Results 91 to 100 of about 113,545 (266)

Advances in Kriging-Based Autonomous X-Ray Scattering Experiments. [PDF]

, 2020
Autonomous experimentation is an emerging paradigm for scientific discovery, wherein measurement instruments are augmented with decision-making algorithms, allowing them to autonomously explore parameter spaces of interest.
Doerk, Gregory S, Fukuto, Masafumi, Li, Ruipeng, Noack, Marcus M, Yager, Kevin G   +4 more
core  

Interpolation of ionospheric modalities using kriging, co-kriging and spatio-temporal kriging

, 2018
HF bandında çalışan uzak mesafeli iletişim sistemleri ve navigasyon sistemleri iyonküre içinden geçerken etkileşen sinyaller kullanmaktadırlar. Sistemlerin başarımını artırmak için iyonkürenin hassas olarak modellenmesi önem taşımaktadır. Sinyaller üzerinde oluşan gecikmeler sinyallerin frekansına ve yayılım anında sinyal yolu üzerindeki elektron ...
openaire   +3 more sources

Species‐Specific Genetic Patterns in Sympatric Freshwater Turtles Challenge a Generalized Multi‐Species Conservation Approach

Animal Conservation, EarlyView.
We compared genetic diversity and spatial genetic structure in the snapping turtle (Chelydra serpentina; left panel), Blanding's turtle (Emydoidea blandingii; bottom right), and spotted turtle (Clemmys guttata; top right) sampled in areas of co‐occurrence across ~49,160 km2.
Christina M. Davy, Erica Newton, Niamh Wall, Robert W. Murphy   +3 more
wiley   +1 more source

Reliability-based design optimization using kriging surrogates and subset simulation

, 2011
The aim of the present paper is to develop a strategy for solving reliability-based design optimization (RBDO) problems that remains applicable when the performance models are expensive to evaluate.
Bourinet, J. -M., Dubourg, V., Sudret, B.   +2 more
core   +3 more sources

Structured machine learning modeling to support conservation of deep‐sea benthic biodiversity

Conservation Biology, EarlyView.
Abstract Biodiversity monitoring programs need to deliver accurate, timely, and actionable predictions. To establish a predictive monitoring program for deep‐sea benthos of the Santos Basin, Brazil, we developed a two‐stage structured model that allowed comparison of biodiversity predictions obtained from environmental simulations (2M‐Sim).
Gustavo Fonseca, Danilo C. Vieira, Juliane C. Carneiro, Renato S. Carreira, Milena Ceccopieri, Thais N. Corbisier, Adriana Galindo Dalto, Alberto G. Figueiredo Jr., Fabiane Gallucci, Paula Gheller, Simone Brito de Jesus, Helena Passeri Lavrado, Letícia Lazzari, Eduardo Hilzendeger Marcon, Daniel Leite Moreira, Rafael Bendayan de Moura, Ellen Pape, Ana Cláudia Aoki Santarosa, João Regis dos Santos Filho, Silvia Helena de Mello e Sousa, Thaisa Marques Vicente, Luciana Erika Yaginuma, Cinthia Yamashita, Wandrey Watanabe   +23 more
wiley   +1 more source

COMBINING NEURAL NETWORKS AND GEOSTATISTICS FOR LANDSLIDE HAZARD ASSESSMENT OF SAN SALVADOR METROPOLITAN AREA, EL SALVADOR

Revista de Matemática: Teoría y Aplicaciones, 2017
This contribution describes the creation of a landslide hazard assessment model for San Salvador, a department in El Salvador. The analysis started with an aerial photointerpretation from Ministry of Environment and Natural Resources of El Salvador (MARN
Ricardo Ríos, Alexandre Ribó, Roberto Mejía, Giovanni Molina   +3 more
doaj   +1 more source

Handling Out‐of‐Sample Areas to Estimate the Unemployment Rate at Local Labour Market Areas in Italy

International Statistical Review, EarlyView.
Summary Unemployment rate estimates for small areas are used to efficiently support the distribution of services and the allocation of resources, grants and funding. A Fay–Herriot type model is the most used tool to obtain these estimates. Under this approach out‐of‐sample areas require some synthetic estimates. As the geographical context is extremely
Roberto Benedetti, Federica Piersimoni, Monica Pratesi, Nicola Salvati, Thomas Suesse   +4 more
wiley   +1 more source

Calculation of Probability Maps Directly from Ordinary Kriging Weights [PDF]

Geologia USP. Série Científica, 2010
Probability maps are useful to analyze ores or contaminants in soils and they are helpful to make a decision duringexploration work. These probability maps are usually derived from the indicator kriging approach.
Jorge Kazuo Yamamoto
doaj  

Kriging Surrogate Models for Predicting the Complex Eigenvalues of Mechanical Systems Subjected to Friction-Induced Vibration

Shock and Vibration, 2016
This study focuses on the kriging based metamodeling for the prediction of parameter-dependent mode coupling instabilities. The high cost of the currently used parameter-dependent Complex Eigenvalue Analysis (CEA) has induced a growing need for ...
E. Denimal, L. Nechak, J.-J. Sinou, S. Nacivet   +3 more
doaj   +1 more source

Bayesian analysis of hierarchical multi-fidelity codes [PDF]

, 2012
This paper deals with the Gaussian process based approximation of a code which can be run at different levels of accuracy. This method, which is a particular case of co-kriging, allows us to improve a surrogate model of a complex computer code using fast
Gratiet, Loic Le
core   +2 more sources