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Toplam kayıt 6, listelenen: 1-6
Colonic polyp classification using projection image and convolutional neural network
(Institute of Electrical and Electronics Engineers Inc., 2019)
Nowadays, Computer-aided detection (CAD) systems are used to assist radiologists to detect colonic polyps. In this work, we aimed to develop convolutional neural network based classification system for automated detection ...
Electrohydrodynamic atomization (EHDA) technique for the health sector of polylactic acid (PLA) nanoparticles
(Institute of Electrical and Electronics Engineers Inc., 2019)
Polylactic acid (PLA) is a kind of environmental thermoplastic polymer. Aliphatic polyesters, such as PLA, are a biocompatible polymer with mechanical properties, transparencies and non-toxic properties. These properties ...
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 ...