Bölüm "Mühendislik ve Doğa Bilimleri Fakültesi -- Bilgisayar Mühendisliği Bölümü" Araştırma Çıktıları | Scopus için listeleme
Toplam kayıt 59, listelenen: 21-40
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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 ... -
Karma K-Ortalamaları Kümeleme ve Karınca Kolonisi Algoritmaları Kullanarak Dijital Mamogram Görüntüleri Üzerinde Bölütleme
(Institute of Electrical and Electronics Engineers, 2018)In this study, It was tried to do segmentation on digital mammography images in order to help expert or radiologist to find cancer region with computer aided. In addition to traditional segmentation methods, It was studied ... -
Large-scale automated function prediction of protein sequences and an experimental case study validation on PTEN transcript variants
(Wiley, 2018)Recent advances in computing power and machine learning empower functional annotation of protein sequences and their transcript variations. Here, we present an automated prediction system UniGOPred, for GO annotations and ... -
LMI-Based Sliding Mode Control Design and Experimental Application to an Electromechanical Plant
(Ieee, 2019)Recently, sliding mode control because of convenience and robustness has become a preferred method. In this paper, LMI-based sliding mode controller is designed for speed control of Precision Modular Servo experiment (PMS). ... -
LU triangularization extreme learning machine in EEG cognitive task classification
(Springer, 2019)Electroencephalography (EEG) has been used as a promising tool for investigation of brain activity during cognitive processes. The aim of this study is to reveal whether EEG signals can be used for classifying cognitive ... -
Makine Öğrenmesini Kullanarak Solunum Sesinin Analizinin Değerlendirilmesi
(Institute of Electrical and Electronics Engineers Inc., 2017)Solunum seslerinin oskültasyonu, pulmoner bozukluklar ve bazı kardiyak bozuklukların teşhisi için göğüs ve sırttan dinlenen sesler için kullanılan ucuz ve etkili bir yöntemdir. Günümüzde bilgisayar destekli analiz ve ... -
Manipulating attributes of natural scenes via hallucination
(Association for Computing Machinery, 2019)In this study, we explore building a two-stage framework for enabling users to directly manipulate high-level attributes of a natural scene. The key to our approach is a deep generative network that can hallucinate images ... -
MOS-C Based Electronically Tuneable Current/Voltage-Mode Third Order Quadrature Oscillator and Biquadratic Filter Realization
(Kauno Technologijos Universitetas, 2021)This paper introduces a new electronically tuneable third order quadrature oscillator and biquadratic filter with MOS-C realization using all grounded passive components. Voltage-mode second order low-pass, high-pass, ... -
MSDeveloper: A Variability-Guided Methodology for Microservice-Based Development
(MDPI, 2022)This article presents a microservice-based development approach, MSDeveloper (Microservices Developer), employing variability management for product configuration through a low-code development environment. The purpose of ... -
Multihop routing with static and distributed clustering in WSNs
(Springer, 2021)Nowadays, Wireless Sensor Networks are one of the fundamental infrastructures for IoT technology. Although WSN has been researched for a decade, providing energy efficiency for resource-constrained sensor nodes is still a ... -
A Multistage Deep Learning Algorithm for Detecting Arrhythmia
(Institute of Electrical and Electronics Engineers, 2018)Deep Belief Networks (DBN) is a deep learning algorithm that has both greedy layer-wise unsupervised and supervised training. Arrhythmia is a cardiac irregularity caused by a problem of the heart. In this study, a multi-stage ... -
A new approach to early diagnosis of congestive heart failure disease by using Hilbert-Huang transform
(Elsevier Ireland Ltd., 2016)Congestive heart failure (CHF) is a degree of cardiac disease occurring as a result of the heart's inability to pump enough blood for the human body. In recent studies, coronary artery disease (CAD) is accepted as the most ... -
A new MOS-C multifunction filter and its third order oscillator application
(Elsevier, 2020)This paper introduces a novel multifunction filter employing single current operational amplifier (COA) with MOS-C implementation and a third order sinusoidal oscillator as its application. The proposed topology provides ... -
NODIC: a novel distributed clustering routing protocol in WSNs by using a time-sharing approach for CH election
(Springer, 2016)Due to the battery limitations, energy-efficient routing is one of the most important issues in WSNs. In this paper, a novel distributed clustering routing protocol (NODIC) is proposed. The algorithm makes three main ... -
A nonlinear disturbance observer-based adaptive integral sliding mode control for missile guidance system
(Taylor and Francis Ltd., 2022)A novel composite three-dimensional (3D) guidance law based on an adaptive integral sliding mode (AISM) control utilizing a nonlinear disturbance observer (NDOB) technique is proposed for missiles. First, an integral sliding ...