The importance of precise DEMs in modelling flood

Demir, Gökben
Akyürek, Sevda Zuhal


The value of radio frequency identification technology for managing pools of returnable transport items
Demir, Ayşegül; Meral, Fatma Sedef; Flapper, Douwe Simme; Department of Industrial Engineering (2010)
Limited asset visibility is a key problem in the management of returnable transport items (RTIs) like reusable containers, pallets and kegs. One tool to increase asset visibility is radio frequency identification (RFID) technology. However, RFID requires high investment cost and intensive efforts for implementation. In this study, we investigate the added value of using RFID technology for the management of the RTI pool in a closed-loop supply chain setting considering both costs and benefits. We have condu...
The role of the Singapore bar model in reducing students' errors on algebra word problems
Baysal, Esra; Sevinç, Şerife (2021-06-01)
This study investigated the role of the bar model method, a significant aspect of the Singapore mathematics curriculum, in the remediation of seventh-grade students' errors on algebra word problems. To accomplish this purpose, we first assessed students' errors on a written test involving algebra problems and identified ten students based on the errors they demonstrated. These students were then offered instruction on how to use the bar model method. Following the instruction, we did clinical interviews and...
The optimality of potential rescaling approaches in land data assimilation
Yılmaz, Mustafa Tuğrul (American Meteorological Society, 2013-04-01)
It is well known that systematic differences exist between modeled and observed realizations of hydrological variables like soil moisture. Prior to data assimilation, these differences must be removed in order to obtain an optimal analysis. A number of rescaling approaches have been proposed for this purpose. These methods include rescaling techniques based on matching sampled temporal statistics, minimizing the least squares distance between observations and models, and the application of triple collocatio...
The importance of evaluating metal exposure and predicting human health risks in urban-periurban environments influenced by emerging industry
Yousaf, Balal; Amina, Amina; Liu, Guijian; Wang, Ruwei; Imtiaz, Muhammad; Rizwan, Muhammad Shahid; Zia-ur-Rehman, Muhammad; Qadir, Abdul; Si, Youbin (2016-05-01)
The human population boom, urbanization and rapid industrialization have either directly or indirectly resulted in the serious environmental toxification of the soil-food web by metal exposure from anthropogenic sources in most of the developing industrialized world. The present study was conducted to analyze concentrations of Cd, Cr, Cu, Mn, Ni, Pb, and Zn in soil and vegetables in the urban-periurban areas influenced by emerging industry. Vegetables and their corresponding soil samples were collected and ...
The Impact of Feature Selection and Transformation on Machine Learning Methods in Determining the Credit Scoring
Koç, Oğuz; Uğur, Ömür; Kestel, Sevtap Ayşe (2023-03-01)
Banks utilize credit scoring as an important indicator of financial strength and eligibility for credit. Scoring models aim to assign statistical odds or probabilities for predicting if there is a risk of nonpayment in relation to many other factors which may be involved in. This paper aims to illustrate the beneficial use of the eight machine learning (ML) methods (Support Vector Machine, Gaussian Naive Bayes, Decision Trees, Random Forest, XGBoost, K-Nearest Neighbors, Multi-layer Perceptron Neural ...
Citation Formats
G. Demir and S. Z. Akyürek, “The importance of precise DEMs in modelling flood,” 2016, Accessed: 00, 2021. [Online]. Available: