• Down Sendromlu Çocukların Eğitimi İçin İnsansı Robot Destekli Türkçe Diyalog Uygulaması 

  Tohma, Kadir; Kutlu, Yakup (BİLECİK ŞEYH EDEBALİ ÜNİVERSİTESİ, 2024)

  Eğitim teknolojilerindeki gelişmelerle birlikte, eğitim alanında robot kullanımı giderek yaygınlaşmaktadır. Dünya çapında, öğrencilerin bilişsel ve sosyal becerilerini geliştiren robotik etkinlikler ve eğitim programları ...

• Detection of Road Damages Using Machine Learning Methods with Data Collected from Various Geographies: A Study on Türkiye 

  Kavcı, Ahmet Cihangir; Cansız,Ömer Faruk (FIRAT ÜNİVERSİTESİ MÜHENDİSLİK FAKÜLTESİ DEKANLIĞI, 2024)

  Karayolu hasarı, özellikle sürücülerin konforunu ve güvenliğini ciddi şekilde etkilemektedir. Yollardaki hasarların tespiti, sadece ulaşım güvenliği açısından değil, aynı zamanda maliyet açısından da büyük önem taşımaktadır. ...

• Aşırı öğütülmüş kalkopirit konsantresinden bakırın nitrik asit ve dikromat ortamında seçimli kazanımı 

  Sarı ,Zeynep Abidin; Turan . Mehmet Deniz (DÜ Mühendislik Fakültesi / Dicle Üniversitesi, 2024)

  Purpose - Employee attitudes towards their professions are assumed to significantly impact productivity and efficiency. Although it is often believed that individuals are engaged in jobs they love, several factors influence ...

• Üç Aşamalı Derin Öğrenme Tabanlı Otomatik Araç Plakası Algılama ve Tanıma Sistemi 

  Yucel,Emre; Isler , Yalcın; Kutlu Yakup (ZONGULDAK BÜLENT ECEVİT ÜNİVERSİTESİ, 2024)

  Autonomous detection and identification of vehicle license plates have become indispensable in places that can be entered by vehicles and require security, such as paid parking exits, highway toll kiosks, mobile security ...

• Graf Sinir Ağları ile İlişkisel Türkçe Metin Sınıflandırma 

  Okur, Halil İbrahim; Tohma, Kadir; Sertbaş, Ahmet (Relational Turkish Text Classification with Graph Neural Networks, 2024)

  Türkçe metin sınıflandırması ve ilişkisel analiz, dilin karmaşık yapısını anlamada ve doğal dil işleme süreçlerini geliştirmede kritik bir rol oynar. Bu çalışma, Türkçe metinlerin sınıflandırılması ve aralarındaki ilişkilerin ...

• DeepCOVIDNet-CXR: Deep learning strategies for identifying COVID-19 on enhanced chest X-rays 

  Altan, Gökhan; Narlı, Süleyman Serhan (Walter de Gruyter GmbH, 2024)

  COVID-19 is one of the recent major epidemics, which accelerates its mortality and prevalence worldwide. Most literature on chest X-ray-based COVID-19 analysis has focused on multi-case classification (COVID-19, pneumonia, ...

• Uncertainty Calculation as a Service: Integrating Cloud-Based Microservices for Enhanced Calibration and DCC Generation 

  Çetinkaya, Anıl; Kaya, Muhammed Çağrı; Danacı, Erkan; Oğuztüzün, Halit (Multidisciplinary Digital Publishing Institute (MDPI), 2024)

  The calibration industry is renowned for its diverse and sophisticated equipment and complex processes, which necessitate innovative solutions to keep pace with rapidly advancing technology. This paper introduces an ...

• Uncertainty Evaluation Using Law Of Propagation And Monte Carlo Simulation Methods With The Autorfpower Measurement Software 

  Danacı, Erkan; Doğan, Aliye Kartal; Çiçek, Engin Can; Çetinkaya, Anıl; Kaya, Muhammed Çağrı; Oğuztüzün, M. S. Halit; Tünay, Gülsün (Konya Teknik Üniversitesi, 2024)

  RF power measurement is essential in RF and microwave metrology. For reliable and accurate power measurement, automatic measurement is preferred. A software application in C#, named AutoRFPower, was developed for automatic ...

• Reduced order infinite impulse response system identification using manta ray foraging optimization 

  Mahata, Shibendu; Herencsar, Norbert; Baykant Alagöz, Barış; Yeroğlu, Celaleddin (Elsevier, 2024)

  This article presents a useful application of the Manta Ray Foraging Optimization (MRFO) algorithm for solving the adaptive infinite impulse response (IIR) system identification problem. The effectiveness of the proposed ...

• Finger movement recognition using machine learning algorithms with tree-seed algorithm 

  Karakul, Muhammed Sami; Gökçen, Ahmet (TÜBİTAK, 2024)

  Electromyography (EMG) signals have been used to recognize various actions of hand movements, finger movements, and hand gestures. This paper aims to improve the classification accuracy of EMG signals while decreasing the ...

• Uncertainty Calculation-as-a-Service: Microservice-Based Metrology Applications 

  Çetinkaya, Anıl; Kaya, Muhammed Çağrı; Bzuneh, Teklie Belay; Oğuztüzün, Halit (Springer, 2024)

  The calibration industry faces significant challenges due to its diverse and sophisticated equipment and complex traditional processes. Rapidly advancing technology highlights existing challenges while inspiring the adoption ...

• Otonom Su Altı Aracının Dinamik Kontrolü için PID Kayma Yüzeyli Kayan Kipli Kontrol Şeması 

  Gürsoy-Demir, Handan (Institute of Electrical and Electronics Engineers Inc., 2024)

  Bu çalı¸smada, otonom su altı aracının dinamik sistemi için bir kayan kipli kontrol yöntemi geli¸stirilmi¸stir. Kontrol yönteminde, PID formuna sahip bir kayma yüzeyi olu¸sturulmu¸s ve bu kayma yüzeyine göre kayan kipli ...

• Deep learning-based autonomous harvesting robot design for kumquat fruit 

  Gündüz, Taner; Dersuneli, Mehmet; Kutlu, Yakup (Gazi Üniversitesi, 2024)

  Purpose: The main purpose of this study is to provide an autonomous solution supported by artificial intelligence forharvesting processes where the labor problem is felt most in agricultural areas. Theory and Methods: ...

• Relational Turkish Text Classification Using Distant Supervised Entities and Relations 

  Okur, Halil İbrahim; Tohma, Kadir; Sertbaş, Ahmet (Tech Science Press, 2024)

  Text classification, by automatically categorizing texts, is one of the foundational elements of natural language processing applications. This study investigates how text classification performance can be improved through ...

• Trainable Self-Guided Filter for Multi-Focus Image Fusion 

  Karacan, Levent (Institute of Electrical and Electronics Engineers Inc., 2023)

  Cameras are limited in their ability to capture all-in-focus images due to their limited depth of field. This results in blurriness for objects too far in front of or behind the focused point. To overcome this limitation, ...

• Gish: a novel activation function for image classification 

  Kaytan, Mustafa; Aydilek, İbrahim Berkan; Yeroğlu, Celaleddin (Springer, 2023)

  In Convolutional Neural Networks (CNNs), the selection and use of appropriate activation functions is of critical importance. It has been seen that the Rectified Linear Unit (ReLU) is widely used in many CNN models. Looking ...

• Parameter Selection in Elliptical Fourier Series for Leaf Classification 

  Atasoy, Hüseyin; Kutlu, Yakup (Dokuz Eylül Üniversitesi, 2022)

  Elliptical Fourier series method is a relatively old but powerful method in contour analysis. We have previously implemented this method as a module for a computer program called “BioMorph”. There are two significant ...

• CLAHE based Enhancement to Transfer Learning in COVID-19 Detection 

  Altan, Gökhan; Narlı, Süleyman Serhan (Gazi Akademi Yayıncılık, 2022)

  Early diagnosis of COVID-19 disease becomes possible with the enhancements on feature learning and advanced pre-processing stages for classification of chest X-ray images using deep learning. Besides, high-performance ...

• Performance Analysis of CNN Channel Attention Modules for Image Classification Task 

  Sarıgül, Mehmet (Çukurova Üniversitesi, 2023)

  ncreasing the representation power of convolutional neural networks, a popular deep learning model, is one of the hot study topics recently. Channel attention is a common strategy followed in this regard. In this strategy, ...

• Fibonacci Collocation Method for Solving a Class of Nonlinear Di erential Equations 

  Çakmak, Musa; Alkan, Sertan (Mathematicians AssociationMatematikçiler Derneği, 2023)

  In this study, a collocation method based on Fibonacci polynomials is used for approximately solving a class of nonlinear differential equations with initial conditions. The problem is firstly reduced into a nonlinear ...

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