Murat Kulahci

Orcid: 0000-0003-4222-9631

According to our database1, Murat Kulahci authored at least 47 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Variable selection wrapper in presence of correlated input variables for random forest models.
Qual. Reliab. Eng. Int., February, 2024

Robust online active learning.
Qual. Reliab. Eng. Int., February, 2024

Active learning for data streams: a survey.
Mach. Learn., January, 2024

2023
Statistical process control versus deep learning for power plant condition monitoring.
Comput. Chem. Eng., October, 2023

Online monitoring for error detection in vat photopolymerization.
Int. J. Comput. Integr. Manuf., September, 2023

A survey on online active learning.
CoRR, 2023

2022
An easy to use GUI for simulating big data using Tennessee Eastman process.
Qual. Reliab. Eng. Int., 2022

Stream-based active learning with linear models.
Knowl. Based Syst., 2022

A numerical study of Markov decision process algorithms for multi-component replacement problems.
Eur. J. Oper. Res., 2022

Online Active Learning for Soft Sensor Development using Semi-Supervised Autoencoders.
CoRR, 2022

A novel fault detection and diagnosis approach based on orthogonal autoencoders.
Comput. Chem. Eng., 2022

2021
A taxonomy of railway track maintenance planning and scheduling: A review and research trends.
Reliab. Eng. Syst. Saf., 2021

An investigation of the utilisation of different data sources in manufacturing with application in injection moulding.
Int. J. Prod. Res., 2021

An extended Tennessee Eastman simulation dataset for fault-detection and decision support systems.
Comput. Chem. Eng., 2021

2020
On monitoring industrial processes under feedback control.
Qual. Reliab. Eng. Int., 2020

Mould wear-out prediction in the plastic injection moulding industry: a case study.
Int. J. Comput. Integr. Manuf., 2020

Cost-sensitive learning classification strategy for predicting product failures.
Expert Syst. Appl., 2020

2019
Outliers detection using an iterative strategy for semi-supervised learning.
Qual. Reliab. Eng. Int., 2019

2018
Big data analytics using semi-supervised learning methods.
Qual. Reliab. Eng. Int., 2018

Simulating flood risk under non-stationary climate and urban development conditions - Experimental setup for multiple hazards and a variety of scenarios.
Environ. Model. Softw., 2018

Harvest time prediction for batch processes.
Comput. Chem. Eng., 2018

Added Value of Individual Flexibility Profiles of Electric Vehicle Users For Ancillary Services.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Rare-Events Classification: An Approach Based on Genetic Algorithm and Voronoi Tessellation.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018

2017
Exploring the Use of Design of Experiments in Industrial Processes Operating Under Closed-Loop Control.
Qual. Reliab. Eng. Int., 2017

Big data analytics for industrial process control.
Proceedings of the 22nd IEEE International Conference on Emerging Technologies and Factory Automation, 2017

Selection of objective function for imbalanced classification: an industrial case study.
Proceedings of the 22nd IEEE International Conference on Emerging Technologies and Factory Automation, 2017

2016
Recent Advances and Future Directions for Quality Engineering.
Qual. Reliab. Eng. Int., 2016

Impact of Autocorrelation on Principal Components and Their Use in Statistical Process Control.
Qual. Reliab. Eng. Int., 2016

2015
The Effect of Autocorrelation on the Hotelling <i>T</i><sup>2</sup> Control Chart.
Qual. Reliab. Eng. Int., 2015

Pig herd monitoring and undesirable tripping and stepping prevention.
Comput. Electron. Agric., 2015

Statistical data mining for efficient quality control in manufacturing.
Proceedings of the 20th IEEE Conference on Emerging Technologies & Factory Automation, 2015

2010
Steepest-ascent constrained simultaneous perturbation for multiobjective optimization.
ACM Trans. Model. Comput. Simul., 2010

Profile-driven regression for modeling and runtime optimization of mobile networks.
ACM Trans. Model. Comput. Simul., 2010

Editorial.
Qual. Reliab. Eng. Int., 2010

Analysis of signal-response systems using generalized linear mixed models.
Qual. Reliab. Eng. Int., 2010

Analysis of computer experiments with multiple noise sources.
Qual. Reliab. Eng. Int., 2010

2009
Simulation-based cycle-time quantile estimation in manufacturing settings employing non-FIFO dispatching policies.
J. Simulation, 2009

2008
A model-free approach to eliminate autocorrelation when testing for process capability.
Qual. Reliab. Eng. Int., 2008

Call for Papers: 'Quality and Reliability Engineering International is Planning a Special Issue Focusing on Design for Six Sigma'.
Qual. Reliab. Eng. Int., 2008

Estimation of missing observations in two-level split-plot designs.
Qual. Reliab. Eng. Int., 2008

Designing simulation experiments with controllable and uncontrollable factors.
Proceedings of the 2008 Winter Simulation Conference, Global Gateway to Discovery, 2008

2007
Partial confounding and projective properties of Plackett-Burman designs.
Qual. Reliab. Eng. Int., 2007

Blocking Two-level Factorial Experiments.
Qual. Reliab. Eng. Int., 2007

Accelerated testing of on-board diagnostics.
Qual. Reliab. Eng. Int., 2007

Combining Latin hypercube designs and discrete event simulation in a study of a surgical unit.
Proceedings of the Winter Simulation Conference, 2007

Meta-Regression: A Framework for Robust Reactive Optimization.
Proceedings of the First International Conference on Self-Adaptive and Self-Organizing Systems, 2007

2005
The Use of Plackett-Burman Designs to Construct Split-Plot Designs.
Technometrics, 2005


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