Browsing Araştırma Çıktıları | WoS | Scopus | TR-Dizin | PubMed by ORCID "celik, enes/0000-0002-3282-865X"
Now showing items 1-4 of 4
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Detection and Estimation of Down Syndrome Genes by Machine Learning Techniques
Çelik, Enes; İlhan, Hamza Osman; Elbir, Ahmet (Ieee, 2017)Down syndrome is accepted as the common birth defect in population and diagnosed as more physical development with less cognitive activity than an average human. Early diagnosis of disease play important role for the patient ... -
DETECTION OF FAKE BANKNOTES WITH ARTIFICIAL NEURAL NETWORKS AND SUPPORT VECTOR MACHINES
Çelik, Enes; Kondiloğlu, Adil (Ieee, 2015)The document and banknote counterfeiting remove us as a usurpation of the rights of individuals and institutions. By the advancement of technology special paper, the ink usage in the original banknote, placing watermarks, ... -
Improving Parkinson's Disease Diagnosis with Machine Learning Methods
Çelik, Enes; Omurca, Sevinç İlhan (Ieee, 2019)Parkinson's disease is a type of disease caused by the loss of dopamine-producing cells in the brain. As the amount of dopamine decreases, the symptoms of Parkinson's disease emerge. Parkinson's disease is a slow-developing ... -
The Mesothelioma Disease Diagnosis with Artificial Intelligence Methods
İlhan, Hamza Osman; Çelik, Enes (Ieee, 2016)Asbestos is a carcinogenic substance, and threatens human health. Malignant Mesothelioma disease is one of the most dangerous kind of cancer caused by asbestos mineral. The most common symptom of the disease, progressive ...