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Working with women in Turkey exposed to childhood sexual abuse
(Wiley, 2018)Objective Sexual abuse of children is an important public health issue. The aim of this study was to provide a multidimensional examination of women over the age of 18 who were exposed to sexual abuse in childhood and the ... 
Political and economic institutions and economic performance: Evidence from Kosovo
(Walter De Gruyter Gmbh, 2018)This study examines Kosovo's attempts to create efficient political and economic institutions while assuming that if these institutions cannot perform well and the market economy will also fail. Thus, the main aim of this ... 
Grouping OECD countries based on energyrelated variables using kmeans and fuzzy clustering
(Springer, 2018)The main purpose of this study is to examine the relationships between energy consumption, CO2 emission and economic growth for 28 OECD countries and to form clusters based on the findings. The study is carried out under ... 
An empirical assessment of customer lifetime value models within data mining
(Univ Latvia, 2018)Customer lifetime value has been of significant importance to marketing researchers and practitioners in specifying the importance level of each customer. By means of segmentation which could be carried out using valuebased ... 
Genders prediction from indoor customer paths by Levenshteinbased fuzzy kNN
(PergamonElsevier Science Ltd, 2019)Companies have an advantage over the competitors if they can present customized offers to customers. Demographic information of customers is critical for the companies to develop individualized systems. While current ... 
Individual behavior modeling with sensors using process mining
(MDPI, 2019)Understanding human behavior can assist in the adoption of satisfactory health interventions and improved care. One of the main problems relies on the definition of human behaviors, as human activities depend on multiple ... 
Catastrophic household expenditure for healthcare in Turkey: Clustering analysis of categorical data
(MDPI, 2019)The amount of health expenditure at the household level is one of the most basic indicators of development in countries. In many countries, health expenditure increases relative to national income. If outofpocket health ... 
An Interactive datadriven (dynamic) multiple attribute decision making model via interval type2 fuzzy functions
(MDPI, 2019)A new multiple attribute decision making (MADM) model was proposed in this paper in order to cope with the temporal performance of alternatives during different time periods. Although dynamic MADM problems are enjoying a ... 
Analysis of different binarization techniques within whale optimization algorithm
(IEEE, 2019)In this study, Whale Optimization Algorithm (WOA), which is a recently proposed swarm intelligencebased algorithm, has been used to solve binary optimization problems. As the WOA algorithm has been developed for optimizing ... 
Analysis of key performance indicators in a manufacturing plant via fuzzy cognitive maps
(IEEE, 2019)Companies have to follow key performance indicators (KPIs) for their key objectives, such as increasing of productivity and profit, and reducing cost. Performance measurement and management is also important in this context. ... 
Vehicle routing with compartments under product incompatibility constraints
(Svenciliste U Zagrebu, Fakultet Prometnih Znanosti, 2019)This study focuses on a distribution problem involving incompatible products which cannot be stored in a compartment of a vehicle. To satisfy different types of customer demand at minimum logistics cost, the products are ... 
Metaheuristic algorithms for the hybrid flowshop scheduling problem
(PergamonElsevier Science Ltd, 2019)The hybrid flowshop scheduling problem (HFSP) has been widely studied in the literature, as it has many reallife applications in industry. Even though many solution approaches have been presented for the HFSP with makespan ... 
Quaternions via generalized Fibonacci and Lucas number components
(Editura Acad Romane, 2019)In this paper, we derive some combinatorial properties of generalized Fibonacci quaternion Q(n) and generalized Lucas quaternion Kn, where the components of Q(n) and Kn are generalized Fibonacci number Un and generalized ... 
On the Diophantine equation Ln  Lm=2 . 3(a)
(Springer, 2019)In this paper we find (n, m, a) solutions of the Diophantine equation Ln  Lm = 2 . 3(a), where Ln and Lm are Lucas numbers with a >= 0 and n > m >= 0. For proving our theorem, we use lower bounds for linear forms in ... 
On solutions of the diophantine equation FnFm=3(a)
(Springer India, 2019)In this paper, we find nonnegative (n, m, a) integer solutions of the diophantine equation FnFm = 3(a) where Fn and Fm are Fibonacci numbers. For proving our theorem, we use lower bounds in linear forms. 
A novel MasterSlave optimization algorithm for generating an optimal release policy in case of reservoir operation
(Elsevier, 2019)Dams and reservoirs provide decisionmakers and managers with appropriate control on the available water resources, allowing the implementation of various strategies for the most efficient usage of the available water ... 
Solid phase epitaxial thickening of boron and phosphorus doped polycrystalline silicon thin films formed by aluminium induced crystallization technique on glass substrate
(Elsevier Science Sa, 2019)Aluminium induced crystallization (AIC) technique can be used to form the highquality and largegrained polycrystalline silicon (polySi) thin films, which are with the thickness of similar to 200 nm and used as a seed ... 
(p; q)FIBONACCI AND (p; q)LUCAS SUMS BY THEDERIVATIVES OF SOME POLYNOMIALS
(2019)The main purpose of this paper is to survey several sum formulae of (p; q)Fibonacci number Un and (p; q)Lucas number Vn by using the Örst and the second derivatives of the equations x n = x 2 p x + q 0 @ nX1 j=0 Uj x n1j ... 
Recommendation system with association rule mining and mobile augmented reality
(IEEE, 2019)Mobile augmented reality is a popular technology field that allows simultaneous interaction between the real world and the virtual world with the help of mobile devices. The notion of object recognition and classification, ... 
A realworld text classification application for an ecommerce platform
(IEEE, 2019)This study aims to reflect the realworld utilities of machine learning applications by implementing a set of different text classification algorithms in terms of accuracy and performance. We developed a system capable of ...