Erişim şekli için "info:eu-repo/semantics/closedAccess" Bilgisayar Mühendisliği listeleme
Toplam kayıt 51, listelenen: 1-20
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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 ... -
Arttırılmış Oransal Seyrüsefer Güdümüne Gözleyici Etkisinin Farklı Hedef Modellerine Göre İncelenmesi
(Institute of Electrical and Electronics Engineers Inc., 2022)In this study, a new three-dimensional (3D) guidance law based on an the augmented proportional navigation guidance law utilizing a disturbance observer (DOB) technique is proposed considering different target models. The ... -
Beyin Bilgisayar Arayüzü Tabanli Görsel Tespit Sistemi
(Institute of Electrical and Electronics Engineers Inc., 2017)Bu çalışmada görsel verilerin EEG sinyali üzerinde meydana getirdiği p300 bileşeni kullanılarak örüntü tanıma tabanlı beyin bilgisayar ara yüzü geliştirilmiştir. EMOTIV EPOC+ kayıt cihazı ve OPENVIBE yazılımı kullanılarak ... -
Case Study: Deep Convolutional Networks in Healthcare
(Springer Verlag, 2020)Technological improvements lead big data producing, processing and storing systems. These systems must contain extraordinary capabilities to overcome complexity of the big data. Therefore, the methodologies utilized for ... -
Control System Implementation on an FPGA Platform
(Elsevier, 2016)This paper presents PID and SMC control schemes on a Field Programmable Gate Array device (FPGA) for robot manipulators. The implementation of the control systems on FPGA by using optimal hardware resources is one of the ... -
Deep Convolutional Generalized Classifier Neural Network
(Springer, 2020)Up to date technological implementations of deep convolutional neural networks are at the forefront of many issues, such as autonomous device control, effective image and pattern recognition solutions. Deep neural networks ... -
A deep learning architecture for identification of breast cancer on mammography by learning various representations of cancerous mass
(Springer, 2021)Deep Learning (DL) is a high capable machine learning algorithm with the detailed analysis abilities on images. Although DL models achieve very high classification performances, the applications are trending on using and ... -
Deep Learning for COPD Analysis Using Lung Sounds
(Baku State University, 2018)In this study, Hilbert-Huang Transform (HHT) was applied to the lung sounds from RespiratoryDatabase@TR and the statistical features were calculated from the different modulations of the HHT. The statistical features were ... -
Deep Learning on Computerized Analysis of Chronic Obstructive Pulmonary Disease
(Institute of Electrical and Electronics Engineers Inc., 2020)Goal: Chronic obstructive pulmonary disease (COPD) is one of the deadliest diseases in the world. Because COPD is an incurable disease and requires considerable time to be diagnosed even by an experienced specialist, it ... -
Deep learning with 3D-second order difference plot on respiratory sounds
(Elsevier, 2018)The second order difference plot (SODP) is a nonlinear signal analysis method that visualizes two consecutive data points for many types of biomedical signals. The proposed method is based on analysing quantization of ... -
DiCDU: distributed clustering with decreased uncovered nodes for WSNs
(Institution of Engineering and Technology (IET), 2020)This study proposes a distributed cluster-based routing algorithm, distributed clustering with decreased uncovered nodes (DiCDU), alleviating the uncovered node problem occurring after the election of cluster heads. For ... -
Differential convolutional neural network
(Elsevier, 2019)Convolutional neural networks with strong representation ability of deep structures have ever increasing popularity in many research areas. The main difference of Convolutional Neural Networks with respect to existing ... -
ECG based human identification using Second Order Difference Plots
(Elsevier, 2019)Background and objective: ECG is one of the biometric signals that has been studied in peer-reviewed over past years. The developments on the signal analysis methods show that the studies on the ECG would continue unabatedly. ... -
The Effect of Auscultation Areas on Nonlinear Classifiers in Computerized Analysis of Chronic Obstructive Pulmonary Disease
(Springer, 2021)Today, with the rapid development of technology, various methods are being developed for computer assisted diagnostic systems. Computer assisted diagnostic systems allow an objective assessment and help physicians to ... -
Estimation of daily global solar radiation using deep learning model
(Elsevier, 2018)Solar radiation (SR) is an important data for various applications such as climate, energy and engineering. Because of this, determination and estimation of temporal and spatial variability of SR has critical importance ... -
Eşgüdümlü Bileşenler ile Birleştirme Yaklaşımı
(CEUR-WS, 2017)Bu çalışmada bileşen yönelimli sistem geliştirme yaklaşımlarında süreç modeli kullanımını desteklemek üzere farklı kabiliyetler gerektiren bileşen yapıları önerilmektedir. Bu yapılar ile merkezi bir süreç denetimi sağlamak ... -
An Experimental Study on Decomposition: Process First or Structure First?
(Springer Verlag, 2019)This article explores the answer to the question of considering the process or the structure dimensions earlier, in software development where decomposition is a preferred technique for top-down model construction. In this ... -
A fully distributed energy-aware multi-level clustering and routing for WSN-based IoT
(Wiley, 2021)One of the major problems in wireless sensor networks (WSNs) is that resource-constrained sensor nodes consume their limited batteries quickly due to long-distance data communications. The communication distance of the ... -
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 ... -
Görüntü Tabanlı Kamera Konumlandırma İçin Farklı Eniyileme Tekniklerinin Başarım Değerlendirmesi
(Institute of Electrical and Electronics Engineers Inc., 2022)In this study, the performance evaluation of different optimization methods in calculating the change of camera movement, in other words the camera position and angle, was made on images taken from different views with the ...