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A Multi-Agent System Model for Partner Selection Process in Virtual Enterprise 

Sadigh, B. Lotfi; Arikan, F.; Özbayoğlu, Ahmet Murat; Ünver, Hakkı Özgür; Kilic, S. E. (ELSEVIER Science BV, 2014)
Virtual Enterprise (VE) is a collaboration model between multiple business partners in a value chain. VE information system deals with highly dynamic information from heterogeneous data sources. In order to manage and store ...
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k-means Performance Improvements with Centroid Calculation Heuristics both for Serial and Parallel environments 

Karimov, Jeyhun; Özbayoğlu, Ahmet Murat; Dogdu, Erdogan (IEEE, 2015)
k-means is the most widely used clustering algorithm due to its fairly straightforward implementations in various problems. Meanwhile, when the number of clusters increase, the number of iterations also tend to slightly ...
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Clustering Quality Improvement of k-means using a Hybrid Evolutionary Model 

Karimov, Jeyhun; Özbayoğlu, Ahmet Murat (ELSEVIER Science BV, 2015)
Choosing good candidates for the initial centroid selection process for compact clustering algorithms, such as k-means, is essential for clustering quality and performance. In this study, a novel hybrid evolutionary model ...
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Developing a Two Level Options Trading Strategy Based on Option Pair Optimization of Spread Strategies with Evolutionary Algorithms 

Ucar, Ilknur; Özbayoğlu, Ahmet Murat; Ucar, Mustafa (IEEE, 2015)
In this study, a two level options trading strategy is modelled and optimized with Genetic Algorithms and Particle Swarm Optimization for profit maximization. In the first level, the trend is found and in the second level, ...
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TN-RSI: Trend-Normalized RSI indicator for Stock Trading Systems with Evolutionary Computation 

Sahin, Ugur; Özbayoğlu, Ahmet Murat (ELSEVIER Science BV, 2014)
RSI is a commonly used indicator preferred by stock traders. However, even though it works well when the market is trendless, during bull or bear market conditions (when there is a clear trend) its performance degrades. ...
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High quality clustering of big data and solving empty-clustering problem with an evolutionary hybrid algorithm 

Karimov, Jeyhun; Özbayoğlu, Ahmet Murat (IEEE, 2015)
Achieving high quality clustering is one of the most well-known problems in data mining. k-means is by far the most commonly used clustering algorithm. It converges fairly quickly, but achieving a good solution is not ...
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Satellite image band registration with Dynamic Time Warping and Discrete Wavelet Transform 

Özbayoğlu, Ahmet Murat (Institute of Electrical and Electronics Engineers Inc., 2018-07-05)
Due to the imperfect physical arrangement of camera sensors, spectral bands of ground observation satellite images are usually shifted relative to each other. In order to address this issue, we propose a computationally ...
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Weather Data Analysis and Sensor Fault Detection Using An Extended IoT Framework with Semantics, Big Data, and Machine Learning 

Onal, Aras Can; Sezer, Omer Berat; Özbayoğlu, Ahmet Murat; Dogdu, Erdogan (IEEE, 2017)
In recent years, big data and Internet of Things (IoT) implementations started getting more attention. Researchers focused on developing big data analytics solutions using machine learning models. Machine learning is a ...
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Partner selection in formation of virtual enterprises using fuzzy logic 

Nikghadam, S.; Sadigh, B.L.; Özbayoğlu, Ahmet Murat; Ünver, Hakkı Özgür; Kilic, S.E. (SciTePress, 2015)
Virtual Enterprise (VE) is a temporary cooperation among independent enterprises to build up a dynamic collaboration framework for manufacturing. One of the most important steps to construct a successful VE is to select ...
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Optimized GPU implementation of JPEG 2000 for satellite image decompression 

Ufuk, D.U.; Temizel, A.; Özbayoğlu, Ahmet Murat (Institute of Electrical and Electronics Engineers Inc., 2018-12-24)
JPEG 2000 is a powerful yet computationally complex image compression algorithm which is widely used in remote sensing applications. In this work, we focus on speeding-up the decompression algorithm by applying various GPU ...
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Ontology-centric Data Modelling and Decision Support in Smart Grid Applications A Distribution Service Operator Perspective 

Dogdu, Erdogan; Özbayoğlu, Ahmet Murat; Benli, Okan; Akinc, Hulya Erdener; Erol, Erdeniz; Atasoy, Tugrul; Gurec, Ozan; Ercin, Ozden (IEEE, 2014)
Conventional electricity distribution grids are getting smarter by coupling operation technologies with advanced information and communication technologies (ICT). This provides a better, reliable, cost effective and efficient ...
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A Deep Learning based Stock Trading Model with 2-D CNN Trend Detection 

Gudelek, M. Ugur; Boluk, S. Arda; Özbayoğlu, Ahmet Murat (IEEE, 2017)
The success of convolutional neural networks in the field of computer vision has attracted the attention of many researchers from other fields. One of the research areas in which neural networks is actively used is financial ...
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Deep Learning of Micro-Doppler Features for Aided and Unaided Gait Recognition 

Seyfioglu, Mehmet Saygin; Gurbuz, Sevgi Zubeyde; Özbayoğlu, Ahmet Murat; Yüksel, Melda (IEEE, 2017)
Remote health monitoring is a topic that has gained increased interest as a way to improve the quality and reduce costs of health care, especially for the elderly. Falling is one of the leading causes for injury and death ...
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An artificial neural network-based stock trading system using technical analysis and big data framework 

Sezer, O.B.; Özbayoğlu, Ahmet Murat; Dogdu, E. (Association for Computing Machinery, Inc., 2017-04-13)
In this paper, a neural network-based stock price prediction and trading system using technical analysis indicators is presented. The model developed first converts the financial time series data into a series of buy-sell-hold ...
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A Deep Neural-Network Based Stock Trading System Based on Evolutionary Optimized Technical Analysis Parameters 

Sezer, Omer Berat; Özbayoğlu, Ahmet Murat; Dogdu, Erdogan (ELSEVIER Science BV, 2017)
In this study, we propose a stock trading system based on optimized technical analysis parameters for creating buy-sell points using genetic algorithms. The model is developed utilizing Apache Spark big data platform. The ...
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Generic Menu Optimization for Multi-profile Customer Systems 

Karimov, Jeyhun; Özbayoğlu, Ahmet Murat; Tavlı, Bülent; Dogdu, Erdogan (IEEE, 2015)
The use of optimal ATM menu structuring for different customer profiles is essential because of usability, efficiency, and customer satisfaction. Especially in competitive industries such as banking, having optimal user ...
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Evaluation of partner companies based on fuzzy inference system for establishing virtual enterprise consortium 

Nikghadam, S.; LotfiSadigh, B.; Özbayoğlu, Ahmet Murat; Ünver, Hakkı Özgür; Kilic, S.E. (Springer Verlag, 2015)
Virtual Enterprise (VE) is one of the growing trends in agile manufacturing concepts. Under this platform companies with different skills and core competences are cooperate with each other in order to accomplish a manufacturing ...
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Anomaly detection in vehicle traffic with image processing and machine learning 

Sarikan, S.S.; Özbayoğlu, Ahmet Murat (Elsevier B.V., 2018)
Anomaly detection is an important part of an Intelligent Transportation System. In this study, image processing and machine learning techniques are used to detect anomalies in vehicle movements. These anomalies include ...
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Estimation of parameters for the free-form machining with deep neural network 

Serin, Gokberk; Gudelek, M. Ugur; Özbayoğlu, Ahmet Murat; Ünver, Hakkı Özgür (IEEE, 2017)
Predictive Analytics is a crucial part of a Big Data application. Lately, developers have turned their attention to deep learning models due to their huge success in various implementations. Meanwhile, there is lack of ...
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Automated generation of attack graphs using NVD 

Aksu, M. Ugur; Bıçakcı, Kemal; Dilek, M.H.; Özbayoğlu, Ahmet Murat; Tatlı, E.İ. (Association for Computing Machinery, Inc., 2018)
Today’s computer networks are prone to sophisticated multi-step, multi-host attacks. Common approaches of identifying vulnerabilities and analyzing the security of such networks with naive methods such as counting the ...
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Özbayoğlu, Ahmet Murat (29)
Dogdu, Erdogan (5)Karimov, Jeyhun (4)Ünver, Hakkı Özgür (4)Gudelek, M. Ugur (2)Kilic, S.E. (2)Nikghadam, S. (2)Sezer, Omer Berat (2)Aitzhanov, M. (1)Akinc, Hulya Erdener (1)... View MoreSubjectclustering (3)k-means (3)data mining (2)deep learning (2)Hadoop (2)Industry (2)machine learning (2)neural networks (2)Stock market (2)technical indicators (2)... View MoreDate Issued2015 (7)2017 (7)2018 (6)2019 (4)2014 (3)2012 (1)2020 (1)Has File(s)No (23)Yes (6)Type
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CoverageKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı (27)Konferans Öğesi - Ulusal - Kurum Öğretim Elemanı (1)Konferans Öğesi - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı (1)WOSWOS:000345748200038 (1)WOS:000349978000031 (1)WOS:000349978000047 (1)WOS:000373845000005 (1)WOS:000380404600177 (1)WOS:000380443700062 (1)WOS:000380444802073 (1)WOS:000380559200026 (1)WOS:000405307600214 (1)WOS:000419234000057 (1)... View MoreScopus2-s2.0-84906535651 (1)2-s2.0-84938564135 (1)2-s2.0-84938568916 (1)2-s2.0-84945975177 (1)2-s2.0-84952063664 (1)2-s2.0-84954470643 (1)2-s2.0-84959484303 (1)2-s2.0-84962720202 (1)2-s2.0-84963614705 (1)2-s2.0-84963739288 (1)... View MoreTÜBİTAK Destekli Yayın Sayısıinfo:eu-repo/grantAgreement/TÜBİTAK/EEEAG/215E248 (3)Dileng (27)tur (2)Erişiminfo:eu-repo/semantics/closedAccess (22)info:eu-repo/semantics/openAccess (7)

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