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Spatial Prediction and Optimized Sampling Design for Sodium Concentration in Groundwater

PloS one, 2016-09, Vol.11 (9), p.e0161810-e0161810

2016

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Assessing the impacts of temperature extremes on agriculture yield and projecting future extremes using machine learning and deep learning approaches with CMIP6 data

International journal of applied earth observation and geoinformation, 2024-08, Vol.132, p.104071, Article 104071

2024

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Classifying Image Stacks of Specular Silicon Wafer Back Surface Regions: Performance Comparison of CNNs and SVMs

Sensors (Basel, Switzerland), 2019-05, Vol.19 (9), p.2056

2019

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Evaluation of Bayesian classifiers in asthma exacerbation prediction after medication discontinuation

BMC research notes, 2018-07, Vol.11 (1), p.522-522, Article 522

2018

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A new bivariate Gamma distribution generated from functional scale parameter with application to drought data

Stochastic environmental research and risk assessment, 2013-07, Vol.27 (5), p.1039-1054

2013

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Classifying defects in topography images of silicon wafers

2017 Winter Simulation Conference (WSC), 2017, p.3646-3657

2017

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On the performance of a new bivariate pseudo Pareto distribution with application to drought data

Stochastic environmental research and risk assessment, 2012-10, Vol.26 (7), p.925-945

2012

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Association of precipitation extremes and crops production and projecting future extremes using machine learning approaches with CMIP6 data

Environmental science and pollution research international, 2024-09, Vol.31 (42), p.54979-54999

2024

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A novel approach for modelling pattern and spatial dependence structures between climate variables by combining mixture models with copula models

International journal of climatology, 2020-02, Vol.40 (2), p.1049-1066

2020

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Spatial sampling design based on spectral approximations to the random field

Environmental modelling & software : with environment data news, 2012-07, Vol.33, p.48-60

Spöck, Gunter

2012

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A cyber-physical environment for detecting exceptional and dangerous human behavior in the home by sensors and its verification by computer simulation

Adaptive behavior, 2021-12, Vol.29 (6), p.579-600

2021

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Why do we need and how should we implement Bayesian kriging methods

Stochastic environmental research and risk assessment, 2008-08, Vol.22 (5), p.621-632

2008

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Spatio-temporal interpolation of precipitation during monsoon periods in Pakistan

Advances in water resources, 2010-08, Vol.33 (8), p.880-886

2010

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Detecting Star Cracks in Topography Images of Specular Back Surfaces of Structured Wafers

2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA), 2018, p.406-412

2018

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A Bayesian Logistic Regression approach in Asthma Persistence Prediction

Epidemiology, biostatistics, and public health, 2018-01, Vol.15 (1)

2018

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Spatial sampling design and covariance-robust minimax prediction based on convex design ideas

Stochastic environmental research and risk assessment, 2010-03, Vol.24 (3), p.463-482

2010

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Optimal design of experiments for semiconductor lifetime data

Proceedings of the 2013 9th Conference on Ph.D. Research in Microelectronics and Electronics (PRIME), 2013, p.285-288

2013

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Spatial sampling design based on convex design ideas and using external drift variables for a rainfall monitoring network in Pakistan

Statistical methodology, 2012, Vol.9 (1), p.195-210

2012

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Some advances in Bayesian spatial prediction and sampling design

Spatial statistics, 2012-05, Vol.1, p.65-81

2012

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Incorporating covariance estimation uncertainty in spatial sampling design for prediction with trans-Gaussian random fields

Frontiers in environmental science, 2015-05, Vol.3

2015

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Analysis of Areal and Spatial Interaction Data

International Encyclopedia of Statistical Science, 2011, Vol.1, p.35-39

2011

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Classifying defects in topography images of silicon wafers

Proceedings of the 2017 Winter Simulation Conference, 2017, p.1-12

2017

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Spatial Sampling Design and Soil Science

Spöck, Gunter

2011

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Spatial sampling design by means of spectral approximations to the error process

Spatio-Temporal Design, 2012, p.72-102

2012

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Analysis of Areal and Spatial Interaction Data

International Encyclopedia of Statistical Science, p.35-39

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Spatial Prediction and Optimized Sampling Design for Sodium Concentration in Groundwater

Assessing the impacts of temperature extremes on agriculture yield and projecting future extremes using machine learning and deep learning approaches with CMIP6 data

Classifying Image Stacks of Specular Silicon Wafer Back Surface Regions: Performance Comparison of CNNs and SVMs

Evaluation of Bayesian classifiers in asthma exacerbation prediction after medication discontinuation

A new bivariate Gamma distribution generated from functional scale parameter with application to drought data

Classifying defects in topography images of silicon wafers

On the performance of a new bivariate pseudo Pareto distribution with application to drought data

Association of precipitation extremes and crops production and projecting future extremes using machine learning approaches with CMIP6 data

A novel approach for modelling pattern and spatial dependence structures between climate variables by combining mixture models with copula models

Spatial sampling design based on spectral approximations to the random field

A cyber-physical environment for detecting exceptional and dangerous human behavior in the home by sensors and its verification by computer simulation

Why do we need and how should we implement Bayesian kriging methods

Spatio-temporal interpolation of precipitation during monsoon periods in Pakistan

Detecting Star Cracks in Topography Images of Specular Back Surfaces of Structured Wafers

A Bayesian Logistic Regression approach in Asthma Persistence Prediction

Spatial sampling design and covariance-robust minimax prediction based on convex design ideas

Optimal design of experiments for semiconductor lifetime data

Spatial sampling design based on convex design ideas and using external drift variables for a rainfall monitoring network in Pakistan

Some advances in Bayesian spatial prediction and sampling design

Incorporating covariance estimation uncertainty in spatial sampling design for prediction with trans-Gaussian random fields

Analysis of Areal and Spatial Interaction Data

Classifying defects in topography images of silicon wafers

Spatial Sampling Design and Soil Science

Spatial sampling design by means of spectral approximations to the error process

Analysis of Areal and Spatial Interaction Data

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