Browsing by Author "Adem, Kemal"
Now showing items 1-13 of 13
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The assessment of different bleaching agents' efficiency on discoloured teeth using image-processing methods
Ozkocak, Ismail; Hekim, Mahmut; Gokturk, Hakan; Adem, Kemal; Comert, Onur (Elsevier, 2020)Background: Although triple antibiotic paste (TAP) has been successfully used as an intracanal medicament for regenerative endodontic treatments, TAP has also been shown to cause discolouration. The aim of this study is ... -
Automatic detection and classification of leaf spot disease in sugar beet using deep learning algorithms
Ozguven, Mehmet Metin; Adem, Kemal (Elsevier, 2019)Depending on the severity of the leaf spot disease in the field, it can cause a loss in sugar yield by 10% to 50%. Therefore, disease symptoms should be detected on-time and relevant measures should be taken instantly to ... -
Classification and diagnosis of cervical cancer with softmax classification with stacked autoencoder
Adem, Kemal; Kilicarslan, Serhat; Comert, Onur (Pergamon-Elsevier Science Ltd, 2019)Cervical cancer is one of the most common cancer types in the world, which causes many people to lose their lives. Cancer research is of importance since early diagnosis of cancer facilitates clinical applications for ... -
Defect detection of seals in multilayer aseptic packages using deep learning
Adem, Kemal; Közkurt, Cemil (2019)Sealing in aseptic packages, one of the healthiest and cheapest technologies to protect food from parasites in the liquid food industry, requires a detailed and careful control process. Since the controls are made manually ... -
Detection of hemorrhage in retinal images using linear classifiers and iterative thresholding approaches based on firefly and particle swarm optimization algorithms
Adem, Kemal; Hekim, Mahmut; Demir, Selim (2019)We propose a novel iterative thresholding approach based on firefly and particle swarm optimization to be used for the detection of hemorrhages, one of the signs of diabetic retinopathy disease. This approach consists of ... -
Diagnosis and classification of cancer using hybrid model based on ReliefF and convolutional neural network
Kilicarslan, Serhat; Adem, Kemal; Celik, Mete (Churchill Livingstone, 2020)Machine learning and deep learning methods aims to discover patterns out of datasets such as, microarray data and medical data. In recent years, the importance of producing microarray data from tissue and cell samples and ... -
Exudate detection for diabetic retinopathy with circular Hough transformation and convolutional neural networks
Adem, Kemal (Pergamon-Elsevier Science Ltd, 2018)In this study, a combined approach of circular Hough transform and Convolutional Neural Network (CNN) algorithms was proposed for detecting exudates, which is one of the signs of diabetic retinopathy disease. The proposed ... -
A hybrid model based on the convolutional neural network model and artificial bee colony or particle swarm optimization-based iterative thresholding for the detection of bruised apples
Hekim, Mahmut; Cömert, Onur; Adem, Kemal (2020)In this study, apple images taken with near-infrared (NIR) cameras were classified as bruised and healthy objects using iterative thresholding approaches based on artificial bee colony (ABC) and particle swarm optimization ... -
Image processing based quality control of the impermeable seams in multilayered aseptic packages
Adem, Kemal; Orhan, Umut; Hekim, Mahmut (Pergamon-Elsevier Science Ltd, 2015)Multilayered aseptic material which guarantees the extended shelf life of liquid foods is turned into an impermeable package by folding packaging machines. Some problems in the machines causes the packages to lose the ... -
Imaging Processing Based Quality Control of Transversal Seams in Tetra Brik Aseptic Cartons
Adem, Kemal; Orhan, Umut (Ieee, 2013)The quality control process of the seal seams at Tetra Brik Aseptic carton package is traditionally performed by specialized workers in liquid food manufacturing businesses. Because it is based on the people, this control ... -
Parçacık Sürü Optimizasyonu Kullanılarak Boyutu Azaltılmış Mikrodizi Verileri Üzerinde Makine Öğrenmesi Yöntemleri İle Prostat Kanseri Teşhisi
Kılıçarslan, Serhat; Adem, Kemal; Cömert, Onur (2019)Mikrodizi verilerine dayanan veri madenciliği analizi, hastalık teşhisi ve farmakoloji alanlarında kullanılmaktadır. Analiz aşamasında yaşanan en önemli zorluk, mikrodizilerin yüksek boyutlu olması ve çok sayıda gereksiz ... -
Prediction of Gold Prices Using Artificial Neural Networks
Adem, Kemal; Cömert, Onur; Zengin, Numan; Hekim, Mahmut (2017)Gold, which has fulfilled the functions that money has in the past years, is now mostly used as a means of saving. Gold has been an investment instrument for Turkish society for many years. In addition, it is perceived as ... -
Weight and Diameter Estimation Using Image Processing and Machine Learning Techniques on Apple Images
Cömert, Onur; Hekim, Mahmut; Adem, Kemal (2017)Classification of table fruits according to size is traditionally hand made. But human factors are the cause of faulty classifications. Automatically performing this process with the machines is important in terms of ...
