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 …
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
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 …
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 …
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
Currently, the presence of data uncertainty and noise raises critical issues to be handled on
both theoretical and computational grounds. Therefore, robustification and robust …
both theoretical and computational grounds. Therefore, robustification and robust …
Natural gas consumption forecast with MARS and CMARS models for residential users
Prediction natural gas consumption is indispensable for efficient system operation and
required for planning decisions at natural gas Local Distribution Companies (LDCs) …
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 …
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
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 …
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
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 …
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 …
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
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 …
important to have a concept to focus on improving epidemiology capacity and potential …