories and areas;Atsa’am;Int. J. Med. Eng. Inf.,2022

3. Segmentation of African countries based on infection and death rates of COVID-19 before vaccination: a rigid population to source for workforce amidst the pandemic?;Atsa’am;Sci. Afr.,2022

4. A new terrorism categorization based on casualties and consequences using hierarchical clustering;Atsa’am;J. Appl. Secur. Res.,2020

5. TerrorClassify: an algorithm for terror groups placement into hierarchical categories of casualties and consequences;Atsa’am;J. Appl. Secur. Res.,2020

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