
Utku KöseT.C. Süleyman Demirel Üniversitesi | SDU · Department of Computer Engineering
Utku Köse
PhD.
Visiting Researcher - University of North Dakota, USA
About
307
Publications
278,095
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2,458
Citations
Citations since 2017
Introduction
U.K. received B.S. from Gazi Univ. TR (2008-as faculty valedictorian), M.S. from Afyon Kocatepe Univ. (AKU) TR (2010) and Ph.D. from Selcuk Univ. TR in computer eng.
(2017). He was Res.Assist. / Lect. / Voc. School-Vice Direct. in AKU (2009-2012), Lect. Dr. / Res. Center Director in Usak Univ. (2012-2017) and Assist. Prof. in Suleyman Demirel Univ. (2017-2019). Now, he is Assoc. Prof. in Suleyman Demirel Univ., TR. His research interests: artificial intelli., ethical artif. intelli. opt., chaos, dist. educ., e-learn., comp. educ., comp. science.
Additional affiliations
September 2023 - present
November 2019 - present
November 2019 - present
Education
September 2010 - August 2017
September 2008 - June 2010
September 2004 - June 2008
Publications
Publications (307)
Central nervous system (CNS) cancer is among the top 11 causes of cancer-related fatalities worldwide. Classification and early diagnosis of various tumor forms are crucial in CNS cancer analysis to protect patients from mortality. Conventional diagnostic methods, could be subject to high misdiagnosis rate due to inter & intra-observability variati...
Blockchain systems are popular technologies that have recently emerged. As a decentralized system, blockchain technology has provided many solutions and many problems associated with these solutions. One of its most important problems is that while performing hash calculations very intensively to create a new consensus block, it reduces its efficie...
BLDC (Brushless DC) motors have advantages over asynchronous motors and dc motors in various aspects. Particularly in electric bicycles and flying cars, BLDC motors are utilized widely. Electric bicycles and flying cars are becoming increasingly popular, and as a result, the significance of BLDC motors and their cost-effective and efficient utiliza...
In today’s world, smart healthcare supports the out-of-hospital concept, which transforms and offers higher care standards. This is accomplished with individual requirements with the help of public opinion. Moreover, smart healthcare systems are generally designed to sense individual health status data, which can be forwarded to clinical profession...
Discussing the use of artificial intelligence (AI) in healthcare, explainability is a highly contentious topic. AI-powered systems may be superior at certain analytical tasks, but their lack of explanation continues to breed distrust. Because the majority of existing AI systems are incomprehensible and opaque, it is unlikely that AI technologies wi...
Today, as a result of the development of remote sensing techniques, the importance of using sensing sensors on unmanned ground vehicles (UGVs) has increased. Developing sensor technologies are used in many different areas, from natural disasters to the defense industry. Here, among many different scenarios, it is too important to provide immediate...
Retinal disorders are of paramount importance in human life and if they do not receive treatment for retinal disorders, humans may undergo visual complications. The physician may diagnose more easily with optical coherence tomography (OCT) in ophthalmology, where early diagnosis is essential. To date, artificial intelligence has recently been imple...
Bu makale, ağ analizi ve görselleştirme yoluyla ilaç-ilaç etkileşimlerinin karmaşıklığını araştırmaktadır. İlaç-ilaç etkileşimlerini analiz etmek ve ilaçlar arasındaki ilişkileri keşfederek etkileşimli bir görselleştirme aracı sağlamak için ağ tabanlı bir yaklaşım sunulmaktadır. Ağ tabanlı yaklaşım, büyük bir ilaç-ilaç etkileşimi veri kümesine uygu...
İnsanlık üzerinde yaşadığı gezegen ve canlılar için en büyük tehdit olarak bilinmektedir. Dünya üzerindeki en zeki varlık olması dolayısıyla sahip olduğu avantajları kuşkusuz ki gerçek hayattaki problemlerle mücadele etmek için kullanmakta; ancak aşırılıklar dengelerin alt üst olmasına da sebep olmaktadır. Neticede keşifler, icatlar ve teknoloji ol...
Gelişen ve değişen teknolojiler insanoğlunun hayatını büyük oranda etkilemektedir. Bu teknolojik sistemler her ne kadar insanın hayatını kolaylaştırsa / güzelleştirse de dünya iklimine de etki etmektedir. Bu etkiler olumlu ya da olumsuz da olabilmektedir. Bazı olaylar dünyanın her yerinde etki etmemektedir. Çünkü bazı iklim koşulları dünyanın her y...
Dünyanın varoluşundan günümüze kadar geçen süreçte yaşam içerisinde sürekli değişimler meydana gelmiştir. Bu değişimler pozitif yönde olduğu kadar negatif yönde de gerçeklemiştir. Negatif yönlü gerçekleşmelerden günümüzde de sürekli olarak insan yaşamını üst düzeyde etkileyen bir olay ise küreselliğinde sonucunda oluşan iklim değişiklikleridir. İkl...
Software testing identifies defects in software products with varying multiplying effects based on their severity levels and sequel to instant rectifications, hence the rate of a research study in the software engineering domain. In this paper, a systematic literature review (SLR) on machine learning-based software defect severity prediction was co...
Task Scheduling is an enormous challenge in cloud computing model as to map diverse tasks arises from various sources there should be an efficient scheduling mechanism which provision resources dynamically to users based on their corresponding requests. Ineffective scheduling leads to increase in makespan, energy consumption and violates SLA made b...
Kitap, uzun yıllar üniversitelerde "Yapay Zeka", "Bulanık Mantık ", "Yapay Sinir Ağları", "Zeki Optimizasyon" derslerini anlatan yazarların notlarından, ders anlatımı esnasında öğrencilerinden gelen sorulardan ve mesleki tecrübelerinden oluşmaktadır.
Yapay Zekâya Giriş kapsamında ele alınan kitap, Python programlama dilini baz almak suretiyle yapay...
Scoliosis is a disease caused by the spine curving. It is treatable but physiotherapists may do different measurements for curvature angles. That’s a problem affecting the treatment planning. This study aims to develop a Deep Learning-based decision support system, which diagnoses scoliosis and plans treatments via Schroth method. The system has an...
Yapay Zeka teknolojisi, ortaya koyduğu başarılı çözümler sayesinde hayatın her alanında aktif biçimde kullanılmaktadır. Yapay Zeka özellikle insanoğlunun zaman, hafıza ve tutarlık konusunda kısıtlı kaldığı problemlerdeki performansı nedeniyle günümüzün ve geleceğin bilim alanı olarak kabul edilmektedir. Yapay Zeka altyapısı ile üretilen araçlar gen...
The COVID-19 pandemic has significantly affected the healthcare sector across the globe. Artificial Intelligence (AI) and the Internet of Medical Things (IoMT) play important roles when dealing with emerging challenges. These technologies are being applied to problems involving the early detection of infections, fast contact tracing, decision-makin...
Geleneksel ilaç keşfi ve geliştirmesi, yeni bir ilacın keşfi ve pazarlama onayının alınması için çeşitli aşamaları içermektedir. İlaç keşfi zaman çerçevesini azaltmak için yeni stratejiler keşfetmek gerekmektedir. Günümüzde, halihazırda mevcut olan ilaçlar için yeni tedavi edici kullanımların belirlenmesinde ilaç yeniden kullanım önem kazanmıştır....
Image distortion effects, called noise, may occur due to various reasons such as image acquisition, transfer, and duplication. Image denoising is a preliminary step for many studies in the field of image processing. The vast majority of techniques in the literature require parameters that the user must determine according to the noise intensity. Du...
Since the start of the current century, artificial intelligence has gone through critical advances improving the capabilities of intelligent systems. Especially machine learning has changed remarkably and caused the rise of deep learning. Deep learning shows cutting-edge results in terms of even the most advanced, difficult problems. However, that...
This paper introduces and tests a novel machine learning approach to detect Android malware. The proposed approach is composed of Support Vector Machine (SVM) classifier and Harris Hawks Optimization (HHO) algorithm. More specifically, the role of HHO algorithm is to optimize SVM classifier hyperparameters while the SVM performs the classification...
https://www.dogukitabevi.com/yapay-zeka-felsefesi
Bu kitapta Yapay Zeka Felsefesi konusunda güncel konulara değinen; sadece literatürden derlemeler değil, bakış açılarımı da yansıtan bir içerik oluşturmaya çalıştım. Bu noktada kitabın, ilk yayınlandığı 2022 yılı itibariyle, Yapay Zeka Felsefesi konusundaki ilk Türkçe kitap olma özelliği taşıdığını...
Context. Immobilized people face additional barriers in almost all areas of life, including simple operations like turning the light on/off and controlling the air conditioner. The object of the study was to develop the brain-to-thin communication of affordable price to control the smart home appliances by immobilized people from neck to toes.
Obje...
This book was created with the intention of informing an international audience about the latest technological aspects for developing smart agricultural applications. As artificial intelligence (AI) takes the main role in this, the majority of the chapters are associated with the role of AI and data analytics components for better agricultural appl...
Being a second most cause of mortality worldwide, cancer has been identified as a perilous disease for human beings, where advance stage diagnosis may not help much in safeguarding patients from mortality. Thus, efforts to provide a sustainable architecture with proven cancer prevention estimate and provision for early diagnosis of cancer is the ne...
Bilim ve Ütopya Dergisi - Mayıs 2022 Sayısı
COVID-19, küresel pandemi olarak ilan edilmiş, kritik ve ölümcül bir hastalıktır. Küresel salgın tehlikesinin sürmekte olduğu bu süreçte, pandemi ile yüzleşmek için özel politikalar ve planlar yapmak oldukça önemlidir. COVID-19 doğrulanmış verilerini kullanarak, yapay zeka teknikleri ile tahminlerde bulunmak ise gelecek planlarının geliştirilmesine...
Glaucoma causes blindness in long-time untreated cases. So, its early diagnosis is very important. Moving from that, there have been lots of Deep Learning oriented studies to diagnose Glaucoma from color fundus images. However, it is important to know about how humans can trust to black-box level Deep Learning models in their decision makings. In t...
Fake COVID-19 tweets are dangerous since they are misinformative, completely inaccurate, as threatening the efforts for flattening the pandemic curve. Thus, aside the COVID-19 pandemic, dealing with fake news and myths about the virus constitute an infodemic issue, which must be tackled by ensuring only valid information. In this context, this stud...
Iron (Fe) chelating medicines and Histone deacetylase (HDAC) inhibitors are two therapy options for hereditary Friedreich's Ataxia that have been shown to improve clinical results (FA). Fe chelation molecules can be used to minimize the quantity of stored Fe, and HDAC inhibitors can be used to boost the expression of the Frataxin (FXN) gene in the...
Fake COVID-19 tweets are dangerous since they are misinformative, completely inaccurate, as threatening the efforts for flattening the pandemic curve. Thus, aside the COVID-19 pandemic, dealing with fake news and myths about the virus constitute an infodemic issue, which must be tackled by ensuring only valid information. In this context, this stud...
Paralysis caused by physical trauma is a common disease today, with approximately 30% of paralysis caused by this trauma. The disease in question both physically restricts mobility and brings along psychological problems. Especially in advanced ages, paralysis becomes much more difficult and requires serious care since it causes many effects in eld...
Doç. Dr. Utku KÖSE ile Yapay Zeka kapsamındaki etik tartışmalarına ilişkin bir röportaj.
Gelişen Yapay Zekâ (YZ) çözümler, her geçen zaman çok daha zorlu problemler için başarılı sonuçlar ortaya koymaktadır. Bu çözümlerin gelişimi, bilgi ve iletişim teknolojilerindeki etkin değişimler ve yine YZ literatüründeki yenilikçi çalışmalarla bağlantılıdır. Ancak YZ’nin farklı alanlara nüfuz etmesi ve gelişen-değişen çözümlerin çok daha fazla p...
Early diagnosis of intracranial hemorrhage significantly reduces mortality. Hemorrhage is diagnosed by using various imaging methods and the most time-efficient one among them is computed tomography (CT). However, it is clear that accurate CT scans requires time, diligence, and experience. Computer-aided design methods are vital for the treatment b...
In today's world that called technology age, smartphones have become indispensable for users in many areas such as internet usage, social media usage, bank transactions, e-mail, as well as communication. The Android operating system is the most popular operating system that used with a rate of 85.4% in smartphones and tablets. Such a popular and wi...
Artificial Intelligence (AI), the most prominent technology of recent times, continues to make a name for itself with many studies not only in the field of software and informatics, but also in the health sector. AI, which has changed the direction of the healthcare industry, has tackled many issues such as data collection, machine learning, drug d...
Skolyoz, omurganın eğrilmesi ile birlikte omurga genel yapısını deforme eden bir hastalıktır. Skolyoz tanı ve tedavi aşamasında çeşitli yöntemler olmakla birlikte, temel amaç Cobb açısı adı verilen eğrilik açısını azaltarak Skolyoz seviyesini düşürme çerçevesinde şekillenmektedir. Cobb açısı ölçümü esasında uzman tarafından, omurga röntgen filmleri...
In Medicine Deep Learning has become an essential tool to achieve outstanding diagnosis on image data. However, one critical problem is that Deep Learning comes with complicated, black-box models so it is not possible to analyze their trust level directly. So, Explainable Artificial Intelligence (XAI) methods are used to build additional interfaces...
In December 2019, a new form of coronavirus named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) started spreading in Wuhan, China. According to the situation report-95 published by the World Health Organization (WHO), the coronavirus disease spread rapidly to 213 countries and territories by April 24, 2020, with the number of confirm...
Data Science for COVID-19, Volume 2: Societal and Medical Perspectives presents the most current and leading-edge research into the applications of a variety of data science techniques for the detection, mitigation, treatment and elimination of the COVID-19 virus. At this point, Cognitive Data Science is the most powerful tool for researchers to fi...
Thanks to rapid technological developments in terms of Computational Intelligence, smart tools have been playing active roles in daily life. It is clear that the 21st century has brought about many advantages in using high-level computation and communication solutions to deal with real-world problems; however, more technologies bring more changes t...
Yapay Zekâ ile ilgili sıkça tartışılan ve çözüme kavuşturulamayan konular, genellikle insanla bağlantılı soyut unsurlara dayanmaktadır. Bu unsurlar arasında yer alan etik, geniş etki alanı ve felsefi karakteri sebebiyle yapay zekâ tartışmaları içerisinde önemli bir popülarite kazanmıştır. Bu kitap; Yapay Zekâ Etiği başlığı altında incelenebilecek e...
The number of cases has exceeded 200 million and the number of deaths has exceeded 4 million. In this study, the symptoms and results of covid-19 were modeled with fuzzy logic and evaluated. In the model, the symptoms of the virus such as fever, dry cough, fatigue, loss of taste and smell, permanent pain in the chest, travel history, and sore throa...
Main objective of this study is to introduce an expert system-based mHealth application that takes Artificial Intelligence support by considering previously introduced solutions from the literature and employing possible requirements for a better solution. Thanks to that research study, a mobile software system having Artificial Intelligence suppor...
Call for 'Full' Chapters (Deadline 10 October 2021)
Purpose
Online learning is essential in today’s world. The COVID-19 has resulted in shutting down all the universities across the globe. Countries like India and Turkey (lower-income countries) are suffering a lot in giving the best classroom practice to their students through online mode. The entire way of teaching-learning has changed drastically...
Derin öğrenme teknikleri özellikle 2000’li yılların başından bu yana yapay zeka alanının en önemli temsilcileri olarak bilinmektedir. Bu teknikler birçok farklı alanda yaygın bir biçimde kullanılıyor olsa da özellikle sağlık alanındaki başarılı performansları dikkatleri daha çok çekmektedir. Ancak bu tekniklerin geleneksel makine öğrenmesi teknikle...
Time series analysis is widely used in the field of health. Data obtained from patients vary according to time. Diagnosis, classification and follow-up of the disease are made with the help of sensors placed on the patients. One of the sensors placed in patients is EEG (Electroencephalogram). EEG is used to receive signals from the brain. These sig...
Recently, deep learning techniques have achieved significant success in medical image analysis. In this article, deep learning methods have been applied to separate brain magnetic resonance (MR) images into different abnormalities and healthy classes. The sectional brain MR of brain images is used as a database from the Open Access Imaging Studies...
Artificial intelligence systems are widely used in all fields of life. While the solutions of artificial intelligence have had phenomenal success there is also a dangerous side employing efforts to design attack techniques against Artificial Intelligence and its sub-field, machine learning. Thanks to such techniques, intelligent systems can be fool...
Cybersecurity is a very emerging field that protects systems, networks, and data from digital attacks. With the increase in the scale of the Internet and the evolution of cyber attacks, developing novel cybersecurity tools has become important, particularly for Internet of things (IoT) networks. This paper provides a systematic review of the applic...
This chapter mainly focuses on the detection and classification of brain tumor. Detection and classification of brain tumor is a fundamental problem in computer-aided diagnosis for biomedical applications. The medical image classification difficulties can be efficiently solved with the help of transfer learning, considering the deep learning percep...
COVID-19 pandemic has significantly changed our lives. Countries are introducing social distancing measures, including lockdown, to avoid the spread of infection. Organisations are implementing new ways of continuing their business by facilitating work from home and avoiding contacts using the Internet of Medical Things (IoMT), Internet of Healthca...
Cybersecurity is a very emerging field that protects systems, networks, and data from digital attacks. With the increase in the scale of the Internet and the evolution of cyber attacks, developing novel cybersecurity tools has become important, particularly for Internet of things (IoT) networks. This paper provides a systematic review of the applic...
The place of the Turkish agricultural sector in world agriculture is very important. Many different activities focused on agriculture are widely carried out in Turkey. Greenhouse cultivation, which is one of these fields of activity, is also very popular in and around Antalya province. Undoubtedly, it is necessary to cope with various environmental...
Agriculture is one of the most fundamental human activities. Agriculture is the key sector for any developing country. As our farming capacity has expanded, usage of resources such as land, fertilizer, and water have grown exponentially. In order to establish digital smart agriculture, artificial intelligence (AI) can play anaggressive role. This b...
Osteoporosis occurs due to micro-architectural deterioration of the bone tissues with an increased risk of bone fragility, which can cause fractures in the bone without much pressure applied to it. The T-score of a person’s bone density report can be used to calculate the difference between BMD to that of healthy bones. Currently, osteoporosis is d...