Yayın tarihi için Bilgisayar Mühendisliği listeleme
Toplam kayıt 90, listelenen: 21-40
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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 ... -
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 ... -
Q Learning Regression Neural Network
(Neural Network World, 2018)In this work, a Nadaraya-Watson kernel based learning system which owns general regression neural network topology is adapted to Q learning method to evaluate a quick and efficient action selection policy for reinforcement ... -
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 ... -
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 solution method for integro-differential equations of conformable fractional derivative
(Vinca Inst Nuclear Scı, 2018)The aim of this work is to determine an approximate solution of a fractional order Volterra-Fredholm integro-differential equation using by the Sinc-collocation method. Conformable derivative is considered for the fractional ... -
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 ... -
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. ... -
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 ... -
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 ... -
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 ... -
A collocation method for solving boundary value problems of fractional order
(Sakarya Üniversitesi, 2018)In this work, the Sinc-Collocation Method (SCM) is used to find the approximate solutions of the secondorder fractional boundary value problems based on the conformable fractional derivative. For this purpose, a theorem ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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). ...