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Toplam kayıt 15, listelenen: 1-10
A Real-Time Parallel Image Processing Approach on Regular PCs with Multi-Core CPUs
(Kauno Technologijos Universitetas, 2017)
In this paper a parallel image processing and frame rate stabilization approach is proposed. This approach works on a regular PC with a multi-core CPU. It is implemented under. NET Framework and tested on Microsoft Windows ...
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 ...
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 ...
Makine Öğrenmesini Kullanarak Solunum Sesinin Analizinin Değerlendirilmesi
(Institute of Electrical and Electronics Engineers Inc., 2017)
Solunum seslerinin oskültasyonu, pulmoner
bozukluklar ve bazı kardiyak bozuklukların teşhisi için
göğüs ve sırttan dinlenen sesler için kullanılan ucuz ve etkili bir yöntemdir. Günümüzde bilgisayar destekli analiz ve ...
A new approach to early diagnosis of congestive heart failure disease by using Hilbert-Huang transform
(Elsevier Ireland Ltd., 2016)
Congestive heart failure (CHF) is a degree of cardiac disease occurring as a result of the heart's inability to pump enough blood for the human body. In recent studies, coronary artery disease (CAD) is accepted as the most ...
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 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 ...
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 ...
Smart Robot Arm Motion Using Computer Vision
(Kaunas University of Technology, 2015)
In this study computer vision and robot arm are used together to design a smart robot arm system which can identify objects from images automatically and perform given tasks. A serving robot application, in which specific ...
Kablosuz algılayıcı ağlarda düğümlerin kapsama yarıçapının ağ ömrüne etkisi
(Institute of Electrical and Electronics Engineers Inc., 2017)
Kablosuz algılayıcı ağlarda (KAA) ağ ömrünün iyileştirilmesi için kümeleme ve yönlendirme algoritmalarının yanısıra performans parametreleri de oldukça önemlidir. Düğüm sayısı, ağ alanı ve düğümlerin kapsama yarıçapı gibi ...