Artificial neural network approaches for disaster management: A literature review
Disaster management (DM) is one of the leading fields that deal with the humanitarian
aspects of emergencies. The field has attracted researchers because of its ever-increasing …
aspects of emergencies. The field has attracted researchers because of its ever-increasing …
A stacking-based ensemble learning method for earthquake casualty prediction
S Cui, Y Yin, D Wang, Z Li, Y Wang - Applied Soft Computing, 2021 - Elsevier
The estimation of the loss and prediction of the casualties in earthquake-stricken areas are
vital for making rapid and accurate decisions during rescue efforts. The number of casualties …
vital for making rapid and accurate decisions during rescue efforts. The number of casualties …
Use of OR in earthquake operations management: A review of the literature and roadmap for future research
To reduce human losses and minimize social and economic disruption caused by large-
scale earthquakes, effective planning and operational decisions need to be made by …
scale earthquakes, effective planning and operational decisions need to be made by …
A discrete-event simulation model of hospital patient flow following major earthquakes
Following a major disaster, hospitals must promptly rearrange their organization and
treatment procedures to deal with the sudden arrival of a high number of injured people to …
treatment procedures to deal with the sudden arrival of a high number of injured people to …
Forecasting the number of the wounded after an earthquake disaster based on the continuous interval grey discrete verhulst model
J Zhang, T Wang, J Chang… - Discrete Dynamics in …, 2021 - Wiley Online Library
Earthquake disaster causes serious casualties, so the prediction of casualties is conducive
to the reasonable and efficient allocation of emergency relief materials, which plays a …
to the reasonable and efficient allocation of emergency relief materials, which plays a …
Deep learning forecasting of large induced earthquakes via precursory signals
Precursory phenomena to earthquakes have always attracted researchers' attention. Among
the most investigated precursors, foreshocks play a key role. However, their prompt …
the most investigated precursors, foreshocks play a key role. However, their prompt …
A multi-method patient arrival forecasting outline for hospital emergency departments
Patient arrivals at the emergency department (ED) of hospitals has an unpredictable
behavior. So that, adequate forecasting of this process can serve a management baseline to …
behavior. So that, adequate forecasting of this process can serve a management baseline to …
Emergency department network under disaster conditions: The case of possible major Istanbul earthquake
Emergency departments (EDs) provide health care services to people in need of urgent
care. Their role is remarkable when extraordinary events that affect the public, such as …
care. Their role is remarkable when extraordinary events that affect the public, such as …
A spatial evaluation method for earthquake disaster using optimized BP neural network model
H Zhou, A Che, X Shuai, Y Zhang - Geomatics, Natural Hazards …, 2023 - Taylor & Francis
Rapid spatial evaluation of seismic disaster after earthquake occurrence is required in
disaster emergency rescue management, because of its importance in decreasing …
disaster emergency rescue management, because of its importance in decreasing …
A zoning earthquake casualty prediction model based on machine learning
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 …
during rescue operations. Hence, an effective and universal approach for accurately …