• Validation of the short version (TLS-15) of the triangular love scale (TLS-45) across 37 languages 

  Kowal, Marta; Sorokowski, Piotr; Dinic, Bojana M.; Pisanski, Katarzyna; Gjoneska, Biljana; Frederick, David A.; Demirtaş, Ezgi Toplu (Springer, 2023)

  Love is a phenomenon that occurs across the world and affects many aspects of human life, including the choice of, and process of bonding with, a romantic partner. Thus, developing a reliable and valid measure of love ...

• Design and FPGA implementation of UAV simulator for fast prototyping 

  Akyavaş , İrfan; Aydın, Yusuf; Ayhan, Tuba (IEEE, 2023)

  As production and advances in motor and battery cell technology progress, unmanned aerial vehicles (UAVs) are gaining more and more acceptance and popularity. Unfortunately, the design and prototyping of UAVs is an expensive ...

• Live demo: design and FPGA implementation of a component level uav simulator 

  Akyavaş , İrfan; Aydın, Yusuf; Ayhan, Tuba (IEEE, 2023)

  In this work, we introduce a fast, component based simulation environment for UAVs. The simulator framework is proposed as combination of three sub-models: i. battery, ii. BLDC and propeller, iii. dynamic model. The model ...

• Differential microwave imaging of cerebral hemorrhage via dort method 

  Bilgin, Egemen; Dilman, İsmail; Doğu, Semih (IEEE, 2023)

  Bleeding in the brain tissues may cause fatal health conditions and continuous monitoring of the change in this blood accumulation becomes important in the first few hours after the incident. The continuous post-event ...

• CNN-Based emotion recognition using data augmentation and preprocessing methods 

  Kayaoğlu, Bora; Toktaş, Tolga; Kırbız, Serap (Institute of Electrical and Electronics Engineers Inc., 2023)

  In this paper, a system that recognizes emotion from human faces is designed using Convolutional Neural Networks (CNN). CNN is known to perform well when trained with a large database. The lack of large and balanced publicly ...

• Foundations of Neuroscience-Based Learning 

  Dorantes-Gonzalez, Dante Jorge (Springer International Publishing, 2022)

  Traditional learning and teaching approaches such as problem-based or project-based learning, among others, do not explicitly consider emotional-enhanced learning, which is a well-known driver of engagement leading to ...

• Toward a Novel Neuroscience-Based System Approach Integrating Cognitive and Implicit Learning in Education 

  Dorantes-Gonzalez, Dante Jorge; Tsvetkova, Nadezhda; Veledinskaya, Svetlana; Babanskaya, Olesya; Çakar, Tuna (Springer Science and Business Media Deutschland GmbH, 2023)

  Emotional-enhanced learning is a meaningful driver of engagement leading to long-term memory retention in learners, however, traditional approaches such as problem-based learning, and project-based learning, among others, ...

• A Framework for Automatic Generation of Spoken Question-Answering Data 

  Menevşe, M.Ü.; Arısoy, Ebru; Manav, Y.; Özgür, A. (Association for Computational Linguistics (ACL), 2022)

  This paper describes a framework to automatically generate a spoken question answering (QA) dataset. The framework consists of a question generation (QG) module to generate questions automatically from given text documents, ...

• Resolving conflicts during human-robot co-manipulation 

  Al-Saadi, Zaid; Hamad, Yahya M.; Aydın, Yusuf; Küçükyılmaz, Ayşe; Başdoğan, Çağatay (IEEE Computer Society, 2023)

  This paper proposes a machine learning (ML) approach to detect and resolve motion conflicts that occur between a human and a proactive robot during the execution of a physically collaborative task. We train a random forest ...

• Turkish Data-to-Text Generation Using Sequence-to-Sequence Neural Networks 

  Demir, Şeniz (Assoc Computing Machinery, 2023)

  End-to-end data-driven approaches lead to rapid development of language generation and dialogue systems. Despite the need for large amounts of well-organized data, these approaches jointly learn multiple components of the ...

• Robot-Assisted Drilling on Curved Surfaces with Haptic Guidance under Adaptive Admittance Control 

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

  Drilling a hole on a curved surface with a desired angle is prone to failure when done manually, due to the difficulties in drill alignment and also inherent instabilities of the task, potentially causing injury and fatigue ...

• The Tuned Mass Damper as a Subject in Engineering Mechanics Dynamics 

  Dorantes-Gonzalez, Dante Jorge (IEEE, 2022)

  The course of Engineering Mechanics Dynamics is one of the most challenging courses for both mechanical and civil engineering programs, among others. But few universities dare to introduce projects to enhance students' ...

• Mechanical Design of a Haptic Hand Exoskeleton for Tele-Exploration of Explosive Devices 

  Dorantes-Gonzalez, Dante Jorge (IEEE, 2023)

  There are tasks such as remote exploration and manipulation of explosive objects where high dexterity, accuracy, and practicality are necessary. The proposed haptic hand exoskeleton design uses displacement sensors in both ...

• 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)

  Ayrıştırma tabanlı ses modelleme yöntemleri, hesaplama gücünün artmasıyla ve istatistiksel modelleme yöntemlerinin gelişmesiyle birlikte yaygın olarak kullanılmaktadır. Bu yöntemler, ses kodlama, müziksel bilgi çıkarımı, ...

• 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 ...

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