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Flood early warning systems using machine learning techniques: the case of the Tomebamba catchment at the southern Andes of Ecuador
(2021)
Worldwide, machine learning (ML) is increasingly being used for developing flood early warning systems (FEWSs). However, previous studies have not focused on establishing a methodology for determining the most efficient ...
Real-Time Early Warning System Design For Pluvial Flash Floods—A Review
(Sensors (Switzerland), 2018)
Early warning system for detection of urban pluvial flooding hazard levels in an ungauged basin
(Natural Hazards, 2018)
Early warning mechanism for power system large cascading failures
(IEEE, 2012)
As the interconnection of power grids, failure of single component could propagate out, and because of the scale of the power system, it is almost impossible to analysis all failure patterns. Traditional methods for online ...
Adaptation of a leaf wetness duration model for tomato under Colombian greenhouse conditions
Greenhouse tomato production uses structures that protect
crops from extreme environmental conditions; however, the
climate inside Colombian greenhouses is often not optimal and
crops are susceptible to attack by fungal ...
Overview of current situation & historical background
(CIMMYT, 2021)