Intelligent cost estimation by machine learning in supply management: A structured literature review

F Bodendorf, P Merkl, J Franke - Computers & Industrial Engineering, 2021 - Elsevier
In the automotive industry, cost estimation of components to be purchased plays an
important role for price negotiations with suppliers and, therefore, for cost control within the …

A holistic review on artificial intelligence techniques for well placement optimization problem

J Islam, PM Vasant, BM Negash, MB Laruccia… - … in engineering software, 2020 - Elsevier
Well placement optimization is one of the major challenging factors in the field development
process of oil and gas industry. The objective function of well placement optimization is …

Prediction of transportation energy demand: multivariate adaptive regression splines

MA Sahraei, H Duman, MY Çodur, E Eyduran - Energy, 2021 - Elsevier
Energy usage in the transportation sector has been increasing in Turkey. Good
management of energy is important as well as a reliable prediction of the energy demand in …

Robust multivariate adaptive regression splines under cross-polytope uncertainty: an application in a natural gas market

A Özmen, Y Zinchenko, GW Weber - Annals of Operations Research, 2023 - Springer
Currently, the presence of data uncertainty and noise raises critical issues to be handled on
both theoretical and computational grounds. Therefore, robustification and robust …

Natural gas consumption forecast with MARS and CMARS models for residential users

A Özmen, Y Yılmaz, GW Weber - Energy Economics, 2018 - Elsevier
Prediction natural gas consumption is indispensable for efficient system operation and
required for planning decisions at natural gas Local Distribution Companies (LDCs) …

The use of machine learning techniques for assessing the potential of organizational resilience

T Ewertowski, BÇ Güldoğuş, S Kuter, S Akyüz… - … European Journal of …, 2024 - Springer
Organizational resilience (OR) increases when the company has the ability to anticipate,
plan, make decisions, and react quickly to changes and disruptions. Thus the company …

Robust optimization in spline regression models for multi-model regulatory networks under polyhedral uncertainty

A Özmen, E Kropat, GW Weber - Optimization, 2017 - Taylor & Francis
In our study, we integrate the data uncertainty of real-world models into our regulatory
systems and robustify them. We newly introduce and analyse robust time-discrete target …

Retrieval of fractional snow covered area from MODIS data by multivariate adaptive regression splines

S Kuter, Z Akyurek, GW Weber - Remote Sensing of Environment, 2018 - Elsevier
In this paper, a novel approach to estimate fractional snow cover (FSC) from MODIS data in
a complex and heterogeneous Alpine terrain is represented by using a state-of-the-art …

Prognostic and Health Management of Critical Aircraft Systems and Components: An Overview

S Fu, NP Avdelidis - Sensors, 2023 - mdpi.com
Prognostic and health management (PHM) plays a vital role in ensuring the safety and
reliability of aircraft systems. The process entails the proactive surveillance and evaluation of …

Identifying and prioritizing resilient health system units to tackle the COVID-19 pandemic

N Adabavazeh, M Nikbakht, EB Tirkolaee - Socio-Economic Planning …, 2023 - Elsevier
Since human health greatly depends on a healthy and risk-free social environment, it is very
important to have a concept to focus on improving epidemiology capacity and potential …