• Deri lezyonlarının evrişimsel yapay sinir ağları ile sınıflandırılması 

  Bilginer, Onur; Tunga, Burcu; Demirer, Rüştü Murat (Pamukkale Univ, 2022-07-10)

  Bu çalışmada Uluslararası Deri Görüntüleme Birliği tarafından 2019 yılında yayınlanan ve 25000’den fazla dermoskopik deri görüntüsü içeren ISIC 2019 veri seti kullanılarak 4 çeşit (Melanom, Melanositik Nevüs, Bazal Hücreli ...

• From past to present: spam detection and identifying opinion leaders in social networks 

  Altınel Girgin, Ayşe Berna; Gümüşçekiçci, Gizem (Yildiz Teknik Univ., 2022-06-22)

  On microblogging sites, which are gaining more and more users every day, a wide range of ideas are quickly emerging, spreading, and creating interactive environments. In some cases, in Turkey as well as in the rest of the ...

• CNN-Based deep learning architecture for electromagnetic imaging of rough surface profiles 

  Aydın, İzde; Budak, Güven; Sefer, Ahmet; Yapar, Ali (IEEE, 2022-05-30)

  A convolutional neural network (CNN) based deep learning (DL) technique for electromagnetic imaging of rough surfaces separating two dielectric media is presented. The direct scattering problem is formulated through the ...

• Design trade-offs and considerations for improving the PCB current carrying capacity in high power density power electronics applications 

  Büyükdeğirmenci, Veysel T.; Kozarva, Ömer F.; Milletsever, Özgür C.; Hava, Ahmet Masum (IEEE, 2022-03-24)

  This paper investigates printed circuit board (PCB) design trade-offs and considerations to maximize the current carrying capacity of traces in PCB-based power electronics applications. Many existing designs rely on ...

• ComStreamClust: a communicative multi-agent approach to text clustering in streaming data 

  Najafi, Ali; Gholipour-Shilabin, Araz; Dehkharghani, Rahim; Mohammadpur-Fard, Ali; Asgari-Chenaghlu, Meysam (Springer Science and Business Media Deutschland GmbH, 2022-07-08)

  Topic detection is the task of determining and tracking hot topics in social media. Twitter is arguably the most popular platform for people to share their ideas with others about different issues. One such prevalent issue ...

• Path loss and RMS delay spread model for VLC-based patient health monitoring system 

  Dönmez, Barış; Miramirkhani, Farshad (Institute of Electrical and Electronics Engineers Inc., 2022-05-13)

  Visible Light Communication (VLC) emerges as a supplementary technology to ubiquitous Radio Frequency (RF) since VLC meets the very high data rate, very high reliability, and ultra-low latency requirements driven by the ...

• Categorization of the models based on structural information extraction and machine learning 

  Khalilipour, Alireza; Bozyiğit, Fatma; Utku, Can; Challenger, Moharram (Springer Science and Business Media Deutschland GmbH, 2022-07-21)

  As various engineering fields increasingly use modelling techniques, the number of provided models, their size, and their structural complexity increase. This makes model management, including finding these models, with ...

• Recovery of impenetrable rough surface profiles via CNN-based deep learning architecture 

  Aydın, İzde; Budak, Güven; Sefer, Ahmet; Yapar, Ali (Taylor and Francis Ltd., 2022-08-15)

  In this paper, a convolutional neural network (CNN)-based deep learning (DL) architecture for the solution of an electromagnetic inverse problem related to imaging of the shape of the perfectly electric conducting (PEC) ...

• Closeness and uncertainty aware adversarial examples detection in adversarial machine learning 

  Tuna, Ömer Faruk; Çatak, Ferhat Özgür; Eskil, Mustafa Taner (Elsevier Ltd, 2022-07)

  While deep learning models are thought to be resistant to random perturbations, it has been demonstrated that these architectures are vulnerable to deliberately crafted perturbations, albeit being quasi-imperceptible. These ...

• Battle Royale Optimizer for solving binary optimization problems 

  Akan, Taymaz; Agahian, Saeid; Dehkharghani, Rahim (Elsevier B.V., 2022-05)

  Battle Royale Optimizer (BRO) is a recently proposed metaheuristic optimization algorithm used only in continuous problem spaces. The BinBRO is a binary version of BRO. The BinBRO algorithm employs a differential expression, ...

• Uncertainty as a Swiss army knife: new adversarial attack and defense ideas based on epistemic uncertainty 

  Tuna, Ömer Faruk; Çatak, Ferhat Özgür; Eskil, Mustafa Taner (Springer, 2022-04-02)

  Although state-of-the-art deep neural network models are known to be robust to random perturbations, it was verified that these architectures are indeed quite vulnerable to deliberately crafted perturbations, albeit being ...

• Analysis of the benefits, challenges and risks for the integrated use of BIM, RFID and WSN: a mixed method research 

  Seyis, Senem; Sönmez, Alperen Mert (Emerald Group Publishing Ltd, 2022-05)

  Purpose The purpose of this study is to identify, classify and prioritize the benefits, challenges and risks for the integrated use of building information modeling (BIM), radio frequency identification (RFID) and wireless ...

• Convolutional attention network for MRI-based Alzheimer's disease classification and its interpretability analysis 

  Türkan, Yasemin; Tek, Faik Boray (IEEE, 2021-09-17)

  Neuroimaging techniques, such as Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET), help to identify Alzheimer's disease (AD). These techniques generate large-scale, high-dimensional, multimodal ...

• Channel modeling and characterization for VLC-based MBSNs impaired by 3D user mobility 

  Dönmez, Barış; Miramirkhani, Farshad (IEEE, 2021-11-27)

  This paper focuses on channel modeling and characterization of indoor visible light communication (VLC)-based medical body sensor networks (MBSNs) which establish links between light-emitting diodes (LEDs) and MBSNs nodes ...

• k-Means clustering by using the calculated Z-scores from QEEG data of children with dyslexia 

  Eroğlu, Günet; Arman, Fehim (Taylor & Francis, 2022-05-15)

  Learning the subtype of dyslexia may help shorten the rehabilitation process and focus more on the relevant special education or diet for children with dyslexia. For this purpose, the resting-state eyes-open 2-min QEEG ...

• Tweet sentiment analysis for cryptocurrencies 

  Şaşmaz, Emre; Tek, Faik Boray (IEEE, 2021-10-13)

  Many traders believe in and use Twitter tweets to guide their daily cryptocurrency trading. In this project, we investigated the feasibility of automated sentiment analysis for cryptocurrencies. For the study, we targeted ...

• Considerations for inverter topology selection and limitations in active power filtering applications 

  Büyükdeğirmenci, Veysel T.; Sözüer, Abdurrahman; Milletsever, Özgür C.; Kozarva, Ömer F.; Öz, Taha; Hava, Ahmet Masum (IEEE, 2022-03-31)

  This paper presents a modular inverter structure utilizing hybrid SiC MOSFET based active neutral point clamped inverter for active power filter (APF) applications. An FPGA-based digital controller is developed. One major ...

• GIS aided vulnerability assessment for roads 

  Çalışkan, Berna; Atahan, Ali Osman; Kesten, Ali Sercan (Springer Science and Business Media B.V., 2022-04-21)

  Road networks are vulnerable to natural disasters such as floods, earthquakes and forest fires which can adversely affect the travel on the network. However, not all road links equally affect the travel conditions in a ...

• Semantic Communications in Networked Systems: A Data Significance Perspective 

  Uysal, Elif; Kaya, Onur; Ephremides, Anthony; Gross, James; Codreanu, Marian; Popovski, Petar; Assaad, Mohamad; Liva, Gianluigi; Munari, Andrea; Soleymani, Touraj; Soret, Beatriz; Johansson, Karl Henrik (IEEE, 2021-06)

  We present our vision for a departure from the established way of architecting and assessing communication networks, by incorporating the semantics of information for communications and control in networked systems. We ...

• Age of Information in Practice 

  Uysal, Elif; Kaya, Onur; Baghaee, Sajjad; Beytur, Hasan Burhan (Cambridge University Press, 2021-06-07)

  While age of Information (AoI) has gained importance as a metric characterizing the freshness of information in information-update systems and time-critical applications, most previous studies on AoI have been theoretical. ...

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