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Toplam kayıt 23, listelenen: 11-20
Calculation of Renal, Cortex and Medulla Volumes using Semi Automated Method
(IEEE, 2018)
It is assume that renal volume with cortex and medulla volumes are related with recovery of the kidney after transplantation. In this study it is aim that a semi automated method is developed for renal volumes. Theise ...
A new Fuzzy C-Means and AHP-based three-phased approach for multiple criteria ABC inventory classification
(Springer, 2020)
ABC analysis is an efficient and easy-to-use methodology to classify inventory based on a single or multi-criteria basis that may consist of thousands of items. The first study by Dickie (Fact Manag Maint 109(7):92-94, ...
Fully Automated Segmentation of Renal, Cortex and Medulla
(IEEE, 2018)
It is assume that volumes of cortex and medulla are related with recovery of the kidney after transplantation. In this work, a fully automated segmentation and volume calculation method is proposed for determining renal ...
Longitudinal Academic Performance Analysis Using a Two-Step Clustering Methodology
(Tempus Publications, 2017)
The present study aims to examine the academic profiles of industrial engineering undergraduate students among a sample group of military college engineering students ( N= 276) in order to determine the factors impacting ...
Spare part demand forecasting with bayesian model
(World Scientific, 2012)
Continuous change in technology and differentiation in product models in industrial market have an indispensable impact on forecasting demand for spare parts. Inventory managers periodically update their predictions of ...
Single machine scheduling problems under position-dependent fuzzy learning effect with fuzzy processing times
(Elsevier Science, 2017)
In this paper, we consider single machine scheduling problems under position-dependent fuzzy learning effect with fuzzy processing times. We study three objectives which are to minimize makespan, total completion time and ...
A new approach to prediction of SO2 and PM10 concentrations in Istanbul, Turkey: Cellular Neural Network (CNN)
(Taylor & Francis, 2011)
This article describes the application of a cellular neural network (CNN) to model air pollutants. In this study, forthcoming daily and hourly values of particulate matter (PM10) and sulphur dioxide (SO2) were predicted. ...
Application of cellular neural network (CNN) to the prediction of missing air pollutant data
(Elsevier, 2011)
For air-quality assessments in most major urban centers, air pollutants are monitored using continuous samplers. Sometimes data are not collected due to equipment failure or during equipment calibration. In this paper, we ...
A Three-Level Framework to Evaluate Airline Service Quality Based on Interval Valued Neutrosophic Ahp Considering the New Dimensions
(Elsevier, 2022)
Measuring customer satisfaction in service businesses is very important in terms of both increasing service quality and meeting customer expectations. Up-to-date and comprehensive quality of service measurement techniques ...
A two level interval valued neutrosophic AHP integrated TOPSIS methodology for post-earthquake fire risk assessment: An application for Istanbul
(Elsevier Ltd, 2021)
Earthquakes are the leading natural disasters that seriously affect human life. Furthermore, earthquakes are natural disasters that have the ability to trigger a second disaster in addition to the damages they cause. From ...