- Suleyman Demirel University, Faculty of Engineering, Dept. of Computer Engineering, West Campus, 32260, Isparta / Turkey
- +905325908326 (GSM)
Utku Köse
Suleyman Demirel University, Computer Engineering, Faculty Member
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University of North Dakota, College of Engineering and Mines, Faculty Member add
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Artificial Intelligence, Chaos Theory, Distance Education, E-learning, Computer Education, Computer Science, and 25 moreInformation Security, Web 2.0, Education, Computer Programming, Security, Cryptography, Engineering Education, Blended Learning, Self-directed learning, M-Learning, Internet Communication, Cryptology, Self-learning, Education Management System, Optimization Algorithms, Swarm Intelligence, Fuzzy Logic Control, Learning Management Systems, Computer Education and Instructional Technology, Knowledge-Based Systems, Encryption, Fuzzy Logic, Time Series Analysis and Forecasting, Fuzzy Control, and Augmented Reality edit
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Dr. Utku Kose received the B.S. degree in 2008 from computer education of Gazi University, Turkey as a faculty valedi... moreDr. Utku Kose received the B.S. degree in 2008 from computer education of Gazi University, Turkey as a faculty valedictorian. He received M.S. degree in 2010 from Afyon Kocatepe University, Turkey in the field of computer and D.S. / Ph. D. degree in 2017 from Selcuk University, Turkey in the field of computer engineering. Between 2009 and 2011, he has worked as a Research Assistant in Afyon Kocatepe University. Following, he has also worked as a Lecturer and Vocational School - Vice Director in Afyon Kocatepe University between 2011 and 2012, as a Lecturer and Research Center Director in Usak University between 2012 and 2017, and as an Assistant Professor in Suleyman Demirel University between 2017 and 2019. Currently, he is an Associate Professor in Suleyman Demirel University, Turkey. Kose also gave lectures at other higher education institutions such as Gazi University and Istanbul Arel University. He also works as a Visiting Researcher at the University of North Dakota, USA and holds the Honorary Professor of Artificial Intelligence title at ITM (SLS) Baroda University, India. He has more than 300 publications including articles, authored and edited books, proceedings, and reports. He is also in editorial boards of many scientific journals and serves as one of the editors of the Biomedical and Robotics Healthcare (CRC Press) and Computational Modeling Applications for Existential Risks (Elsevier) book series. His research interest includes artificial intelligence, machine ethics, artificial intelligence safety, biomedical applications, optimization, the chaos theory, distance education, e-learning, computer education, and computer science. edit
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ABSTRACT
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Computer Science, Artificial Intelligence, Fuzzy Logic, Time Series, Forecasting, and 10 moreChaos Theory, Inference, Time series analysis, adaptive neuro fuzzy inference system (ANFIS), Adaptive Neuro-Fuzzy Inference Systems, Time Series Forecasting, Neuro Fuzzy, Artificial Neural Network, Chaotic, and Springer Ebooks
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Nowadays, neural networks have a remarkable importance for medical applications. Because of their advantages such as dealing changing amount of data and resulting to higher accuracies at the end, they are widely used for especially... more
Nowadays, neural networks have a remarkable importance for medical applications. Because of their advantages such as dealing changing amount of data and resulting to higher accuracies at the end, they are widely used for especially medical diagnosis. At this point, there are different kinds of neural networks already provided successful results to the literature. In this study, it is explained that the classification rate (considering the medical diagnosis) can be increased by using intelligent optimization for feature selection and Autoencoder Based Recurrent Neural Network for performing the diagnosis. In this context, the Electro-Search Algorithm (ES) and Autoencoder Based Recurrent Neural Network (ARNN) have been employed for ensuring practical diagnosis over some known disease data sets from the active literature. The obtained findings by the ES-ARNN approach were compared with the findings by alternative techniques. Along the related evaluations, it was seen that the ES-ARNN resulted to high classification success rates for target medical diagnosis data sets and it also had higher diagnosing rates according to alternative techniques. The study also reports some real world experiences from physicians used the introduced solution over original data.
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<i>Abstract </i><br>The definition, diagnosis and classification of Diabetes Mellitus and its complications are very important. First of all, the World Health Organization (WHO) and other societies, as well as scientists... more
<i>Abstract </i><br>The definition, diagnosis and classification of Diabetes Mellitus and its complications are very important. First of all, the World Health Organization (WHO) and other societies, as well as scientists have done lots of studies regarding this subject. One of the most important research interests of this subject is the computer supported decision systems for diagnosing diabetes. In such systems, Artificial Intelligence techniques are often used for several disease diagnostics to streamline the diagnostic process in daily routine and avoid misdiagnosis. In this study, a diabetes diagnosis system, which is formed via both Support Vector Machines (SVM) and Cognitive Development Optimization Algorithm (CoDOA) has been proposed. Along the training of SVM, CoDOA was used for determining the sigma parameter of the Gauss (RBF) kernel function, and eventually, a classification process was made over the diabetes data set, which is related to Pima Indians. The proposed approach offers an alternative solution to the field of Artificial Intelligence-based diabetes diagnosis, and contributes to the related literature on diagnosis processes.<br><b>Find more at:</b><b>https://www.edusoft.ro/brain/index.php/brain/article/view/580</b><br>
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Abstract The most prominent research area in the field of advanced machine vision paradigm for medical imaging applications is brought by the content-based image retrieval (CBIR) technique. With the help of emerging medical imaging... more
Abstract The most prominent research area in the field of advanced machine vision paradigm for medical imaging applications is brought by the content-based image retrieval (CBIR) technique. With the help of emerging medical imaging systems, a patient's medical background can be easily obtained in the form of digitized data such as X-rays, magnetic resonance imaging (MRI), computed tomography, ultrasound, nuclear imaging, and so on. In the past, radiologists manually analyzed the patient's health condition. Now, the medical imaging process provides better information and depiction of the different cases. However, the conventional techniques have created some controversies among the various literatures including insufficient feature set, high semantic gap, and computational time complexity. The methods we have used for content retrieval are gray-level cooccurrence matrix, local binary pattern, color cooccurrence matrix, and support vector machine. MRI data were used for the completion of texture and shape-based retrieval. On improvising the previously ordained results, an algorithm is proposed using semantic image retrieval-based CBIR by combining three-dimensional features. This chapter also emphasizes a detailed comparative analysis of various techniques with the proposed method.
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Advanced technologies for processing data gathered from the real world are widely used for improving tasks in different fields of the life. After especially rise of computer and communication technologies, it has been important to process... more
Advanced technologies for processing data gathered from the real world are widely used for improving tasks in different fields of the life. After especially rise of computer and communication technologies, it has been important to process the data rapidly and reach to automated decisions for making some tasks more practical in the digital world.
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Since its first appearance in both academic and scientific world, Artificial Intelligence has taken many steps, which caused to build up different sub-fields focused on different algorithmic solution approaches.
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Due to the nature of the underwater, underwater images are generally low quality. Therefore, some image enhancement methods are used for clarifying colours, improving the visibility of objects, and increasing image quality. The literature... more
Due to the nature of the underwater, underwater images are generally low quality. Therefore, some image enhancement methods are used for clarifying colours, improving the visibility of objects, and increasing image quality. The literature survey reveals that there are several methods for underwater image enhancement. But most of them contains advanced techniques such as artificial intelligence or some procedure requires expertise knowledge. In this study, a practical method has been proposed to improve underwater images easily. This method consists of the methods: histogram equalization and also contrast-limited adaptive histogram equalization. The performance test of the proposed method has been evaluated by using the entropy value, PSNR (Peak Signal to Noise Ratio) and the MSE (Mean Square Error) considering some existing methods in the literature. The obtained results indicate that the introduced method is very efficient and successful to improve all kind of underwater images.
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Due to the absorption and scattering of light in underwater environment, underwater images have poor contrast and resolution. This situation generally causes to a color, which became more dominant than the other ones. Because of that,... more
Due to the absorption and scattering of light in underwater environment, underwater images have poor contrast and resolution. This situation generally causes to a color, which became more dominant than the other ones. Because of that, analyzing underwater images effectively and identifying any object under the water has become a difficult task. In this paper, an underwater enhancement approach by using differential evolution algorithm was proposed. In the approach, a contrast enhancement in the RGB space is done. By using the approach, both scattering and absorption effects are reduced.
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Approaches performed based on computer supported systems within the medical field gain more popularity day by day. In such systems, Artificial Intelligence techniques are often used for several disease diagnostics. Diabetes is one of... more
Approaches performed based on computer supported systems within the medical field gain more popularity day by day. In such systems, Artificial Intelligence techniques are often used for several disease diagnostics. Diabetes is one of these diseases. In this study, a diabetes diagnosis system based on Support Vector Machines has been proposed. Along training of SVM, Vortex Optimization Algorithm was used for determining the sigma parameter of the Gauss (RBF) kernel function, and a classification process has been done over the diabetes data set related to Pima Indians.
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Content marketing is today&#39;s one of the trendiest marketing approaches employed by companies. Because of its connections with especially social media, it is always important to obtain effective content marketing processes in the... more
Content marketing is today&#39;s one of the trendiest marketing approaches employed by companies. Because of its connections with especially social media, it is always important to obtain effective content marketing processes in the context of a dynamic, flexible communication environment. So, there is a remarkable research interest in making everything better for content marketing. In this paper, it is aimed to develop a software system, which is able to use artificial intelligence for optimizing parameters of a content that may be provided over popular social media environments for marketing purposes. By optimizing the content according to feedbacks from users, it is thought that next presentation of the content may result to improved interest by objective users. Here, it has been tried to be done thanks to a software system.
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The Fuzzy Logic or the Fuzzy Logic Control is an Artificial Intelligence approach/technique, which is especially used for designing and developing intelligent controlling systems. It provides an effective and efficient method to simulate... more
The Fuzzy Logic or the Fuzzy Logic Control is an Artificial Intelligence approach/technique, which is especially used for designing and developing intelligent controlling systems. It provides an effective and efficient method to simulate the human thinking and behaviors in order to ensure the related intelligent controlling structure. In this context, this paper introduces the FL-LAB v2: a software system, which can be used to design and develop different kinds of Fuzzy Logic inference and controlling systems, by using an easy-to-use, interactive and effective software environment. This software system is the second version of pre-introduced software system and it provides more predefined controls to adjust and realize basic features and functions of a typical Fuzzy Logic inference or control system, without having any foreknowledge about the related subject area. Furthermore, the software system has also been designed on simple but visually improved Windows-form application interfa...
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The objective of this paper is to introduce an artificial intelligence based optimization approach, which is inspired from Piaget’s theory on cognitive development. The approach has been designed according to essential processes that an... more
The objective of this paper is to introduce an artificial intelligence based optimization approach, which is inspired from Piaget’s theory on cognitive development. The approach has been designed according to essential processes that an individual may experience while learning something new or improving his / her knowledge. These processes are associated with the Piaget’s ideas on an individual’s cognitive development. The approach expressed in this paper is a simple algorithm employing swarm intelligence oriented tasks in order to overcome single-objective optimization problems. For evaluating effectiveness of this early version of the algorithm, test operations have been done via some benchmark functions. The obtained results show that the approach / algorithm can be an alternative to the literature in terms of single-objective optimization. The authors have suggested the name: Cognitive Development Optimization Algorithm (CoDOA) for the related intelligent optimization approach.
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Nowadays, the majority of human deaths are from heart diseases. For this reason, many studies have been done to improve the early diagnosis of heart diseases and to reduce deaths. These studies are mostly aimed at developing... more
Nowadays, the majority of human deaths are from heart diseases. For this reason, many studies have been done to improve the early diagnosis of heart diseases and to reduce deaths. These studies are mostly aimed at developing computer-aided diagnostic systems using the developing technology. Some computer-aided systems are clinical decision support systems that are developed to more easily detect heart disease than heart sounds or related data
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Nowadays, artificial intelligence supported e-learning scenarios are widely employed by educational institutions in order to ensure better teaching and learning experiences along educational activities. In the context of performed... more
Nowadays, artificial intelligence supported e-learning scenarios are widely employed by educational institutions in order to ensure better teaching and learning experiences along educational activities. In the context of performed scientific studies, positive results often encourage such institutions to apply their intelligent e-learning systems on different types of courses and report advantages of artificial intelligent in especially education field. It seems that the future of education will generally depend on important, multidisciplinary research areas like artificial intelligence. At this point, this study aims to report obtained findings regarding to usage of an artificial intelligence based e-learning software in English language courses. In this sense, the e-learning software has been used for one term in three different countries: Turkey, Italy, and Romania. As an international perspective for their intelligent, e-learning software and the approach, the authors are satisfi...
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Optimization is one of the most remarkable research interests of the Artificial Intelligence field. In time, many different kinds of techniques regarding to ‘intelligent optimization’ have been developed and introduced to the associated... more
Optimization is one of the most remarkable research interests of the Artificial Intelligence field. In time, many different kinds of techniques regarding to ‘intelligent optimization’ have been developed and introduced to the associated literature. In this context, even a sub-research area called as Swarm Intelligence has taken part under the literature of Artificial Intelligence. At this point, objective of this paper is to introduce an alternative Swarm Intelligence based optimization algorithm, which is inspired from algorithmic thinking – reasoning. In detail, solution approach of the algorithms is based on graphs as similar to some already known algorithms like Ant Colony Optimization, and Intelligent Water Drops Algorithms. As different, the algorithm introduced here tries to get the optimum solution on graph-based solution space by employing some logical decision loops that are similar to basic if-then-else structures of algorithms. Because of that the algorithm is called as ...
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The objective of this study is to introduce an intelligent E-Learning software system, which aims to improve students’motivations and academic achievements in computer programming courses. The system is based on an intelligent... more
The objective of this study is to introduce an intelligent E-Learning software system, which aims to improve students’motivations and academic achievements in computer programming courses. The system is based on an intelligent analysisapproach, which is formed via an Artificial Neural Network model trained by Cognitive Development OptimizationAlgorithm. This intelligent approach tries to provide appropriate materials to students by evaluating learning levels. Atthis point, types of learning levels are defined by teachers and associated with specific abilities regarding to computerprogramming. After determining learning levels according to results of the performed activities, it is then possible forsoftware system to provide appropriate materials/applications corresponding types of low learning levels. Thanks to thesystem, it is possible to learn abstract, difficult computer programming based subjects easily. In order to have idea abouteffectiveness of the system, it was evaluated in...
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Following an introduction to the artificial intelligence and decision support systems in the Chap. 1, it is possible to focus on deep learning and exact architectures of deep learning used for medical diagnosis.
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As a critical relation with image processing and deep learning, it is a remarkable research way to work on medical images. As an important disease, diabetic retinopathy has the potential of being analyzed over medical images. Among... more
As a critical relation with image processing and deep learning, it is a remarkable research way to work on medical images. As an important disease, diabetic retinopathy has the potential of being analyzed over medical images. Among adverse events associated with diabetes, there is the diabetic retinopathy as resulting to visual impairment if treatment deficiencies are not solved in long-term. Diabetic retinopathy (DR) is a critical eye disease as a result of the diabetes and is the most widely-seen factor of blindness for the countries in the developed-state.
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In this paper, a novel underwater image enhancement approach was proposed. This approach includes use of a method formed by the wavelet transform and the differential evolution algorithm. In the method, the contrast adjustment function... more
In this paper, a novel underwater image enhancement approach was proposed. This approach includes use of a method formed by the wavelet transform and the differential evolution algorithm. In the method, the contrast adjustment function was applied to the original underwater image first. Then, the homomorphic filtering technique was used to normalize the brightness in the image. After these steps, the underwater image was separated into its R, G, and B components. Then wavelet transform function was performed on each of the R, G, and B channels with Haar wavelet decomposition. Thus, detailed images were obtained for each of the color channels by wavelet transform low-pass approximation (cA), horizontal (cH), vertical (cV) and diagonal (cD) coefficients. Four parameters of weights (w) of each component cA, cH, cV, and cD situated in the R, G, and B color channels were optimized using differential evolution algorithm. In the proposed method, differential evolution algorithm was employed to find the optimum w parameters for Entropy and PSNR in separate approaches. Finally, unsharp mask filter was used to enhance the edges in the image. As an evaluation approach, performance of the proposed method was tested by using the criteria of entropy, PSNR, and MSE. The obtained results showed that the effectiveness of the proposed method was better than the existing techniques. Likewise, the visual quality of the image was also improved more thanks to the proposed method.
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It is thought that deep learning will be more effective in the near future and will be used more in medical applications. Because it does not require too many input parameters and users do not need to have expert knowledge. In addition,... more
It is thought that deep learning will be more effective in the near future and will be used more in medical applications. Because it does not require too many input parameters and users do not need to have expert knowledge. In addition, it is not affected by the increases in the amount of calculation and data, and responds faster than traditional methods. Continuous improvement and development in the field of deep learning will also contribute to this process.
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Engineering, Computer Science, Artificial Intelligence, Simulated Annealing, Differential Evolution, and 11 moreMultiobjective Optimization, Optimization, Electronics Cooling, Metaheuristic Algorithms, Physical sciences, Metaheuristic, Robustness (evolution), Mathematical Optimization, Thermo-electric power, Tec, and ENERGIES
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Computer Science, Distributed Computing, Artificial Intelligence, Human Computer Interaction, Signal Processing, and 11 moreMobile Technology, Augmented Reality, Digital Signal Processing, Mixed Reality, Supercomputing, Virtual Reality, Diagnosis, Mobile Device, Medical Diagnostic System, Heart Sound, and computer mediated reality
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Computer Science, Distributed Computing, Artificial Intelligence, Machine Learning, Engineering Education, and 15 morePattern Recognition, Neural Network, Artificial Neural Networks, Educational Tools, Computer Software, Human Brain, relational Learning, Associative Memory, Learning Process, Data Processing, Artificial Neural Network, Electrical And Electronic Engineering, Neural Network Model, Computers and Electrical Engineering, and Educational Tool
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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... more
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 process of enhancing FA. A complete quantitative structure-activity relationship (QSAR) search of inhibitors from the ChEMBL database is reported in this paper, which includes 437 compounds for Fe chelation and 1,354 compounds for HDAC inhibitors. For further investigation, the IC50 was chosen as the unit of bioactivity, and following data refinement, a final dataset of 436 and 1,163 compounds for Fe chelation and HDAC inhibition, respectively, was produced. The Random Forest (RF) technique was used to generate models, and the models created using the PubChem fingerprint were the strongest of the 12 fingerprint kinds, hence that featur...
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* https://www.dogukitabevi.com/yapay-zeka-felsefesi * https://www.kitapyurdu.com/kitap/yapay-zeka-felsefesi/622822.html * https://www.bkmkitap.com/yapay-zeka-felsefesi *... more
* https://www.dogukitabevi.com/yapay-zeka-felsefesi
* https://www.kitapyurdu.com/kitap/yapay-zeka-felsefesi/622822.html
* https://www.bkmkitap.com/yapay-zeka-felsefesi
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* https://www.kitapyurdu.com/kitap/yapay-zeka-felsefesi/622822.html
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* https://www.idefix.com/Kitap/Yapay-Zeka-Felsefesi/Felsefe/Felsefe-Bilimi/urunno=0001991377001
* https://www.dr.com.tr/Kitap/Yapay-Zeka-Felsefesi/Felsefe/Felsefe-Bilimi/urunno=0001991377001
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Artificial Intelligence, Philosophy, Technology, Machine Learning, Future of artificial intelligence, and 10 morePhilosophy of Artificial Intelligence, Deep Learning, Felsefe, Yapay Zeka, Bilişim Teknolojileri, Makine öğrenmesi, Superintelligence, Yapay Zeka Felsefesi, Bilim ve Gelecek, and Derin Öğrenme
Bilgisayar programlama, bilgisayar tabanlı sistemlere hükmetmek ve onları problem çözümlemelerine yönlendirmek adına bilmemiz gereken en önemli beceridir. Önemli bir teorik altyapı gereksinimini de beraberinde getiren bu beceri,... more
Bilgisayar programlama, bilgisayar tabanlı sistemlere hükmetmek ve onları problem çözümlemelerine yönlendirmek adına bilmemiz gereken en önemli beceridir. Önemli bir teorik altyapı gereksinimini de beraberinde getiren bu beceri, -sanıldığının aksine- genellikle hakkıyla elde edilememektedir. Özellikle birbirinin üzerine inşa edilerek sürdürülmesi gereken bilgisayar programlama dersleri, öğrencilerin geçmiş zamanlardaki öğrenim dönemlerinde elde etmiş oldukları parçalı bilgi ve beceriler nedeniyle istendik amaçlara asla ulaşamamakta ve ezbere dayalı öğretim / öğrenim süreçlerinin izleri zaman zaman görülebilmektedir. Bu sorunlar kapsamında, öğrencilerin teorik ve uygulama yönünden sahip oldukları bilgilerde var olan çeşitli boşluklar da dikkat çekicidir.
Bu kitabın temel amaçlarından birisi, piyasada yer alan algoritma konularına ilişkin eserlerde anlatılanları daha pratik şekillerde desteklemek ve bilgisayar programlamayı öğrenme sürecinde oluşabilecek muhtemel boşlukları giderecek konular üzerine yoğunlaşmaktır. Kitapta ele alınan konulardan bazıları birçok kaynakta anlatılmamakta veya çok sayıda kaynaktan öğrenilebilmektedir.
Kitap, İlkokul, Ortaokul, Lise ve Üniversite düzeylerinin tümünde öğrenciler tarafından bağımsız bir şekilde kullanılabileceği gibi, öğretim elemanları ve öğretmenler tarafından da ders kaynakları kapsamında sunulabilmektedir.
Kitap içerisinde değinilen önemli konular:
* Algoritma ve Akış Şeması kavramları
* Algoritma sağlamaya yönelik Çalıştırma Tablosu yaklaşımı
* Farklı programlama ve kodlama şekilleri
* Nesne Yönelimli Programlama
* Bilgisayar programlamada dikkat edilmesi gereken önemli hususlar
* İşlev mantığı, özyinelemeli işlevler vb.
Bu kitabın temel amaçlarından birisi, piyasada yer alan algoritma konularına ilişkin eserlerde anlatılanları daha pratik şekillerde desteklemek ve bilgisayar programlamayı öğrenme sürecinde oluşabilecek muhtemel boşlukları giderecek konular üzerine yoğunlaşmaktır. Kitapta ele alınan konulardan bazıları birçok kaynakta anlatılmamakta veya çok sayıda kaynaktan öğrenilebilmektedir.
Kitap, İlkokul, Ortaokul, Lise ve Üniversite düzeylerinin tümünde öğrenciler tarafından bağımsız bir şekilde kullanılabileceği gibi, öğretim elemanları ve öğretmenler tarafından da ders kaynakları kapsamında sunulabilmektedir.
Kitap içerisinde değinilen önemli konular:
* Algoritma ve Akış Şeması kavramları
* Algoritma sağlamaya yönelik Çalıştırma Tablosu yaklaşımı
* Farklı programlama ve kodlama şekilleri
* Nesne Yönelimli Programlama
* Bilgisayar programlamada dikkat edilmesi gereken önemli hususlar
* İşlev mantığı, özyinelemeli işlevler vb.
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A review for the book: "The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies"
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A review for the book: "Why Greatness Cannot Be Planned: The Myth of the Objective".
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Kitap Bölümü Çağrısı: "Evde Eğitim ve Öğretim İçin Teknoloji Kullanımı: Fikirler ve Gelecek Senaryoları"
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Kitap Bölümü Çağrısı: "Eğitimde Zeki Teknolojiler: Dost mu Düşman mı?"
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Kitap Bölümü Çağrısı: "Eğitimde Küçük Veri: Teoriler ve Örnek Uygulamalar"