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Toplam kayıt 16, listelenen: 1-10
Application of Deep Neural Networks for Disease Diagnosis Through Medical Data Sets
(Springer Science and Business Media Deutschland GmbH, 2019)
In this chapter, a novel classification methodology for medical disease diagnosis is proposed. The proposed classification operator comprises a stacked autoencoder network cascaded with a softmax layer. The classifier is ...
Sensitive Voltammetric Sensor With Two-Dimensional Hexagonal Boron Nitride Nanosheets/ionic Liquid for Ezetimibe Detection
(Parlar Scientific Publications, 2019)
A new sensor approach based on two-dimensional (2D) hexagonal boron nitride (2D-hBN) nanosheets/5-[(thiophene-2-yl-methylene-amino)]-2-mercaptobenzimidazole ionic liquid (ILs) was presented for ezetimibe (EZE) detection ...
Electrochemical activity enhancement of monodisperse boron nitride quantum dots on graphene oxide: Its application for simultaneous detection of organophosphate pesticides in real samples
(Elsevier, 2019)
Organophosphate pesticides are toxic chemicals and not allowed in nearly all countries. It accumulates in water and soil owing to its low solubility and bioaccumulation causing serious health problems. A novel voltammetric ...
A Methyl Parathion Recognition Method Based on Carbon Nitride Incorporated Hexagonal Boron Nitride Nanosheets Composite Including Molecularly Imprinted Polymer
(Electrochemical Society Inc., 2019)
Methyl parathion (MP) is an organophosphate chemical agent. Due to low solubility and bioaccumulation, it results in serious health problems. Electrochemical recognition based on graphitic carbon nitride (CN) incorporated ...
Heterostructures of mesoporous TiO 2 and SnO 2 nanocatalyst for improved electrochemical oxidation ability of vitamin B6 in pharmaceutical tablets
(Academic Press Inc., 2019)
The detection of water soluble vitamins using electrochemical method is widely established in pharmaceutical quality control laboratories, and especially the recent advances in hybrid heterostrucure nanomaterials has devoted ...
Development of Novel Nanocomposites Based on Graphene/Graphene Oxide and Electrochemical Sensor Applications
(Bentham Science Publishers, 2019)
Background: Until now, several methods such as spectroscopic methods and chromatographic techniques have been developed for the determination of biomolecules, drug or heavy metals. Nevertheless, the crucial interference ...
Simultaneous determination of beta-agonists on hexagonal boron nitride nanosheets/multi-walled carbon nanotubes nanocomposite modified glassy carbon electrode
(Elsevier Science BV, 2019)
beta-Agonists are illegally consumed in various products such as food and animal and effect the nutrition distribution owing to change of body fat. In addition, they result in acute poisoning and several symptoms such as ...
Nanosized Fe3O4 incorporated on a TiO2 surface for the enhanced photocatalytic degradation of organic pollutants
(Elsevier Science, 2019)
In this work, precipitation and sol-gel mixed procedures were used to prepare a TiO2@Fe3O4 nanocomposite. The X-ray diffraction (XRD) and selected area electron diffraction (SAED) results unmistakably elucidated the ...
Application of polyoxometalate/carbon nitride nanotubes nanocomposite for directly methanol oxidation
(Pamukkale Univ, 2019)
Fuel cell in this study consumes methanol as fuel and they are very important for clean environment and effective energy conversion. Graphitic carbon nitride (g-C3N4) is carbon allotrope among carbon based nanomaterials. ...
Determination of window size and sliding interval for EMG signals by using genetic algorithm
(Institute of Electrical and Electronics Engineers Inc., 2019)
The selection of window size and sliding interval are one of the important problems encountered in Electromyography (EMG) signal processing. However, there exist a few methods to determine the window size and sliding ...