• Computational intelligence models for PIV based particle (cuttings) direction and velocity estimation in multi-phase flows 

  Tombul, Hatice; Ozbayoglu, A. Murat; Ozbayoglu, M. Evren (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 ...

• New mathematical models for team formation of sports clubs before the match 

  Budak, Gercek; Kara, İmdat; İc, Yusuf Tansel; Kasimbeyli, Refail (2019)

  Coaches of sports clubs aim to form the team that optimally determines the roles of positions before the match. These types of decisions are referred to as the team formation problem, and they are critical for the sports ...

• Epicyclic oscillations of charged particles in stationary solutions immersed in a magnetic field with application to the Kerr-Newman black hole 

  Azreg-Ainou, Mustapha (2019)

  We consider a stationary metric immersed in a uniform magnetic field and determine the general expressions for the epicyclic frequencies of charged particles. Applications to the Kerr-Newman black hole are reached of ...

• Calibration of Quartz Tuning Fork transducer by coulometry for mass sensitive sensor studies 

  Dedeoglu, Aylin; Karadas, Nurgul; Unal, Mehmet Altay; Kocum, Ismail Cengiz; Serdaroglu, Dilek Cokeliler; Ozkan, Sibel Aysil (2019)

  Mass-sensitive sensing has one main advantage: mass is one of the most fundamental properties of any analyte. They also require suitable recognition materials to ensure selectivity. Quartz Tuning Forks (QTFs) have been ...

• Visual and Auditory Data Fusion for Energy-Efficient and Improved Object Recognition in Wireless Multimedia Sensor Networks 

  Koyuncu, Murat; Yazici, Adnan; Civelek, Muhsin; Cosar, Ahmet; Sert, Mustafa (2019)

  Automatic threat classification without human intervention is a popular research topic in wireless multimedia sensor networks (WMSNs) especially within the context of surveillance applications. This paper explores the ...

• Approximation Properties of King Type -Bernstein Operators 

  Dalmanoglu, Ozge; Orkcu, Mediha (2019)

  The present paper deals mainly with a King type modification of -Bernstein operators. By improving the conditions given in Mursaleen et al. (On (p, q)-analogue of Bernstein operators. Appl Math Comput 266:874-882, 2015a), ...

• Multifunctional Phototherapy Device Design 

  Aksahin, Mehmet (2019)

  Today, phototherapy devices are used to treat newborn jaundice. However, there are some cases that the commercial phototherapy devices are inadequate. Most of the device are controlled only at the certain interval that ...

• Transscleral Delivery of Bevacizumab-Loaded Chitosan Nanoparticles 

  Ugurlu, Nagihan; Asik, Mehmet Dogan; Cakmak, Hasan Basri; Tuncer, Sema; Turk, Mustafa; Cagil, Nurullah; Denkbas, Emir Baki (2019)

  Purpose: The aim of this study was to synthesize bevacizumab-loaded nanoparticles and evaluate their effects on the treatment of posterior segment diseases via subtenon injections. Methods: Bevacizumab-loaded chitosan ...

• Rotating normal and phantom Einstein-Maxwell-dilaton black holes: Geodesic analysis 

  Azreg-Ninou, Mustapha; Haroon, Sumarna; Jamil, Mubasher; Rizwan, Muhammed (2019)

  Depending on five parameters, rotating counterparts of Einstein-Maxwell-dilaton black holes are derived. We discuss their physical and geometric properties and investigate their null and timelike geodesics including circular ...

• Porous polyurethane film fabricated via the breath figure approach for sustained drug release 

  Daha, Gizem; Bayram, Cem; Bozdogan, Betuel; Denkbas, Emir Baki (2019)

  The breath figure (BF) method is an effective process for fabricating porous polymeric films. In this study, we fabricated porous polymer films from thermoplastic polyurethane (PU) through static BF with CHCl3 as a solvent ...

• A new framework using deep auto-encoder and energy spectral density for medical waveform data classification and processing 

  Karim, Ahmad M.; Guzel, Mehmet S.; Tolun, Mehmet R.; Kaya, Hilal; Celebi, Fatih V. (2019)

  This paper proposes a new framework for medical data processing which is essentially designed based on deep autoencoder and energy spectral density (ESD) concepts. The main novelty of this framework is to incorporate ESD ...

• Sustainable Transportation System Design 

  Colak, Melis; Utku, Irem Yaprak; Ozmisir, Deniz; Boz, Alican; Aydogdu, Tayfun; Didis, Mert Cem (2020)

  As reducing the carbon footprint became one of the topmost concerns of the firms, Company X Turkey has a goal of transforming all of its operations in environmentally sustainable manner. Therefore, they specified their ...

• On 'rotating charged AdS solutions in quadratic f(T) gravity': new rotating solutions 

  Az, Mustapha (2020)

  We show that there are two or more procedures to generalize the known four-dimensional transformation, aiming to generate cylindrically rotating charged exact solutions, to higher dimensional spacetimes. In the one procedure, ...

• Shadow, quasinormal modes, and quasiperiodic oscillations of rotating Kaluza-Klein black holes 

  Ghasemi-Nodehi, M.; Azreg-Ainou, Mustapha; Jusufi, Kimet; Jamil, Mubasher (2020)

  In this paper we study the shadow of rotating Kaluza-Klein (KK) black holes and the connection between the shadow radius and the real part of quasinormal modes (QNMs) in the eiokonal limit. In addition we have explored the ...

• Daphnet Freezing Recognition with Gait Data by Using Machine Learning Algorithms 

  Guney, Selda; Boluk, Busra (2020)

  The aim of this study was to test the success of the data set obtained by a wearable health assistant developed for the symptom of freezing (FOG) in gait of Parkinson's patients and to increase the success of the system. ...

• Wi-Fi Based Indoor Positioning System with Using Deep Neural Network 

  Guney, Selda; Erdogan, Alperen; Aktas, Melih; Ergun, Mert (2020)

  Indoor positioning is one of the major challenges for the future large-scale technologies. Nowadays, it has become an attractive research subject due to growing demands on it. Several algorithms and techniques have been ...

• Comparison of Expectations and Perceptions of Resident European Union (EU) Citizens About Hospital Service Quality In Their Home Countries and Turkey 

  Yildirim, Yavuz; Kavuncubasi, Sahin (2020)

  The aim of this research is to reveal the assessment of EU (European Union) citizens residing in Alanya regarding the quality of hospital services in both their own countries and Alanya. The study was carried out face-to-face ...

• Six sigma project prioritization and selection: a multi-criteria decision making approach in healthcare industry 

  Pakdil, Fatma; Toktas, Pelin; Can, Gulin Feryal (2020)

  Purpose The purpose of this study is to develop a methodology in which alternate Six Sigma projects are prioritized and selected using appropriate multi-criteria decision-making (MCDM) methods in healthcare organizations. ...

• Reducing Uncertainty in a Type J Thermocouple Calibration Process 

  Ic, Yusuf Tansel; Guler, Ebru Saraloglu; Cakir, Zeynep Erbil (2019)

  Thermocouples are used in many manufacturing processes in order to read the actual temperature of the product. Calibration of thermocouples is critical wherever they are used. However, the uncertainties must be considered ...

• Acoustic Scene Classification Using Spatial Pyramid Pooling With Convolutional Neural Networks 

  Basbug, Ahmet Melih; Sert, Mustafa (2019)

  Automatic understanding of audio events and acoustic scenes has been an active research topic for researchers from signal processing and machine learning communities. Recognition of acoustic scenes in the real life scenarios ...

View more