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Toplam kayıt 7, listelenen: 1-7
Elajik asidin spesifik olarak tanınması için moleküler baskılanmış polimerlerin sentezi
(Institute of Electrical and Electronics Engineers Inc., 2019)
Molecular imprinting technique is based on the fact that functional monomers are formed a complex around the template molecule by covalent or non-covalent interactions, and then these interactions are made stable by using ...
Zıt mevsim video uyaranlarına karşı ölçülen beyin elektriksel dinamiklerinin sınıflandırılması
(Institute of Electrical and Electronics Engineers Inc., 2019)
In this study, it was aimed to classify the electrical signals recorded from human brain during different season (summer-winter) videos as stimuli. Data have been recorded using 14 channels EEG from four male participants. ...
İyonik jelleşme yöntemi ile aloe vera yüklü kitosan nanopartikül sentezi
(Institute of Electrical and Electronics Engineers Inc., 2019)
Aloe Vera, a long-lived and xeromorphic plant, is known for its therapeutic properties. Several beneficial effects have been reported including AV, hypoglycemic, wound and burn healing, gastroprotective, anticancer, ...
Evrişimsel sinir ağları tabanlı MR-MS imgeleri sınıflandırması
(Institute of Electrical and Electronics Engineers Inc., 2019)
Processing of brain images has some difficulties because of the large data size and complexity of the data. Deep learning facilitates hierarchicical feature extraction automatically. However the optimization of deep nets ...
Dynamic time warping based connectivity classification of event-related potentials
(Institute of Electrical and Electronics Engineers Inc., 2019)
Human brain electrical responses measured as Electroencephalogram epochs have different characteristics by means of amplitude and frequency content depending on the conditions and stimuli. Event-related potentials are the ...
Development of a new algorithm for the estimation of the step percentage in compound muscle action potential scan
(Institute of Electrical and Electronics Engineers Inc., 2019)
Compound Muscle Action Potential (CMAP) Scan used in the diagnosis and in the monitoring of Neuromuscular Diseases is based on recording the responses obtained from the gradual stimulation of a peripheral nerve. Clearly ...
Comparison of machine learning techniques on MS lesion segmentation
(Institute of Electrical and Electronics Engineers Inc., 2019)
Multiple sclerosis arises with conformational change in myelin sheath. Magnetic resonance imaging is frequently used in detection of MS. In this study, to figure out MS lesion, machine learning techniques, namely k means ...