Yazar "Özkaraca, Osman" için listeleme
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Artificial neural network-based optimization of geothermal power plants
Çetin, Gürcan; Özkaraca, Osman; Keçebaş, Ali (Elsevier, 2022)In the world, due to limited energy resources, low efficiency of renewable energies, complex and costly energy conversion technology, and environmental pollution, human beings are trying to develop and improve innovative ... -
Büyük ölçekli veri setleri için GPU hızlandırmalı melez bir GA-DVM: CuGA-DVM
Peker, Musa; Özkaraca, Osman (2018)Bu çalışmada Genetik Algoritma (GA) ve Destek Vektör Makinelerinden (DVM) oluşan melez bir yöntemin CUDA (Compute Unified Device Architecture-Birleşik Hesaplama Aygıt Mimarisi) tabanlı hız optimizasyonu gerçekleştirilmiştir. ... -
A comparative evaluation of Gravitational Search Algorithm (GSA) against Artificial Bee Colony (ABC) for thermodynamic performance a geothermal power plant
Özkaraca, Osman (Pergamon-Elsevier Science Ltd, 2018)Optimizing a complex system/problem under real working conditions with optimization methods means ensuring that they operate more efficiently, economical, and eco-friendly. For this purpose, in order to maximize the exergy ... -
Comparative thermodynamic evaluation of a geothermal power plant by using the advanced exergy and artificial bee colony methods
Özkaraca, Osman; Keçebaş, Ali; Demircan, Cihan (Pergamon-Elsevier Science Ltd, 2018)In this study, the thermodynamic performance of a binary geothermal power plant (GPP) is comparatively evaluated using the exergy analysis and optimization method. Thus, in addition to routes to improve the thermodynamic ... -
Development of PID based control strategy in maximum exergy efficiency of a geothermal power plant
Çetin, Gürcan; Özkaraca, Osman; Keçebaş, Ali (Elsevier, 2021)The control strategy insures the efficiency, increased production and safety in new and complicated energy conversion systems. To this end, a thermodynamic model that simulates a real geothermal power plant is developed, ... -
Enerji Tasarruflu Bina Tasarımı için Isıtma ve Soğutma Yüklerini Regresyon Tabanlı Makine Öğrenmesi Algoritmaları ile Modelleme
Kesimal, Betül; Özkaraca, Osman; Peker, Musa (2017)Günümüzde bilişim teknolojileri hemen hemen her alanda kullanılmaktadır. Enerji sektörü de bu alanlardan birisidir. Nüfusun gün geçtikçe artmasıyla birlikte bina sayısı ve binaların enerji talebi de artmıştır. Enerji ... -
Evaluation of the Nexus X-ray rules in blunt thorax trauma
Acar, Ethem; Demir, Ahmet; Yıldırım, Birdal; Kaya, Gökhan; Alataş, Ömer Doğan; Kılınç, Rabia Mihriban; Özkaraca, Osman; Zeybek, Arife (Turkish Assoc Trauma Emergency Surgery, 2020)BACKGROUND: There is still no agreed radiographic rule for the evaluation of blunt thoracic trauma. Emergency physicians want radiography according to their experience and examination findings. Various studies have been ... -
A Fuzzy Logıc Based Clınıcal Decısıon Support System for Emergency Servıces
Özkaraca, Osman; Acar, Ethem; Peker, Musa; Türk, Erdem (2018)Emergency departments are one of the most important units in the hospital where there are special units and many problems. At the beginning of these problems, emergency services are crowded and urgent patient care planning ... -
Ki-67 Proliferasyon İndeksinin Hesaplanmasi için Bilgisayar Destekli Bir Sistem
Özkaraca, Osman; Dere, Yelda; Çetin, Gürcan; Peker, M. (Institute of Electrical and Electronics Engineers Inc., 2017)Neuroendocrine tumors (NET) are a heterogeneous group of tumors that can develop in almost every localization of the body. The study is the computation of the Ki-67 proliferation index, which is an important information ... -
Monkeypox Detection Using CNN with Transfer Learning
Altun, Murat; Gürüler, Hüseyin; Özkaraca, Osman; Khan, Faheem; Khan, Jawad; Lee, Youngmoon (MDPI, 2023)Monkeypox disease is caused by a virus that causes lesions on the skin and has been observed on the African continent in the past years. The fatal consequences caused by virus infections after the COVID pandemic have caused ... -
Multiple Brain Tumor Classification with Dense CNN Architecture Using Brain MRI Images
Özkaraca, Osman; Bağrıaçık, Okan İhsan; Gürüler, Hüseyin; Khan, Faheem; Hussain, Jamil; Khan, Jawad; Laila, Umm e (MDPI, 2023)Brain MR images are the most suitable method for detecting chronic nerve diseases such as brain tumors, strokes, dementia, and multiple sclerosis. They are also used as the most sensitive method in evaluating diseases of ... -
Novel active-passive compensator-supercapacitor modeling for low-voltage ride-through capability in DFIG-based wind turbines
Döşoğlu, M. Kenan; Özkaraca, Osman; Güvenç, Uğur (Springer, 2019)Low-voltage ride-through is important for the operation stability of the system in balanced- and unbalanced-grid-fault-connected doubly fed induction generator-based wind turbines. In this study, a new LVRT capability ... -
Optimization in Wideband Code-Division Multiple Access Systems with Genetic Algorithm-Based Discrete Frequency Planning
Aksoy, Sencer; Özkaraca, Osman (Springer, 2021)One of the most serious problems is how the limited number of requencies (carriers) allocated to operators in broadband code division multiple access systems can be distributed to the base station cells in a way that ... -
Performance analysis and optimization for maximum exergy efficiency of a geothermal power plant using gravitational search algorithm
Özkaraca, Osman; Keçebaş, Ali (Pergamon-Elsevier Science Ltd, 2019)The limited energy resources globally, low efficiency of renewable energies, complicated and costly energy conversion systems and environmental pollution have significantly increased scholar's interest in innovative and ... -
Prediction of traumatic pathology by classifying thorax trauma using a hybrid method for emergency services
Karacı, Abdülkadir; Özkaraca, Osman; Acar, Ethem; Demir, Ahmet (Institution of Engineering and Technology, 2021)In recent years, data mining and algorithm-based methods have been used frequently for the prediction and diagnosis of various diseases. Traumas, being one of the significant health problems in the world, are also one of ... -
A Revıew on Usage of Optımızatıon Methods in Geothermal Power Generatıon
Özkaraca, Osman (2018)In the study, a general assessment has been carried out on the optimization studies in geothermal power energy systems. In consideration of such assessments, an optimization guide has been proposed that can be helpful for ... -
Use of Orange Data Mining Toolbox for Data Analysis in Clinical Decision Making: The Diagnosis of Diabetes Disease
Peker, Musa; Özkaraca, Osman; Şaşar, Ali (Igi Global, 2018)Diabetes is a life-long illness which occurs as a result of lack of insulin hormone or ineffectiveness of insulin hormone. Blood sugar, fructosamine, and hemoglobin A1c (HbA1c) values are widely used for diagnosis of this ...
