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Metodologia para calibração de placas de aquisição analógica de merging units usando sampled values
(Florianópolis, SC, 2021-07-22)
No contexto das subestações elétricas digitais, as Merging Units cumprem um importante papel na interface entre os transformadores de instrumentação e os Intelligent
Electronic Devices, IEDs. De forma a manter essa interface ...
A Variational merging approach to the spatial description of environmental variables
(2018)
High resolution images of environmental variables are highly valuable sources of information in research and environmental management. Obtaining spatially continuous information from ground observations is challenging due ...
RF-MEP: A novel random forest method for merging gridded precipitation products and ground-based measurements
(Elsevier, 2020)
The accurate representation of spatio-temporal patterns of precipitation is an essential input for numerous environmental applications. However, the estimation of precipitation patterns derived solely from rain gauges is ...
Modelo de mistura com número de componentes desconhecido: estimação via método split-merge
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Estatística - PPGEs, 2009-11-30)
We propose the split-merge MCMC and birth-split-merge MCMC algorithms to analyse mixture models with an unknown number of components. The strategy for splitting is based on data and posterior distribution. Allocation ...
High-resolution satellite-gauge merged precipitation climatologies of the tropical Andes
(Wiley-Blackwell, 2016-02-09)
Satellite precipitation products are becoming increasingly useful to complement rain gauge networks in regions where these are too sparse to capture spatial precipitation patterns, such as in the Tropical Andes. The Tropical ...
Extending the scope of pooled analyses of individual patient biomarker data from heterogeneous laboratory platforms and cohorts using merging algorithms
(Elsevier B.V., 2016-01-01)
Background: A common challenge in medicine, exemplified in the analysis of biomarker data, is that large studies are needed for sufficient statistical power. Often, this may only be achievable by aggregating multiple ...
Emergence of the Online-Merge-Offline (OMO) Learning Wave in the Post-COVID-19 Era: A Pilot Study
The COVID-19 pandemic revealed the need for new innovative methods to effectively maintain education in times of crisis and uncertainty. This study first presents the Online-Merge- Offline (OMO) learning approach, a way ...
Parallel design the algorithm of digital images segmentation Split & Merge
(Universidad de Los Andes, 2009)