Browsing Mekatronik Mühendisliği Bölümü Makale Koleksiyonu by Title
Now showing items 6-16 of 16
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Brain tumor classification by using a novel convolutional neural network structure
(2022)Brain tumors located in the skull are among the health problems that cause serious consequences. Rapid and accurate detection of brain tumor types will ensure that the patient receives appropriate treatment in the early ... -
Classification of brain tumors from MR images using deep transfer learning
(2021)Classification of brain tumors is of great importance in medical applications that benefit from computer-aided diagnosis. Misdiagnosis of brain tumor type will both prevent the patient from responding effectively to the ... -
Classification of plutonic rock types using thin section images with deep transfer learning
(2021)Classification of rocks is one of the basic parts of geological research and is a difficult task due to the heterogeneous properties of rocks. This process is time consuming and requires sufficiently knowledgeable and ... -
Determination of COPD severity from chest CT images using deep transfer learning network
(2022)The purpose of this study is to present a solution to the problem of detecting the severity of Chronic Obstructive Pulmonary Disease (COPD) from chest CT images using deep transfer learning network. The study has a novelty ... -
Determination of Pneumonia in X-ray Chest Images by Using Convolutional Neural Network
(2021)Pneumonia is one of the major diseases that cause a lot of deaths all over the world. Determining pneumonia from chest X-ray (CXR) images is an extremely difficult and important image processing problem. The discrimination ... -
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 ... -
Experimental investigation of the effects of boron oil additive in internal combustion engine
(Elsevier, 2023)Using additives to engine oils increases engine performance, extending engine maintenance life, boosting the competitiveness of mineral-based oils technically and economically. In this study, the effects of liquid boron ... -
Joint performance of medium carbon steelaustenitic stainless steel double-sided TIG welds
(De Gruyter, 2023)AISI 1040 and AISI 304 steel plates of 10 mm were joined without pretreatment by double-sided TIG arc welding (DSAW). Joints were manufactured by using welding currents of 420, 440, and 460 A. The microstructural variations ... -
Reducing the Roughness and Sound Intensity by Optimization of Cutting Parameters in Processing of AISI 2714 Steel Material on CNC Milling Machine
(2022)Within the scope of this study, optimization of cutting parameters (feed rate, cutting speed and depth of cut) was aimed in order to reduce the noise level that occurs during the processing of AISI 2714 steel on CNC milling ... -
Structural analysis of Cu-based FeCr reinforced composites prepared by mechanical alloying Gefügeanalyse von Cu-basierten und FeCrverstärkten Verbundwerkstoffen hergestellt durch mechanisches Legieren
(De Gruyter, 2023)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 ... -
TIG-weldability of AISI 430 and DUROSTAT 500 grade
(De Gruyter, 2023)In this study, 10mm thick DUROSTAT 500 and AISI 430 grades were joined by double sided keyhole tungsten inert gas (K-TIG) welding method without using filler material. The characterization of the microstructure of the weld ...