Ara
Toplam kayıt 39, listelenen: 11-20
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, ...
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 ...
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 ...
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 ...
Deep Learning-based Mammogram Classification for Breast Cancer
(International Journal of Intelligent Systems and Applications in Engineering, 2020)
Deep Learning (DL) is a rising field of researches in last decade by exposing a hybrid analysis procedure including advanced level image processing and many efficient supervised classifiers. Robustness of the DL algorithms ...
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 ...
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 ...
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, ...
DEEPred: Automated Protein Function Prediction with Multi-task Feed-forward Deep Neural Networks
(Nature Publishing Group, 2019)
Automated protein function prediction is critical for the annotation of uncharacterized protein sequences, where accurate prediction methods are still required. Recently, deep learning based methods have outperformed ...