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Now showing items 61-69 of 69
Investigating the best automatic programming method in predicting the aerodynamic characteristics of wind turbine blade
(Elsevier, 03.05.2023)
Automatic programming (AP) is a subfield of artificial intelligence (AI) that can automatically generate computer programs and solve complex engineering problems. This paper presents the accuracy of four different AP methods ...
Automatic Detection and Mapping of Dolines Using U-Net Model from Orthophoto Images
(2023)
A doline is a natural closed depression formed as a result of karstification, and it is the most common landform in karst areas. These depressions damage many living areas and various engineering structures, and this type ...
Structural analysis of Cu-based FeCr reinforced composites prepared by mechanical alloying
(WALTER DE GRUYTER GMBHGENTHINER STRASSE 13, D-10785 BERLIN, GERMANY, 01 July 20)
Production and structural investigations of Cu-based FeCr reinforced composite were performed by using mechanical alloying, optical microscope, scanning electron microscope, X-ray diffraction and hardness
test. The increment ...
Weldability and mechanical behavior of CMT welded AISI 430 and HARDOX 500 steels
(WALTER DE GRUYTER GMBHGENTHINER STRASSE 13, D-10785 BERLIN, GERMANY, 31 August )
In this study, AISI 430 and HARDOX 500 steels were joined by cold metal transfer (CMT) welding method.
The properties and microstructural changes of the welding and HAZ regions were investigated by OM and SEM analyses. ...
Deep learning prediction of motor performance in stroke individuals using neuroimaging data
(Elsevier Science Direct, 12/04/2023)
The degree of motor impairment and profile of recovery after stroke are difficult to predict for each individual. Measures obtained from clinical assessments, as well as neurophysiological and neuroimaging techniques have ...
Improving Brain Tumor Classification with Deep Learning Using Synthetic Data
(Tech Science Press, 2023)
Deep learning (DL) techniques, which do not need complex pre-processing and feature analysis, are used in many areas of medicine and achieve promising results. On the other hand, in medical studies, a limited dataset ...
Real-time detection of acromegaly from facial images with artificial intelligence
(Oxford University Press (OUP), 2023)
Objective
Despite improvements in diagnostic methods, acromegaly is still a late-diagnosed disease. In this study, it was aimed to automatically recognize acromegaly disease from facial images by using deep learning methods ...
MI-STEG: A Medical Image Steganalysis Framework Based on Ensemble Deep Learning
(Tech Science Press, 2023)
Medical image steganography aims to increase data security by concealing patient-personal information as well as diagnostic and therapeutic data in the spatial or frequency domain of radiological images. On the other hand, ...
Experimental and Numerical Investigation of the Control of the Flow Structure on Surface Modified Airfoils
(2023)
In this study, experimental and numerical flow analysis was performed on three different blade profiles with a chord length of 165 mm using passive flow control method. The first of the airfoil is the standard NACA 0018 ...