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Toplam kayıt 64, listelenen: 21-30
Deep learning model developed by multiparametric MRI in differential diagnosis of parotid gland tumors
(Springer, 2022)
Purpose: To create a new artificial intelligence approach based on deep learning (DL) from multiparametric MRI in the differential diagnosis of common parotid tumors. Methods: Parotid tumors were classified using the ...
Enhancement of Heat Transfer Performance of a Heat Pipe by Using Calcium Magnesium Carbonate-Ethylene Glycol/Water Nanofluid with Sodium Dodecylbenzene Sulfonate
(Budapest University of Technology and Economics, 2022)
In this paper, the effect of using CaMg(CO3)2/Ethylene Glycol-water (50:50%) as a working fluid on the thermal performance of thermosyphon heat pipe was experimentally studied. Nanofluid was prepared by two-step method ...
Evaluation of the relationship between nasal septal deviation and development of facial asymmetry with anthropometric measurements depending on age: The effect of nasal septum deviation on craniofacial asymmetry and somatotype
(Elsevier, 2022)
Aim: It was aimed to determine the change of facial asymmetry resulting from nasal septal deviation (SD) depending on age, gender, degree of deviation and the affected area besides the effect of SD on somatotype and ...
Ensemble Residual Network Features and Cubic-SVM Based Tomato Leaves Disease Classification System
(International Information and Engineering Technology Association, 2022)
The need for automatic disease detection applications that can help farmers in the detection
of agricultural product diseases is increasing day by day. Convolutional Neural Network
(CNN) is a very popular field in image ...
Chemistry and engineering of brush type polymers: Perspective towards tissue engineering
(Elsevier, 2022)
In tissue engineering, it is imperative to control the behaviour of cells/stem cells, such as adhesion, proliferation, propagation, motility, and differentiation for tissue regeneration. Surfaces that allow cells to behave ...
MTU-COVNet: A hybrid methodology for diagnosing the COVID-19 pneumonia with optimized features from multi-net
(elsevier, 2022)
Purpose
The aim of this study was to establish and evaluate a fully automatic deep learning system for the diagnosis of COVID-19 using thoracic computed tomography (CT).
Materials and methods
In this retrospective study, ...
Synthesis and analysis of TiO2 nanotubes by electrochemical anodization and machine learning method for hydrogen sensors
(Elsevier, 2022)
The conductometric hydrogen gas sensors were used to explore TiO2 nanotubes in this study. TiO2 nanotubes are synthesized by anodization of the titanium foils using a neutral 0.5% and 1% (wt) NH4F in glycerol solution ...
Arsenic and trace metal concentrations in different vegetable types and assessment of health risks from their consumption
(Elsevier, 2022)
The levels of 12 trace metal (loid)s (TMs) in 10 vegetable types including leafy vegetables (purslane, purple basil and parsley) and fruiting vegetables (pepper, tomato, eggplant, cucumber, zucchini, green bean and melon) ...
Determining the relationship between loneliness and depression in adolescents during the COVID-19 pandemic: A cross-sectional survey
(Wiley, 2022)
Purpose: The aim of the present study is to determine the relationship between loneliness and depression felt by adolescents during the COVID-19 pandemic. Design and Methods: The study sample consisted of 423 adolescents ...
Interaction of nickel ferrite nanoparticles with nucleic acids
(Elsevier B.V. All, 2022)
In this article, we introduced an electrochemical biosensor employing graphite electrodes (GE) decorated with Nickel ferrite (NiFe2O4) nanoparticles for nucleic acid detection. NiFe2O4 nanoparticles in a narrow size ...