Başlık için Makale Koleksiyonu listeleme
Toplam kayıt 69, listelenen: 21-40
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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 ... -
Dynamic coefficient-based cluster head election in wireless sensor networks
(Pamukkale Üniversitesi, 2020)Owing to the fact that the selection of cluster heads has a significant effect on the lifetime of the network, many researches have proposed various cluster head election methodologies for cluster-based WSNs. Although ... -
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. ... -
ECPred: a tool for the prediction of the enzymatic functions of protein sequences based on the EC nomenclature
(BMC, 2018)Background: The automated prediction of the enzymatic functions of uncharacterized proteins is a crucial topic in bioinformatics. Although several methods and tools have been proposed to classify enzymes, most of these ... -
An efficient scheme for solving a system of fractional differential equations with boundary conditions
(Springer International Publishing, 2017)In this study, the sinc collocation method is used to find an approximate solution of a system of differential equations of fractional order described in the Caputo sense. Some theorems are presented to prove the applicability ... -
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 ... -
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 ... -
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 ... -
Kablosuz algılayıcı ağlar için yeni bir dinamik baz istasyonu konumlandırma yöntemi
(Pamukkale Üniversitesi, 2017)Kablosuz algılayıcı ağlarda(KAA) düğümlerin nasıl ve ne şekilde haberleşeceklerinin yanı sıra baz istasyonu konumlandırması da ağın enerji verimli olması, ağ yaşam süresinin uzatılması ve bunlara bağlı olarak gönderilecek ... -
Kablosuz algılayıcı ağlarda küme başı kapsama alanının farklı ağ boyutları ve düğüm sayıları altında ağ yaşam süresine etkisi
(Gazi University, 2019)The problem of energy efficiency due to the limited resources in Wireless Sensor Networks (WSNs) has made cluster-based architectures widespread use in these networks. The studies in literature regarding WSNs aim to make ... -
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 ... -
Localization and Point Cloud Based 3D Mapping with Autonomous Robots
(Avrupa Bilim ve Teknoloji Dergisi, 2019)In this study, localization and environment mapping application is aimed with an autonomous robot. A new algorithm is presented to scan a larger area, to produce faster and more accurate results. The mapping process is ... -
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 ... -
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 ... -
Modelling Routing Attacks on Collection Tree Protocol and Designing an Intrusion Detection System on Real-Time Wireless Sensor Networks
(Academic Platform Journal of Engineering and Science, 2020)Kablosuz Algılayıcı Ağlar (KAA), günümüzde IoT sistemlerin kullanımlarının artması ile birlikte önem kazanan konulardan birisi haline gelmiştir. KAA’yı oluşturan düğümlerin sınırlı kaynaklara sahip olması ile birlikte ... -
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 ... -
Multi-Stage Fish Classification System Using Morphometry
(Parlar Scientific Publications (PSP), 2017)The aim of this study is to create a multi-stage fish classification system with high accuracy rate. Classifications are based on biometric points of the fishes that consists of three main phases, data acquisition, feature ...