Browsing Mekatronik Mühendisliği Bölümü Makale Koleksiyonu by Access Type "info:eu-repo/semantics/closedAccess"
Now showing items 1-7 of 7
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A Joining Dissimilar Material Pairs by Mechanical Locking Method (MLM)
(International Journal of Precision Engineering and Manufacturing, 2021)Several methods that have been used in joining material pairs with diferent properties share many disadvantages. To overcome these disadvantages, the current study introduces mechanical locking method (MLM), which is a new ... -
A numerical investigation of heat transfer from heated surfaces of different shapes
(Pleiades Publishing, 15.04.2021)The object of this study was cooling of inverted and plain triangular profile copper surfaces at a constant heat flux of 1000 W/m2. The cooling of these triangular profile surfaces placed at the bottom of a rectangular ... -
Automatic classification of volcanic rocks from thin section images using transfer learning networks
(2021)In this study, efficient deep transfer learning models are proposed to classify six types of volcanic rocks, and this paper has a novelty in classifying volcanic rock types for the first time using thin section images. ... -
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 ... -
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 ... -
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 ...