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A focused simulation-based optimization of print time and material usage with respect to orientation, layer height and support settings for multi-pathological anatomical models in inverted vat photopolymerization 3D printing

3D printing in medicine, 2021-08, Vol.7 (1), p.23-23, Article 23

2021

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Preface: Data mining and decision analytics

Annals of operations research, 2021-08, Vol.303 (1-2), p.1-3

2021

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Bootstrap-Based T2 Multivariate Control Charts

Communications in statistics. Simulation and computation, 2011-05, Vol.40 (3-5), p.645-662

2011

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A decision-making framework for adaptive pain management

Health care management science, 2014-09, Vol.17 (3), p.270-283

2014

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Principal component analysis-based control charts for multivariate nonnormal distributions

Expert systems with applications, 2013-06, Vol.40 (8), p.3044-3054

2013

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Preface: Data mining and analytics

Annals of operations research, 2018-04, Vol.263 (1-2), p.1-3

2018

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A data-integrated simulation model to evaluate nurse–patient assignments

Health care management science, 2009-09, Vol.12 (3), p.252-268

2009

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A Linear Program for System-Level Control of Regional PHEV Charging Stations

IEEE transactions on industry applications, 2016-05, Vol.52 (3), p.2046-2052

2016

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Global optimization of non-convex piecewise linear regression splines

Journal of global optimization, 2017-07, Vol.68 (3), p.563-586

2017

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Data-driven optimization for Dallas Fort Worth International Airport deicing activities

Annals of operations research, 2018-04, Vol.263 (1-2), p.361-384

2018

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A data-integrated simulation-based optimization for assigning nurses to patient admissions

Health care management science, 2010-09, Vol.13 (3), p.210-221

2010

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Mixed Integer Linear Programming Models for Selecting Ground-Level Ozone Control Strategies

Environmental modeling & assessment, 2014-12, Vol.19 (6), p.503-514

2014

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Special volume on Data Mining

Annals of operations research, 2010-02, Vol.174 (1), p.1-2

Chen, Victoria C. P.

2010

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Addressing state space multicollinearity in solving an ozone pollution dynamic control problem

European journal of operational research, 2021-03, Vol.289 (2), p.683-695

2021

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Efficient computer experiment-based optimization through variable selection

Annals of operations research, 2014-05, Vol.216 (1), p.287-305

2014

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Enhancing anaerobic oxidation of methane in municipal solid waste landfill cover soil

Waste management (Elmsford), 2020-04, Vol.106, p.44-54

2020

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Linear Programming for Multi-Agent Demand Response

IEEE access, 2019, Vol.7, p.181479-181490

2019

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Prediction of Vacuum Ultraviolet/Ultraviolet Gas-Phase Absorption Spectra Using Molecular Feature Representations and Machine Learning

Journal of chemical information and modeling, 2024-07, Vol.64 (14), p.5547-5556

2024

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Fast knot optimization for multivariate adaptive regression splines using hill climbing methods

Expert systems with applications, 2021-06, Vol.171, p.114565, Article 114565

2021

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A systematic evaluation of medical 3D printing accuracy of multi‐pathological anatomical models for surgical planning manufactured in elastic and rigid material using desktop inverted vat photopolymerization

Medical physics (Lancaster), 2021-06, Vol.48 (6), p.3223-3233

2021

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A Density-focused Support Vector Data Description Method

Quality and reliability engineering international, 2014-10, Vol.30 (6), p.879-890

2014

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Neural network and regression spline value function approximations for stochastic dynamic programming

Computers & operations research, 2007, Vol.34 (1), p.70-90

2007

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Adaptive value function approximation for continuous-state stochastic dynamic programming

Computers & operations research, 2013-04, Vol.40 (4), p.1076-1084

2013

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A Decision-Making Framework for Ozone Pollution Control

Operations research, 2009-03, Vol.57 (2), p.484-498

2009

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Efficient approximate dynamic programming based on design and analysis of computer experiments for infinite-horizon optimization

Computers & operations research, 2020-12, Vol.124, p.105032, Article 105032

2020

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A focused simulation-based optimization of print time and material usage with respect to orientation, layer height and support settings for multi-pathological anatomical models in inverted vat photopolymerization 3D printing

Preface: Data mining and decision analytics

Bootstrap-Based T2 Multivariate Control Charts

A decision-making framework for adaptive pain management

Principal component analysis-based control charts for multivariate nonnormal distributions

Preface: Data mining and analytics

A data-integrated simulation model to evaluate nurse–patient assignments

A Linear Program for System-Level Control of Regional PHEV Charging Stations

Global optimization of non-convex piecewise linear regression splines

Data-driven optimization for Dallas Fort Worth International Airport deicing activities

A data-integrated simulation-based optimization for assigning nurses to patient admissions

Mixed Integer Linear Programming Models for Selecting Ground-Level Ozone Control Strategies

Special volume on Data Mining

Addressing state space multicollinearity in solving an ozone pollution dynamic control problem

Efficient computer experiment-based optimization through variable selection

Enhancing anaerobic oxidation of methane in municipal solid waste landfill cover soil

Linear Programming for Multi-Agent Demand Response

Prediction of Vacuum Ultraviolet/Ultraviolet Gas-Phase Absorption Spectra Using Molecular Feature Representations and Machine Learning

Fast knot optimization for multivariate adaptive regression splines using hill climbing methods

A systematic evaluation of medical 3D printing accuracy of multi‐pathological anatomical models for surgical planning manufactured in elastic and rigid material using desktop inverted vat photopolymerization

A Density-focused Support Vector Data Description Method

Neural network and regression spline value function approximations for stochastic dynamic programming

Adaptive value function approximation for continuous-state stochastic dynamic programming

A Decision-Making Framework for Ozone Pollution Control

Efficient approximate dynamic programming based on design and analysis of computer experiments for infinite-horizon optimization

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