• A novel VIKOR method using spherical fuzzy sets and its application to warehouse site selection 

  KUTLU GÜNDOGDU, FATMA; Kahraman, Cengiz (2019)

  The extensions of ordinary fuzzy sets such as intuitionistic fuzzy sets (IFS), Pythagorean fuzzy sets (PFS), and neutrosophic sets (NS), whose membership functions are based on three dimensions, aim at collecting experts' ...
• Automatic HTML code generation from mock-up images using machine learning techniques 

  Asiroğlu, Batuhan; Mete, Büşra Rümeysa; Yıldız, Eyyüp; Nalçakan, Yağız; Sezen, Alper; Dağtekin, Mustafa; Ensari, Tolga (2019)

  The design cycle for a web site starts with creating mock-ups for individual web pages either by hand or using graphic design and specialized mock-up creation tools. The mock-up is then converted into structured HTML or ...
• Channel estimation for OFDM-IM systems 

  Acar, Yusuf; Aldırmaz Çolak, sultan; Başar, Ertuğrul (2019)

  Orthogonal frequency division multiplexing with index modulation (OFDM-IM) has been recently proposed to increase the spectral efficiency and improve the error performance of multicarrier communication systems. However, ...
• Comparison of lung cancer detection algorithms 

  Günaydın, Özge; Günay, Melike; Şengel, Öznur (International Scientific Meeting on Electrical-Electronics and Biomedical Engineering and Computer Science (EBBT), 2019)

  Lung cancer is a kind of difficult to diagnose and dangerous cancer. It commonly causes death both men and women so fast accurate analysis of nodules is more important for treatment. Various methods have been used for ...
• Cyclostationary analysis of respiratory signals with application of rate determination 

  Saatçi, Esra; Saatçi, Ertuğrul; Akan, Aydın (2019)

  Respiratory signals are periodic-like signals where the noisy periodic pattern repeats itself. Therefore, based on a stationarity assumption, autocorrelation function contains noisy cycles in time-lag with the same rate ...
• Deep learning based forecasting in stock market with big data analytics 

  Şişmanoğlu, Gözde; Önde, Mehmet Ali; Koçer, FURKAN; Sahingoz, Ozgur Koray (2019)

  In recent years, due to the technological improvements in computers' hardware and enhancements in the machine learning techniques, there are two increasing approaches for problem-solving as the use of "Big Data" and "Parallel ...
• Diagnosis of lung cancer using artificial immune system 

  Günay, Melike; Orman, Zeynep; Ensari, Tolga; Oukid, Salina; Benblidia, Nadjia (International Scientific Meeting on Electrical-Electronics and Biomedical Engineering and Computer Science (EBBT), 2019)

  In this study, we implement the Artificial Immune System method to increase the number of data in the lung cancer dataset and obtain higher prediction rate for the diagnosis of lung cancer. Artificial Immune System is ...
• Experimental and numerical study of the sloshing modes of liquid storage tanks with the virtual mass method 

  Yazıcı, Gökhan; Kılıç, S. Armağan; Çakıroğlu, K. (2019-05)

  Accurate prediction of the vibration characteristics of the sloshing motion is essential for the analysis and design of liquid storage tanks subjected to base motion. The virtual mass method is a computationally efficient ...
• Hertzian elasticity and triggered swelling kinetics of poly(amino ester)-based gel beads with controlled hydrophilicity and functionality: A mild and convenient synthesis via dropwise freezing into cryogenic liquid 

  ÖKTEN, Nur Sena; Çanakçı, Cahit Can; Orakdoğen, Narin (2019-05)

  Poly(amino ester)-based homo- and co-polymeric gel beads were prepared via "dropwise freezing into cryogenic liquid" method and multi-responsive properties of the prepared spherical beads were confirmed by the pulsatile ...
• High performance OFDM with index modulation 

  Acar, Yusuf; Cooklev, Todor (2019-02)

  Orthogonal frequency division multiplexing (OFDM) with index modulation (OFDM-IM), which has been recently proposed as an alternative waveform to classical OFDM, generally achieves lower bit error rate compared to classical ...

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