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Toplam kayıt 17, listelenen: 11-17
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 ...
Overlapping clusters algorithm in ad hoc networks
(IEEE, 2010)
Clustering allows efficient data routing and multi-hop communication among the nodes. In this paper, we propose Overlapping Clusters Algorithm (OCA) for mobile ad hoc networks. The goal of OCA is to achieve network reliability ...
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 ...
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 ...
An analytic hierarchy process approach with a novel framework for luxury car selection
(Elsevier, 2012)
The luxury car industry is one of the world's fastest growing sectors in many years. Each improvement on a car has a strategic meaning for our daily life and makes more competition in the strategic management. It is important ...
Association Rules in Innovative Technology Collaboration
(IEEE, 2015)
SMEs are motivated to collaborate for research and innovation in order to survive in global competition. Recent studies showed that using advanced communication and information technologies will improve innovative collaboration ...
SME Clustering Based on Innovation Needs
(WORLD SCIENTIFIC PUBL CO PTE LTD, 2012)
Innovation is a competitive obligation for the SMEs but the needs vary by region. In this study, Turkish SMEs in Thrace region are clustered using Fuzzy C-Means which is a strong clustering tool for qualitative data, in ...