Güncel Gönderiler: Bilgisayar Mühendisliği
Toplam kayıt 100, listelenen: 1-20
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Graf Sinir Ağları ile İlişkisel Türkçe Metin Sınıflandırma
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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 ... -
Region contrastive camera localization
(Elsevier, 2023)Visual camera localization is a well-studied computer vision problem and has many applications. Recently, deep convolutional neural networks have begun to be utilized to solve six-degree-of-freedom (6-DoF) camera pose ... -
Adaptive second order sliding mode guidance law for missile-target interception with fuzzy logic system
(SAGE Publications, 2023)This paper presents the design of a 3D missile guidance law based on a second order sliding mode control technique employing an adaptive tuning law and a fuzzy gain scheduling. At the outset, the super-twisting sliding ... -
A survey on digital video stabilization
(Springer, 2023)Shakes and jitters are an eventual result of involuntary camera movements during video recording. Digital video stabilization is the elimination of these errors with smart algorithms. This process is usually performed in ... -
Sentiment Analysis in Turkish Question Answering Systems: An Application of Human-Robot Interaction
(Institute of Electrical and Electronics Engineers Inc., 2023)The use of the sentiment analysis technique, which aims to extract emotions and thoughts from texts, has become a remarkable research topic today, where the importance of human-robot interaction is gradually increasing. ...
