Güncel Gönderiler: Makale Koleksiyonu
Toplam kayıt 81, listelenen: 41-60
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PID sliding surface-based adaptive dynamic second-order fault-tolerant sliding mode control design and experimental application to an electromechanical system
(Taylor and Francis, 2021)In this paper, an adaptive dynamic PID sliding surface-based second-order fault-tolerant sliding mode controller for speed control of an electromechanical system is proposed. The paper aims to show how to utilise the robust ... -
SecureDeepNet-IoT: A deep learning application for invasion detection in industrial Internet of Things sensing systems
(Wiley, 2021)Deep learning (DL) is a special field of artificial intelligence that has increased its use in various fields and has proved its effectiveness in classification. The feasibility of using many hidden layers and many neurons ... -
A numerical method for solution of integro-differential equations of fractional order
(Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2017)In this study, sinc-collocation method is introduced for solving Volterra integro-differential equations of fractional order. Fractional derivative is described in the Caputo sense often used in fractional calculus. Obtained ... -
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 ... -
DeepGraphNet: Grafiklerin Sınıflandırılmasında Derin Öğrenme Modelleri
(Avrupa Bilim ve Teknoloji Dergisi, 2019)Grafik sınıflandırma modeli henüz yeni bir araştırma alanı olarak ön plana çıkan bir görüntü işleme yaklaşımıdır. Özellikle verilerin görselleştirilmesi ve kolay okunabilirliğini sağlamak için tercih edilen grafikler, ... -
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 ... -
Chronic obstructive pulmonary disease severity analysis using deep learning on multi-channel lung sounds
(Türkiye Klinikleri, 2020)Chronic obstructive pulmonary disease (COPD) is one of the deadliest diseases which cannot be treated but can be kept under control in certain stages. COPD has five severities, including at-risk, mild, moderate, severe, ... -
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 ... -
Current Operational Amplifier Based Voltage-Mode MOS-C All-Pass Filter and Its Application
(Gazi Üniversitesi, 2020)In this work, a novel first order voltage-mode all-pass filter employing single active element named current operational amplifier (COA), two resistors, one capacitor and it's application as sinusoidal oscillator is ... -
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 ... -
Videolara saklanmış 25. kare etkisinin EEG sinyalleri yardımı ile tespit edilmesi
(İskenderun Teknik Üniversitesi / Mühendislik ve Fen Bilimleri Enstitüsü / Elektrik-Elektronik Mühendisliği Anabilim Dalı, 2019)Hayatımızın her yerinde karşımıza çıkan videolar, bir dizi resim dosyasının ardışık olarak dizilmesi sonucu ortaya çıkan görüntü kümesidir. Videonun her 1 saniyesinde görüntülenen resim sayısı Frame Per Second (Fps) olarak ... -
Position resolution study at high energies of a sampling electromagnetic calorimeter whose active material is a scintillator with Peroxide-cured polysiloxane base
(Elsevier, 2020)This study is based on the simulation for the position resolution performances of a sampling electromagnetic calorimeter with a Peroxide-cured polysiloxane based scintillator as an active material. Various algorithms and ... -
Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases
(Oxford Univ Press, 2019)The identification of interactions between drugs/compounds and their targets is crucial for the development of new drugs. In vitro screening experiments (i.e. bioassays) are frequently used for this purpose; however, ... -
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
(Bmc, 2019)Background The Critical Assessment of Functional Annotation (CAFA) is an ongoing, global, community-driven effort to evaluate and improve the computational annotation of protein function. Results Here, we report on the ... -
A numerical approach to solve the model of an electromechanical system
(Wiley, 2018)In this paper, the model of an electromechanical system, which is a system of linear differential equations, is studied. Haar wavelet collocation method (HWCM) is applied for finding the approximate solution of the model. ... -
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 ... -
DEEPScreen: high performance drug-target interaction prediction with convolutional neural networks using 2-D structural compound representations
(Royal Soc Chemistry, 2020)The identification of physical interactions between drug candidate compounds and target biomolecules is an important process in drug discovery. Since conventional screening procedures are expensive and time consuming, ... -
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 ... -
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 ... -
Off-the-Shelf Connectors for Interdisciplinary Components
(IOS Press, 2019)Introduction: Solutions based on software components, especially for heterogeneous constituents such as those pertaining to different disciplines suffer the interoperability burden. Adaptor technologies have been introduced ...
