Results 61 to 70 of about 2,909,867 (244)

The Importance of Scale for Spatial-Confounding Bias and Precision of Spatial Regression Estimators [PDF]

open access: yes, 2009
Residuals in regression models are often spatially correlated. Prominent examples include studies in environmental epidemiology to understand the chronic health effects of pollutants.
Paciorek, Christopher J.
core   +3 more sources

Optimizing Structural Parameters of a Water Distribution Device in Cylindrical High‐Flowrate Mixed Bed Using Multiobjective Genetic Algorithm

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT High‐flowrate mixed bed is the foremost desalination equipment in the condensate polishing system. The water distribution device determining the water distribution uniformity directly affects its operation stability, output water quality, and service life of the resins.
Jing Zhu   +5 more
wiley   +1 more source

Reliability-based design optimization using kriging surrogates and subset simulation

open access: yes, 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.   +2 more
core   +3 more sources

Patchwork Kriging for Large-scale Gaussian Process Regression

open access: yes, 2017
This paper presents a new approach for Gaussian process (GP) regression for large datasets. The approach involves partitioning the regression input domain into multiple local regions with a different local GP model fitted in each region. Unlike existing local partitioned GP approaches, we introduce a technique for patching together the local GP models ...
Park, Chiwoo, Apley, Daniel
openaire   +3 more sources

A Guide to Bayesian Optimization in Bioprocess Engineering

open access: yesBiotechnology and Bioengineering, EarlyView.
ABSTRACT Bayesian optimization has become widely popular across various experimental sciences due to its favorable attributes: it can handle noisy data, perform well with relatively small data sets, and provide adaptive suggestions for sequential experimentation.
Maximilian Siska   +5 more
wiley   +1 more source

Investigation on the potential of regression kriging for mapping oriental beech forest site productivity in research forest of Tarbiat Modares University [PDF]

open access: yesمجله جنگل ایران, 2018
Forest resources mapping is a prerequisite for sustainable forest management. Site productivity is a key indicator of forest ecosystem services like wood production, carbon sequestration, etc.
Zahra Ahadi   +2 more
doaj  

Integrating Logistic Regression and Geostatistics for User-Oriented and Uncertainty-Informed Accuracy Characterization in Remotely-Sensed Land Cover Change Information

open access: yesISPRS International Journal of Geo-Information, 2016
Accuracy is increasingly recognized as an important dimension in geospatial information and analyses. A strategy well suited for map users who usually have limited information about map lineages is proposed for location-specific characterization of ...
Jingxiong Zhang, Yingying Mei
doaj   +1 more source

Utilization of Multi-Temporal Microwave Remote Sensing Data within a Geostatistical Regionalization Approach for the Derivation of Soil Texture

open access: yesRemote Sensing, 2020
Land Surface Models (LSM) have become indispensable tools to quantify water and nutrient fluxes in support of land management strategies or the prediction of climate change impacts. However, the utilization of LSM requires soil and vegetation parameters,
Philip Marzahn, Swen Meyer
doaj   +1 more source

Review of recent advances in the design, synthesis, and modification of biochar for remediation of heavy metal pollution in water

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Research frontiers in using biochar for heavy metal remediation. Abstract Heavy metal contamination of water has long been a serious environmental issue. Biochar and biochar‐based composites are emerging as effective and sustainable solutions for heavy metal removal due to their strong adsorption abilities and environmentally friendly nature.
Soumik Chakma   +4 more
wiley   +1 more source

Reliability assessment of cutting tool life based on surrogate approximation methods [PDF]

open access: yes, 2014
A novel reliability estimation approach to the cutting tools based on advanced approximation methods is proposed. Methods such as the stochastic response surface and surrogate modeling are tested, starting from a few sample points obtained through ...
Kolios, Athanasios   +1 more
core   +1 more source

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