Browsing by Author "Alkaya, A. F."
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Application of sequence-dependent traveling salesman problem in printed circuit board assembly
Alkaya, A. F.; Duman, Ekrem (IEEE, 2013-06)Optimization issues regarding the automated assembly of printed circuit boards attracted the interest of researchers for several decades. This is because even small gains in assembly time result in very important benefits ... -
Automated procedure clustering for reverse engineering PL/SQL programs
Altınışık, Metin (2016-05)Large software systems have to be decomposed into separate, modular units for providing appropriate abstractions and improving maintainability. There exist clustering techniques that are applied to provide such abstractions ... -
Combining and solving sequence dependent traveling salesman and quadratic assignment problems in PCB assembly
Alkaya, A. F.; Duman, Ekrem (Elsevier, 2015-09-10)In this study we undertake the optimization of chip shooter component placement machines which became popular in assembling printed circuit boards (PCB) in recent years. A PCB is usually a rectangular plastic board on which ... -
Comparison of computational intelligence models on forecasting automated teller machine cash demands
Alkaya, A. F.; Gultekin, O. G.; Danaci, E.; Duman, Ekrem (Old City Publishing, 2020)We take up the problem of forecasting the amount of money to be withdrawn from automated teller machines (ATM). We compare the performances of eleven different algorithms from four different research areas on two different ... -
Deep reinforcement learning approach for trading automation in the stock market
Deep Reinforcement Learning (DRL) algorithms can scale to previously intractable problems. The automation of profit generation in the stock market is possible using DRL, by combining the financial assets price "prediction" ... -
Digital oil refinery: utilizing real-time analytics and cloud computing over industrial sensor data
Khodabakhsh, Athar (2018-12-14)This thesis addresses big data challenges seen in large-scale, mission-critical industrial plants such as oil refineries. These plants are equipped with heavy machinery (boilers, engines, turbines, etc.) that are continuously ... -
Enhancing deep learning models for campaign participation prediction
Ayvaz, Demet (2019-07-31)Companies engage with their customers in order to establish a long-term relationship. Targeting the right audience with the right product is crucial for providing better services to customers, increasing their loyalty to ... -
Migrating birds optimization: a new metaheuristic approach and its performance on quadratic assignment problem
Duman, Ekrem; Uysal, M.; Alkaya, A. F. (Elsevier, 2012-12-25)We propose a new nature inspired metaheuristic approach based on the V flight formation of the migrating birds which is proven to be an effective formation in energy saving. Its performance is tested on quadratic assignment ... -
Preface: 13th cologne-twente workshop on graphs and combinatorial optimization (CTW 2015)
Duman, Ekrem; Alkaya, A. F.; Pickl, S.; Faigle, U. (Elsevier, 2019-01-10)N/A -
A semantic policy framework for internet of things
Göynügür, Emre (2018-10-31)With the proliferation of technology, connected and interconnected devices (henceforth referred to as IoT) are fast becoming a viable option to automate the day-to-day interactions of users with their environments. However, ... -
Tool support for model based software product line testing
Ergun, Burcu (2018-01)We introduce a tool for automated adaptation of test models to be reused for a prod uct family. Test models are specified in the form of hierarchical Markov chains. They represent possible usage behavior regarding the ... -
Zeroability patterns of monomials in the sign-representation of boolean functions
Yapar, Oytun (2017-06)Boolean functions (BF) are one of the fundamental concepts in discrete mathematics. It is possible to represent any BF by a unique polynomial when one takes -1 as True and 1 as False. Coefficients of the polynomial ...
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