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Financial Forecasting using Deep Learning with an Optimized Trading Strategy 

Maratkhan, A.; Ilyassov, I.; Aitzhanov, M.; Demirci, Muhammed Fatih; Özbayoğlu, Ahmet Murat (Institute of Electrical and Electronics Engineers Inc., 2019)
Financial forecasting using computational intelligence nowadays remains a hot topic. Recent improvements in deep neural networks allow us to predict financial market behavior. In our work we first implement a novel approach ...
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Neural network based instant parameter prediction for wireless sensor network optimization models 

Akbaş, Ayhan; Yıldız, Hüseyin Uğur; Özbayoğlu, Ahmet Murat; Tavlı, Bülent (Springer New York LLC, 2019-08)
Optimal operation configuration of a Wireless Sensor Network (WSN) can be determined by utilizing exact mathematical programming techniques such as Mixed Integer Programming (MIP). However, computational complexities of ...
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Computational intelligence models for PIV based particle (cuttings) direction and velocity estimation in multi-phase flows 

Tombul, H.; Özbayoğlu, Ahmet Murat; Özbayoğlu, M.E. (Elsevier B.V., 2019)
In multi-phase flow, the gas phase, the liquid phase and the particles (cuttings) within the liquid have different flow behaviors. Particle velocity and particle direction are two of the important aspects for determining ...
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Evolutionary Optimized Stock Support-Resistance Line Detection for Algorithmic Trading Systems 

Yildirim, E.O.; Ucar, M.; Özbayoğlu, Ahmet Murat (Institute of Electrical and Electronics Engineers Inc., 2019-11)
Successful stock traders have been using support-resistance lines for their trading decisions for decades. At the same time, correctly identifying these imaginary lines is one of the greatest challenges that they constantly ...
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HSV Color Histogram Based Image Retrieval with Background Elimination 

Erkut, U.; Bostancioglu, F.; Erten, M.; Özbayoğlu, Ahmet Murat; Solak, E. (Institute of Electrical and Electronics Engineers Inc., 2019-11)
In this study, a new content based image retrieval (CBIR) method, which uses HSV histogram data is proposed. The model uses the HSV histogram to find the background from the image by analyzing the peaks in the histogram data ...
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Unsupervised Fingerprint Classification with Directional Flow Filtering 

Özbayoğlu, Ahmet Murat (Institute of Electrical and Electronics Engineers Inc., 2019-11)
In this study, an unsupervised neural network model is proposed for fingerprint classification. The proposed model uses directional flow or local ridge orientation (LRO) information and the relative locations of ...

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Author
Özbayoğlu, Ahmet Murat (6)
Aitzhanov, M. (1)Akbaş, Ayhan (1)Bostancioglu, F. (1)Demirci, Muhammed Fatih (1)Erkut, U. (1)Erten, M. (1)Ilyassov, I. (1)Maratkhan, A. (1)Solak, E. (1)... View MoreSubjectneural networks (2)Algorithmic trading (1)background elimination (1)Background correction (1)backpropagation (1)CBIR (1)Coiled tubing  (1)Content based image retrieval (1)convolutional neural networks (1)cuckoo search (1)... View MoreDate Issued
2019 (6)
Has File(s)No (6)TypeconferenceObject (4)article (2)CoverageKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı (4)Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı (2)WOSWOS:000471071100031 (1)Scopus2-s2.0-85051541898 (1)2-s2.0-85054298275 (1)2-s2.0-85071294580 (1)2-s2.0-85079225778 (1)2-s2.0-85079231482 (1)2-s2.0-85079240380 (1)TÜBİTAK Destekli Yayın Sayısıinfo:eu-repo/grantAgreement/TÜBİTAK/EEEAG/215E248 (1)Dileng (6)Erişiminfo:eu-repo/semantics/closedAccess (6)

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