Sensitivity-based adaptive sequential sampling for metamodel uncertainty reduction in multilevel systems
Sign Up to like & getrecommendations! Published in 2020 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-020-02673-6
Abstract: Decomposition-based technique is often used in the analysis and design of complex engineering systems for reducing the computational complexity by studying the subsystems decomposed from multilevel systems. Metamodels, as a replacement of original simulation models,… read more here.
Keywords: multilevel systems; sequential sampling; uncertainty; sensitivity ... See more keywords
A Fixed-Precision Sequential Sampling Plan for the Potato Tuberworm Moth, Phthorimaea operculella Zeller (Lepidoptera: Gelechidae), on Potato Cultivars
Sign Up to like & getrecommendations! Published in 2017 at "Neotropical Entomology"
DOI: 10.1007/s13744-017-0487-1
Abstract: Phthorimaea operculella Zeller is an important pest of potato in Iran. Spatial distribution and fixed-precision sequential sampling for population estimation of the pest on two potato cultivars, Arinda® and Sante®, were studied in two separate… read more here.
Keywords: sequential sampling; fixed precision; potato; sampling plan ... See more keywords
Distribution pattern and sequential sampling plan for chilli thrips, Scirtothrips dorsalis Hood (Thripidae: Thysanoptera)
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Tropical Insect Science"
DOI: 10.1007/s42690-019-00062-1
Abstract: Spatial distribution and sequential sampling plan for chilli thrips, Scirtothrips dorsalis Hood were analyzed through Taylor’s power law (TPL) and Iwao’s mean crowding regression (IMC) for rainy and summer seasons during 2016–17 on chilli crop.… read more here.
Keywords: sampling plan; plan chilli; distribution; sequential sampling ... See more keywords
Efficient reliability analysis based on adaptive sequential sampling design and cross-validation
Sign Up to like & getrecommendations! Published in 2018 at "Applied Mathematical Modelling"
DOI: 10.1016/j.apm.2018.02.012
Abstract: Abstract Surrogate-models have proven to be an effective strategy for structural systems with expensive-to-evaluate simulations and are very useful for structural reliability analysis. Many kriging model based adaptive sequential sampling methods have been developed recently… read more here.
Keywords: sequential sampling; reliability analysis; based adaptive; reliability ... See more keywords
A combined radial basis function and adaptive sequential sampling method for structural reliability analysis
Sign Up to like & getrecommendations! Published in 2021 at "Applied Mathematical Modelling"
DOI: 10.1016/j.apm.2020.08.042
Abstract: Abstract In this paper, according to the Kriging based reliability analysis method, an efficient sequential sampling method combined with radial basis function is proposed to reduce the modeling complexity of the surrogate model and eliminate… read more here.
Keywords: reliability; sampling method; reliability analysis; sequential sampling ... See more keywords
Economic injury level and sequential sampling plan for Liriomyza huidobrensis management in tomato crops
Sign Up to like & getrecommendations! Published in 2019 at "Crop Protection"
DOI: 10.1016/j.cropro.2019.104848
Abstract: Abstract Decision-making systems, comprised of sampling plans and decision indices, are essential components of integrated pest management (IPM) programs. Sampling plans allow the manager to verify if the pest reached the economic injury level (EIL).… read more here.
Keywords: sampling plan; tomato crops; sequential sampling; sampling ... See more keywords
Multi-factor analysis in language production: Sequential sampling models mimic and extend regression results
Sign Up to like & getrecommendations! Published in 2019 at "Cognitive Neuropsychology"
DOI: 10.1080/02643294.2019.1610371
Abstract: ABSTRACT For multi-factor analyses of response times, descriptive models (e.g., linear regression) arguably constitute the dominant approach in psycholinguistics. In contrast empirical cognitive models (e.g., sequential sampling models, SSMs) may fit fewer factors simultaneously, but… read more here.
Keywords: language production; sequential sampling; regression; multi factor ... See more keywords
Sequential Sampling Plans for Thrips (Thysanoptera: Thripidae) in Soybean Crops With Insecticide Applications Using Tractor or Airplane
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Economic Entomology"
DOI: 10.1093/jee/toad005
Abstract: Abstract Sampling plans are an essential part of integrated pest management programs. Sequential sampling plans enable rapid and low-cost assessment of pest densities. Thrips are emerging pests in soybean crops, and the main method used… read more here.
Keywords: soybean crops; sequential sampling; sampling plans; tractor ... See more keywords
A new sequential sampling method for constructing the high-order polynomial surrogate models
Sign Up to like & getrecommendations! Published in 2018 at "Engineering Computations"
DOI: 10.1108/ec-05-2016-0160
Abstract: Purpose This paper aims to study the sampling methods (or design of experiments) which have a large influence on the performance of the surrogate model. To improve the adaptability of modelling, a new sequential sampling… read more here.
Keywords: order; sequential sampling; surrogate; model ... See more keywords
A Novel Sequential Sampling Algorithm for Reliability Assessment of Microgrids
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3010648
Abstract: Due to the polymorphic uncertainties in microgrids (MGs), prohibitive computational burden is produced in reliability assessment. In this work, a novel sequential sampling algorithm (NSSA) compatible with sequential Monte Carlo (SMC) simulation is developed to… read more here.
Keywords: novel sequential; sampling algorithm; reliability assessment; sequential sampling ... See more keywords
Value-based decision making via sequential sampling with hierarchical competition and attentional modulation
Sign Up to like & getrecommendations! Published in 2017 at "PLoS ONE"
DOI: 10.1371/journal.pone.0186822
Abstract: In principle, formal dynamical models of decision making hold the potential to represent fundamental computations underpinning value-based (i.e., preferential) decisions in addition to perceptual decisions. Sequential-sampling models such as the race model and the drift-diffusion… read more here.
Keywords: sequential sampling; value based; value; attentional modulation ... See more keywords