• 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. ...

• Enabling 5G indoor services for residential environment using VLC technology 

  Miramirkhani, Farshad; Karbalayghareh, Mehdi; Zeydan, Engin; Mitra, Rangeet (Elsevier B.V., 2022-03-10)

  Visible light communication (VLC) has emerged as a viable complement to traditional radio frequency (RF) based systems and as an enabler for high data rate communications for beyond-5G (B5G) indoor communication systems. ...

• Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples 

  Tuna, Ömer Faruk; Çatak, Ferhat Özgür; Eskil, Mustafa Taner (Springer, 2022-02-18)

  Deep neural network (DNN) architectures are considered to be robust to random perturbations. Nevertheless, it was shown that they could be severely vulnerable to slight but carefully crafted perturbations of the input, ...

• BinBRO: Binary Battle Royale optimizer algorithm 

  (Rahkar Farshi), Taymaz Akan; Agahian, Saeid; Dehkharghani, Rahim (Elsevier Ltd, 2022-02-04)

  Stochastic methods attempt to solve problems that cannot be solved by deterministic methods with reasonable time complexity. Optimization algorithms benefit from stochastic methods; however, they do not guarantee to obtain ...

• ISIKUN at the FinCausal 2020: Linguistically informed machine-learning approach for causality identification in financial documents 

  Özenir, Hüseyin Gökberk; Karadeniz, İlknur (Association for Computational Linguistics (ACL), 2020)

  This paper presents our participation to the FinCausal-2020 Shared Task whose ultimate aim is to extract cause-effect relations from a given financial text. Our participation includes two systems for the two sub-tasks of ...

• Inductor saturation compensation in three-phase three-wire voltage-source converters via inverse system dynamics 

  Özkan, Ziya; Hava, Ahmet Masum (Institute of Electrical and Electronics Engineers Inc., 2022-05-01)

  In three-phase three-wire (3P3W) voltage-source converter (VSC) systems, utilization of filter inductors with deep saturation characteristics is often advantageous due to the improved size, cost, and efficiency. However, ...

• Evaluating the English-Turkish parallel treebank for machine translation 

  Görgün, Onur; Yıldız, Olcay Taner (Tubitak Scientific & Technical Research Council Turkey, 2022)

  This study extends our initial efforts in building an English-Turkish parallel treebank corpus for statistical machine translation tasks. We manually generated parallel trees for about 17K sentences selected from the Penn ...

• A cooperative neural network control structure and its application for systems having dead-zone nonlinearities 

  Dinçmen, Erkin (Springer International Publishing Ag, 2022-01)

  An adaptive control structure utilizing two feed-forward neural networks (NN) is proposed to deal with systems having unknown nonlinearities. One of the networks is trained to mimic the nonlinear system dynamics. Its ...

• Image recovery of inaccessible rough surfaces profiles having impedance boundary condition 

  Sefer, Ahmet; Yapar, Ali (IEEE, 2022)

  This letter addresses a reconstruction algorithm of locally rough inaccessible surface profiles via the knowledge of the scattered field data under the consideration of the impedance boundary condition (IBC). To this aim, ...

• Maintenance policy analysis of the regenerative air heater system using factored POMDPs 

  Kıvanç, İpek; Özgür Ünlüakın, Demet; Bilgiç, Taner (Elsevier Ltd, 2022-03)

  Maintenance optimization of multi-component systems is a difficult problem. Partially Observable Markov Decision Processes (POMDPs) are powerful tools for such problems under uncertainty in stochastic environments. In this ...

• On the online coalition structure generation problem 

  Flammini, Michele; Monaco, Gianpiero; Moscardelli, Luca; Shalom, Mordechai; Zaks, Shmuel (AI Access Foundationusc Information Sciences Inst, 2021)

  We consider the online version of the coalition structure generation problem, in which agents, corresponding to the vertices of a graph, appear in an online fashion and have to be partitioned into coalitions by an authority ...

• Machine learning 

  Yıldız, Olcay Taner (Institution of Engineering and Technology, 2020-01-01)

  [No abstract available]

• Reconstruction algorithm for impenetrable rough surface profile under Neumann boundary condition 

  Sefer, Ahmet; Yapar, Ali (Taylor and Francis Ltd., 2021-11)

  In this paper, an algorithm to reconstruct one-dimensional impenetrable rough surface from the knowledge of scattering field is presented. The rough surface is considered as locally perturbed and the scattering field data ...

• Channel modeling and characterization for VLC-based medical body sensor networks: trends and challenges 

  Dönmez, Barış; Mitra, Rangeet; Miramirkhani, Farshad (IEEE, 2021-11-15)

  Optical Wireless Communication (OWC) refers to transmission in unguided propagation media through the use of optical carriers, i.e., visible, Infrared (IR), and Ultraviolet (UV) bands. In this paper, we focus on indoor ...

• A novel biometric identification system based on fingertip electrocardiogram and speech signals 

  Güven, Gökhan; Güz, Ümit; Gürkan, Hakan (Elsevier Inc., 2022-03)

  In this research work, we propose a one-dimensional Convolutional Neural Network (CNN) based biometric identification system that combines speech and ECG modalities. The aim is to find an effective identification strategy ...

• When to pull data for minimum age penalty 

  Yavaşcan, Orhan Tahir; Ceran, Elif Tuğçe; Cakir, Zeynep; Uysal, Elif; Kaya, Onur (IEEE, 2021-10-18)

  A communication receiver that wants to pull data from a remote sensor by exploiting wireless energy transfer is considered. The receiver has a long-term average energy budget for this operation, and its goal is to keep the ...

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