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Toplam kayıt 9, listelenen: 1-9
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 ...
NODIC: a novel distributed clustering routing protocol in WSNs by using a time-sharing approach for CH election
(Springer, 2016)
Due to the battery limitations, energy-efficient routing is one of the most important issues in WSNs. In this paper, a novel distributed clustering routing protocol (NODIC) is proposed. The algorithm makes three main ...
Gen ifade profilleri kullanılarak pankreas kanserinin örüntü tanıma yöntemleri ile teşhisi
(Institute of Electrical and Electronics Engineers Inc., 2017)
Pancreatic cancer is the fourth most common cause of cancer-related deaths across the globe and it is one of the most difficult cancer types to recognize early. Early diagnosis of pancreatic cancer is crucial to increase ...
Improving Autonomous Performance of a Passive Morphing Fixed Wing UAV
(Kauno Technologijos Universitetas, 2020)
In this article, simultaneous longitudinal and lateral flight control systems design for both passive and active morphing unmanned aerial vehicles (UAVs) is first time applied for autonomous flight performance maximization. ...
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 ...
Channel selection from EEG signals and application of support vector machine on EEG data
(Institute of Electrical and Electronics Engineers Inc., 2017)
In this study, EEG data recorded during mental arithmetic operations and silent reading were analyzed by discrete wavelet transform and feature vectors were obtained. The obtained feature vectors are classified by Support ...
Improved Modeling of Microwave Structures Using Performance-Driven Fully-Connected Regression Surrogate
(Institute of Electrical and Electronics Engineers Inc., 2021)
Fast replacement models (or surrogates) have been widely applied in the recent years to accelerate simulation-driven design procedures in microwave engineering. The fundamental reason is a considerable-and often prohibitive-CPU ...
Wideband Microwave Absorber Comprising Metallic Split-Ring Resonators Surrounded With E-Shaped Fractal Metamaterial
(Institute of Electrical and Electronics Engineers Inc., 2021)
A specially designed metallic E-shaped fractal-based perfect metamaterial absorber (PMA) with fairly wideband absorptivity in the K- and Ka-bands of the microwave regime was investigated. The PMA top surface is comprised ...
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 ...