Results 51 to 60 of about 3,490,280 (180)
On the shores of the Northeast Pacific Coast, research programs have monitored the rocky intertidal zone for multiple decades across thousands of kilometers, ranking among the longest-term and largest-scale ecological monitoring programs in the world ...
Nikolas J. Kaplanis
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A surrogate modeling and adaptive sampling toolbox for computer based design [PDF]
An exceedingly large number of scientific and engineering fields are confronted with the need for computer simulations to study complex, real world phenomena or solve challenging design problems.
Couckuyt, Ivo +4 more
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A design methodology to enable sampling PLLs to synthesise fractional-N frequencies [PDF]
A novel design methodology is proposed to enable sampling phase-locked loops (SPLL) to synthesise fractional-N frequencies. To date, SPLL can only generate integer-N frequencies.
Condon, Marissa +2 more
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Sparse Polynomial Chaos Expansions via Compressed Sensing and D-optimal Design
In the field of uncertainty quantification, sparse polynomial chaos (PC) expansions are commonly used by researchers for a variety of purposes, such as surrogate modeling. Ideas from compressed sensing may be employed to exploit this sparsity in order to
Diaz, Paul +2 more
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Anchorage Community Survey 2007 Survey Sampling Design: Power and Sample Size [PDF]
This working paper documents the power analysis, literature review, and precision considerations contemplated in designing the Anchorage Community Survey’s (ACS) 2007 sampling design.
Evans, Shel Llee
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The design of surveillance strategies is often a compromise between science, feasibility, and available resources, especially when sampling is based at fixed locations, such as slaughter-houses.
Julie M. Stirling +6 more
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Variational Inference for Stochastic Block Models from Sampled Data
This paper deals with non-observed dyads during the sampling of a network and consecutive issues in the inference of the Stochastic Block Model (SBM).
Barbillon, Pierre +2 more
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Environmental DNA (eDNA) metabarcoding surveys can support the acquisition of extensive biodiversity data to support ecosystem monitoring and conservation actions.
Kira‐Lee Courtaillac +3 more
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The Network Nullspace Property for Compressed Sensing of Big Data over Networks
We present a novel condition, which we term the net- work nullspace property, which ensures accurate recovery of graph signals representing massive network-structured datasets from few signal values.
Hulsebos, Madelon, Jung, Alexander
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A Near-Optimal Sampling Strategy for Sparse Recovery of Polynomial Chaos Expansions
Compressive sampling has become a widely used approach to construct polynomial chaos surrogates when the number of available simulation samples is limited.
Alemazkoor, Negin, Meidani, Hadi
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