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Toplam kayıt 8, listelenen: 1-8
Variable active antenna spatial modulation
(INST ENGINEERING TECHNOLOGY-IET, 2015)
In this study, variable active antenna spatial modulation (VASM) technique, which allows the selection of any number of antennas (but not a constant number of active antennas) to transmit a symbol at the same signalling ...
Automated segmentation of the injured spleen
(Springer, 2016)
Purpose: To develop a novel automated method for segmentation of the injured spleen using morphological properties following abdominal trauma. Average attenuation of a normal spleen in computed tomography (CT) does not ...
A CAD of fully automated colonic polyp detection for contrasted and non-contrasted CT scans
(Springer, 2017)
Computer-aided detection (CAD) systems are developed to help radiologists detect colonic polyps over CT scans. It is possible to reduce the detection time and increase the detection accuracy rates by using CAD systems. In ...
Variable antenna-space shift keying for high spectral efficiency in exponentially correlated channels
(Wiley, 2017)
the case of correlated channels. Then, to reduce the correlation effect, a novel antenna codeword construction method that minimizes the pairwise error probability is introduced for exponentially correlated channels. ...
Computer-aided detection (CADx) for plastic deformation fractures in pediatric forearm
(Elsevier, 2016)
Bowing fractures are incomplete fractures of tubular long bones, often observed in pediatric patients, where plain radiographic film is the non-invasive imaging modality of choice in routine radiological workflow. Due to ...
A novel method for pulmonary embolism detection in CTA images
(Elsevier, 2014)
In this paper, we propose a new computer-aided detection (CAD) – based method to detect pulmonary embolism (PE) in computed tomography angiography images (CTAI). Since lung vessel segmentation is the main objective to ...
The effect of recording site on extracted features of motor unit action potential
(Elsevier, 2016)
Motor unit action potential (MUAP), which consists of individual muscle fiber action potentials (MFAPs), represents the electrical activity of the motor unit. The values of the MUAP features are changed by denervation and ...
Classification of juvenile myoclonic epilepsy data acquired through scanning electromyography with machine learning algorithms
(Springer, 2012)
In this paper, classification of Juvenile Myoclonic Epilepsy (JME) patients and healthy volunteers included into Normal Control (NC) groups was established using Feed-Forward Neural Networks (NN), Support Vector Machines ...