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Early warning systems: The "last mile" of adaptation
(American Geophysical Union, 2012-09)
Recent scientific assessment studies of climate change impacts, including those from the Intergovernmental Panel on Climate Change, provide evidence of the negative effects of climate variability and change on natural and ...
Developing wheat rust early warning systems for South Asia
(CIMMYTCambridge UniversityUK Met Office, 2021)
Developing an early warning system for aquaculture in Bangladesh based on the seasonal forecasting of extreme temperature and rainfall events
(CIMMYT :IRI :WorldFish :Bangladesh Meteorological Department, 2021)
Chapter 7. The climate–security nexus Securing resilient livelihoods through early warning systems and adaptive safety nets
(Cambridge University Press, 2023)
An early warning system for emerging SARS-CoV-2 variants
(Nature, 2022)
The Value of Prehospital Early Warning Scores to Predict in - Hospital Clinical Deterioration: A Multicenter, Observational Base-Ambulance Study
(Taylor & Francis, 2020-09-15)
Objectives: Early warning scores are clinical tools capable of identifying prehospital patients with high risk of deterioration. We sought here to contrast the validity of seven early warning scores in the prehospital ...
Modelo de dados de uma base de conhecimento para Internet Early Warning Systems
(Universidade Federal de Santa MariaBRCiência da ComputaçãoUFSMPrograma de Pós-Graduação em Informática, 2013-03-04)
The popularization of the Internet has provided an increase in the number of web applications
that work with critical information. Parallel to this, attacks that exploit the vulnerabilities
of these applications has also ...
The implementation of the early warning system for the paradigm shift towards efficient and collaborative project managementLa implementación del sistema de alertas tempranas para el cambio de paradigma hacia la gestión eficiente y colaborativa del proyecto
(Pontificia Universidad Católica del Perú, 2020)
Earthquake Early Warning Starting From 3 s of Records on a Single Station With Machine Learning
(American Geophysical Union, 2023-11-02)
We introduce the Ensemble Earthquake Early Warning System (E3WS), a set of Machine Learning (ML) algorithms designed to detect, locate, and estimate the magnitude of an earthquake starting from 3 s of P-waves recorded by ...
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 ...