Bölüm "İstanbul Arel Üniversitesi, Mühendislik ve Mimarlık Fakültesi, Endüstri Mühendisliği Bölümü." Scopus İndeksli Yayınlar Koleksiyonu için listeleme
Toplam kayıt 6, listelenen: 1-6
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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 ... -
Assessment of particulate matter in the urban atmosphere: size distribution, metal composition and source characterization using principal component analysis
(Royal Society of Chemistry, 2012)In this study, the size distribution of airborne particles and related heavy metals Co, Cd, Sn, Cu, Ni, Cr, Pb and V in two urban areas in Istanbul: Yenibosna and Goztepe, were examined. The different inhalable particles ... -
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. ... -
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 ... -
Routing protocols in ad hoc networks: A survey
(Elsevier, 2011)Ad hoc wireless networks perform the difficult task of multi-hop communication in an environment without a dedicated infrastructure, with mobile nodes and changing network topology. Different deployments exhibit various ... -
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 ...