• A Microwave Imaging Scheme for Detection of Pulmonary Edema and Hemorrhage 

  Ertek, Didem; Küçük Gökhan; Bilgin Egemen (IEEE, 2022)

  The microwave imaging systems have the potential to present a cost effective and less hazardous alternative to conventional medical imaging techniques. In this paper, a Contrast Source Inversion method based microwave ...

• Monitoring of intracerebral hemorrhage with a linear microwave imaging algorithm 

  Dilman, Ismail; Bilgin, Egemen; Akinci, Mehmet Nuri; Cosgun, Sema; Dogu, Semih; Çayören, Mehmet; Akduman, Ibrahim (Springer, 2022)

  Intracerebral hemorrhage is a life-threatening condition where conventional imaging modalities such as CT and MRI are indispensable in diagnosing. Nevertheless, monitoring the evolution of intracerebral hemorrhage still ...

• Kişiselleştirilmiş ve uyarlamalı öğrenme için sözlü dersanlatımlarının işlenmesi 

  Arısoy Saraçlar, Ebru (TÜBİTAK, 2021)

  Bu projede kişiselleştirilmiş ve uyarlamalı eğitim için gelişmiş konuşma ve dil işleme teknolojileri geliştirip özellikle çevrimiçi ders videolarından öğrenme sürecini verimli hale getirmek amaçlanmıştır. Geliştirilen proje ...

• Diyalog geliştirme için bağlaşımlı tensör ayrıştırma yöntemleri 

  Cemgil, Ali Taylan; Liutkus, Antoine; Kırbız Şimşek, Serap; Şimşek, Serap (TÜBİTAK, 2021)

  Diyalog Geliştirme Için Bağlaşımlı Tensör Ayrıştırma Yöntemleri

• Zamanla Değişen IIR Alçak Geçiren Filtre ile Dinamik Tartım Yöntemi 

  Gülbaş, Mustafa Can; Ayhan, Tuba; Yalçın, Müştak Erhan (2022)

  Sanayide üretimden sevkiyat aşamasına kadar birçok alanda kullanılan otomatik ağırlık kontrol sistemi, üç adet konveyör bant, en az iki adet fotosel, yük hücresi, işlemci, kullanıcı için kontrol ekranı ve reddedici/yönlendirici ...

• Single-slice microwave imaging of breast cancer by reverse time migration 

  Bilgin, Egemen; Cayoren, Mehmet; Joof, Sulayman; Cansız, Gökhan; Yılmaz, Tuba; Akduman, İbrahim (Wiley, 2022)

  Purpose Microwave imaging of breast cancer is considered and a new microwave imaging prototype including the imaging algorithm, the antenna array, and the measurement configuration is presented. The prototype aims to project ...

• An adaptive admittance controller for collaborative drilling with a robot based on subtask classification via deep learning 

  Güler, Berk; Niaz, P. Pouya; Madani, Alireza; Aydın, Yusuf; Başdoğan, Çağatay (Elsevier, 2022)

  In this paper, we propose a supervised learning approach based on an Artificial Neural Network (ANN) model for real-time classification of subtasks in a physical human–robot interaction (pHRI) task involving contact with ...

• An FPGA implementation of givens rotation based digital architecture for computing eigenvalues of asymmetric matrix 

  Köseoğlu, İlayda; Öztürk, Elif; Ayhan, Tuba; Yalçın, Mustak Erhan (IEEE, 2022)

  This paper proposes the digital circuit design that performs the eigenvalue calculation of asymmetric matrices with realvalued elements. Eigenvalues are computed iteratively through the QR algorithm. In the QR algorithm, ...

• A bayesian allocation model based approach to mixed membership stochastic blockmodels 

  Hızlı, Çağlar; Kırbız, Serap (Taylor and Francis Ltd., 2022)

  Although detecting communities in networks has attracted considerable recent attention, estimating the number of communities is still an open problem. In this paper, we propose a model, which replicates the generative ...

• Quasi-newton based inversion method for determining complex dielectric permittivity of 3D inhomogeneous objects 

  Coşğun, Sema; Bilgin, Egemen; Çayören, Mehmet (IEEE, 2022)

  We present a new method for determining the complex dielectric permittivity profile of 3D inhomogeneous dielectric objects from measurements of the scattered electric field vectors in the frequency domain. The method is ...

• Adaptive human force scaling via admittance control for physical human-robot interaction 

  Hamad, Yahya M.; Aydın, Yusuf; Başdoğan, Çağatay (IEEE, 2021)

  The goal of this article is to design an admittance controller for a robot to adaptively change its contribution to a collaborative manipulation task executed with a human partner to improve the task performance. This has ...

• Improving the usage of subword-based units for Turkish speech recognition 

  Çetinkaya, Gözde; Arısoy, Ebru; Saraçlar, Murat (IEEE, 2020)

  Subword units are often utilized to achieve better performance in speech recognition because of the high number of observed words in agglutinative languages. In this study, the proper use of subword units is explored in ...

• Joint source separation and classification using variational autoencoders 

  Hızlı, Çağlar; Karamatlı, Ertuğ; Kırbız, Serap (IEEE, 2020)

  In this paper, we propose a novel multi-task variational auto encoder (VAE) based approach for joint source separation and classification. The network uses a probabilistic encoder for each sources to map the input data to ...

• Impact of hardware sources on feature selection for online signature verification 

  Orak, Remzi; Ayhan, Tuba (IEEE, 2020)

  This work analyzes time series features gathered from a touchpad which is a part of online signature verification system. A DTW processing unit is implemented on FPGA to be used in time series analysis. To support different ...

• Domain adaptation approaches for acoustic modeling 

  Fakhan, Enver; Arısoy, Ebru (IEEE, 2020)

  In the recent years, with the development of neural network based models, ASR systems have achieved a tremendous performance increase. However, this performance increase mostly depends on the amount of training data and ...

• Feasibility of distorted born iterative method for detecting early stage of heart failure 

  Doğu, Semih; Bilgin, Egemen; Joof, Sulayman; Akıncı, Mehmet Nuri (IEEE, 2020)

  In this paper, we analyze the feasibility of using microwaves to detect early stage of congestive heart failure, which causes water accumulation in the lungs. To this aim, a slice from realistic human torso phantom, which ...

• An FPGA implementation of a RISC-V based SoC system for image processing applications 

  Gholizadehazari, Erfan; Ayhan, Tuba; Ors, Berna (IEEE, 2021)

  The Laplacian filter is one of the fundamental applications in image processing. In our work, the Laplacian filter has been applied to an image, and both hardware and software implementation of the filter has been studied. ...

• An antipodal vivaldi antenna design for torso imaging in a coupling medium 

  Joof, Sulayman; Doğu, Semih; Bilgin, Egemen; Çayören, Mehmet (IEEE, 2021)

  An antipodal Vivaldi antenna designed to operate in a coupling medium with a relative dielectric constant of epsilon(r) = 25 for microwave imaging of torso is presented in this paper. The proposed antenna is similar to the ...

• Highlighting of lecture video closed captions 

  Öztufan, Huseyin Efe; Yıldırım, Göktuğ; Arısoy, Ebru (IEEE, 2020)

  The main purpose of this study is to automatically highlight important regions of lecture video subtitles. Even though watching videos is an effective way of learning, the main disadvantage of video-based education is ...

• Experimental observation of temperature and pressure induced frequency fluctuations in silicon MEMS resonators 

  Pandit, Milind; Mustafazade, Arif; Sobreviela, Guillermo; Zhao, Chun; Zou, Xudong; Seshia A, Ashwin (IEEE, 2021)

  Silicon MEMS resonators are increasingly being adopted for applications in timing and frequency control, as well as precision sensing. It is well established that a key limitation to performance is associated with sensitivity ...

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