Browsing Araştırma Çıktıları | Scopus İndeksli Yayınlar Koleksiyonu by Department "Mühendislik ve Doğa Bilimleri Fakültesi -- Bilgisayar Mühendisliği Bölümü"
Now showing items 1-20 of 53
-
Analysis of functional brain connections for positive-negative emotions using phase locking value
(Springer, 2017)In this study, we investigate the brain networks during positive and negative emotions for different types of stimulus (audio only, video only and audio + video) in , and bands in terms of phase locking value, a nonlinear ... -
Approximate analytical solutions of a class of non-linear fractional boundary value problems with conformable derivative
(Serbian Society of Heat Transfer Engineers, 2021)In this paper, it is presented that an approximate solution of a class of non-linear differential equations with conformable derivative under boundary conditions by using sinc-Galerkin method that is not used to approximately ... -
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 ... -
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 ... -
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 ... -
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, ... -
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 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 ... -
Deep Learning with ConvNet Predicts Imagery Tasks Through EEG
(Springer, 2021)Deep learning with convolutional neural networks (ConvNets) has dramatically improved the learning capabilities of computer vision applications just through considering raw data without any prior feature extraction. Nowadays, ... -
DeepOCT: An explainable deep learning architecture to analyze macular edema on OCT images
(Elsevier, 2022)Macular edema (ME) is one of the most common retinal diseases that occur as a result of the detachment of the retinal layers on the macula. This study provides computer-aided identification of ME for even small pathologies ... -
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, ... -
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 ...
