• Big Data Analytics and Models 

  Sönmez, Ferdi; Perdahçı, Ziya Nazım; Aydın, Mehmet Nafiz (IGI Global, 2022)

  When uncertainty is regarded as a surprise and an event in the minds, it can be said that individuals can change the future view. Market, financial, operational, social, environmental, institutional and humanitarian risks ...

• Sharp Inequalities for Driving Point Impedance Functions 

  Azeroglu, Tahir Aliyev; Ornek, Bulent Nafi; Duzenli, Timur (Institute of Electrical and Electronics Engineers Inc., 2023)

  In this paper, positive real functions are considered as driving point impedance functions, Z(s), which are utilized in electrical engineering for characteristic representation of circuits. Accordingly, for the real part ...

• Facial Recognition in Hexagonal Domain – A Frontier Approach 

  Cevik, Taner; Cevik, Nazife; Rasheed, Jawad; Abu-Mahfouz, Adnan M.; Osman, Onur (Institute of Electrical and Electronics Engineers Inc., 2023)

  Many face-recognition (FR) methods have been proposed thus far. Although FR has achieved wisdom in square pixel-based image processing (SIP) due to many studies, this wisdom has not been transferred to Hexagonal pixel-based ...

• Iterative histogram equalization using discrete wavelet transform in low-dynamic range 

  Bulut, Faruk; Ince, Ibrahim Furkan (SPIE, 2023)

  A progressive histogram equalization (HE) and contrast enhancement method is proposed in the frequency domain. This method has an iterative structure based on the 6-sigma rule in the low-dynamic range using discrete wavelet ...

• Anomaly Detection Using Data Mining Methods in IT Systems: A Decision Support Application 

  Sönmez, Ferdi; Zontul, Metin; Kaynar, Oğuz; Tutar, Hayati (Sakarya Üniversitesi Fen Bilimleri Enstitüsü, 2018)

  Although there are various studies on anomaly detection, effective and simple anomaly detection approaches are necessary as the inadequacy of appropriate ways for substantial network environments. In the existing analysis ...

• Serviks Kanserinin Erken Teşhisi için Çok Katmanlı Sitoloji Küplerinde Çekirdek ve Sitoplazma Bölütlenmesi 

  Melek, Ceren Gülra; Bilgin, Gökhan (Süleyman Demirel Üniversitesi, 2018)

  Özet: Dünya genelinde kadınlarda yaygın olarak görülen ve kanser ölümlerinin önde gelen nedenlerinden biri olan serviks kanseri, Pap smear testi sonucunda elde edilen görüntülerdeki hücre sayısı, şekli ve özelliklerinden ...

• FACE RECOGNITION BY GREY-LEVEL CO-OCCURRENCE MATRICES IN HEXAGONAL DIGITAL IMAGE PROCESSING 

  Çevik, Nazife (ASOS Eğitim Bilişim Danışmanlık Otomasyon Yayıncılık Reklam Sanayi ve Ticaret LTD ŞTİ, 2019)

  Face Recognition has been an attractive field of research fordecades, because face is one of the most useful and deterministicbiometrics. Image processing is called square pixel-based imageprocessing since its existence. ...

• Gözbebeği Hareketleri Temelli Duygu Durumu Sınıflandırılması 

  Mete, Samet; Çakır, Oğuz; Bayat, Oğuz; Duru, Dilek Göksel; Duru, Adil Deniz (Gazi Üniversitesi Bilişim Enstitüsü, 2020)

  İnsanlardaki duygu durumu otonom sinir sistemi tarafından kontrol edilmektedir. Bu sebeple, olumlu veyaolumsuz bir uyaran ile karşılaştığında otonom sinir sistemi çok kısa bir süre içerisinde, uyaran çeşidinin bireyde ...

• Customer Segmentation Based on Self-Organizing Maps: A Case Study on Airline Passengers 

  Üstebey, Serpil; Yelmen, İlkay; Zontul, Metin (Dr. Öğr. Üyesi Fatma Kutlu Gündoğdu, 2020)

  Müşteri segmentasyonu, ortak özelliklere dayanan bir müşteri gruplama modelidir ve şirketlerin müşteri memnuniyeti ile doğrudan ilişkilidir. Müşteriyi daha iyi tanıyarak doğru müşteriye doğru yöntemlerle erişim sağlar. ...

• Metabolic pathways of potential miRNA biomarkers derived from liquid biopsy in epithelial ovarian cancer 

  Gumusoglu-Acar, Ece; Gunel, Tuba; Hosseini, Mohammad Kazem; Dogan, Berkcan; Tekarslan, Efnan Elif; Cevik, Nazife (SPANDIDOS PUBL, 2023)

  Epithelial ovarian cancer (EOC) is the type of OC with the highest mortality rate. Due to the asymptomatic nature of the disease and few available diagnostic tests, it is mostly diagnosed at the advanced stage. Therefore, ...

• Effects of Digital Filtering on the Classification Performance of Steady-State Visual Evoked Potential Based Brain-Computer Interfaces 

  Çetin, Volkan; Özekes, Serhat; Varol, Hüseyin Selçuk (Bajece (İstanbul Teknik Ünv), 2020)

  The electrical activity that occurs during the communication of neurons is recorded by a method called electroencephalography. Brain computer interfaces utilize various electrophysiological sources obtained from ...

• Metin Duygu sınıflandırılmasında hibrit wavelet yönteminin kullanımı 

  Dönmez, İlknur; Aslan, Zafer (ANKARA HACI BAYRAM VELİ ÜNİVERSİTESİ, 2021)

  Verilerin her geçen gün arttığı günümüzde herhangi bir metnin anlamsal ve duygusal çözümlemesi ihtiyaç duyulan konulardan biridir. Çalışmamız metinlerin sınıflandırılmasında kullanılabilecek üst anlam ilişkilerini çıkarmak ...

• 2D Vector Representation of Binomial Hierarchical Tree Items 

  Donmez, Ilknur; Karateke, Seda; Zontul, Metin (Institute of Electrical and Electronics Engineers Inc., 2022)

  Today Artificial Intelligence (AI) algorithms need to represent different kinds of input items in numeric or vector format. Some input data can easily be transformed to numeric or vector format but the structure of some ...

• A Study on Metaverse and Its Applications in Education 

  Şentürk, Muhammed Fatih; Gürkaş-Aydin, Zeynep; Aydin, Muhammed Ali (TUBITAK, 2022)

  The increasing processing power of computers and the decrease in production costs have allowed the development of virtual reality technology. Thus, there has been an increase in the use of virtual reality in many fields, ...

• Object Detection in Shelf Images with YOLO 

  Melek, Ceren Gulra; Sonmez, Elena Battini; Albayrak, Songul (Institute of Electrical and Electronics Engineers Inc., 2019)

  Object detection in shelf images can solve many problems in retails sales such as monitoring the number of products on the shelves, completing the missing products and matching the planogram continuously. This study aims ...

• A Joint Design of User Modeling and Resource Management in Cognitive Radio Networks 

  Sadreddini, Zhaleh; Güler, Erkan (IEEE Computer Society, 2019)

  The limited available spectrum and inefficient spectrum utilization make it necessary to employ dynamic spectrum access techniques. The key enabling technology for dynamic spectrum access is cognitive radio (CR), which ...

• Estimating Solar Power Plant Data Using Time Series Analysis Methods 

  Idman, Ebru; Idman, Emrah; Yildirim, Osman (Institute of Electrical and Electronics Engineers Inc., 2020)

  When meteorological data such as temperature, precipitation, weather events and economic data such as stock prices and exchange rates reach large levels, it may be necessary to analyze them with time series analysis methods. ...

• Analyzing five conscious and unconscious behaviors using google n-gram database generated from millions of books 

  Donmez, Ilknur (Institute of Electrical and Electronics Engineers Inc., 2020)

  Due to the exponential increase in the proliferation of information by humans and machines, the 21st century is called the "Information Age"and the "Digital Age". Regardless of the size of the data at hand, the challenge ...

• Drug sales prediction with ACF and PACF supported ARIMA method 

  Demir, Volkan; Zontul, Metin; Yelmen, Ilkay (Institute of Electrical and Electronics Engineers Inc., 2020)

  With the technology developing day by day, data collection and storage becomes easier. It is possible to find univariate time series data based on a certain time period in fields such as finance, energy, meteorology and ...

• Generation of Automatic Six-Legged Walking Behavior Using Genetic Algorithms 

  Miandoab, Sajjad Nematzadeh; Kiani, Farzad; Uslu, Erkan (Institute of Electrical and Electronics Engineers Inc., 2020)

  Design and development of legged robots that can navigate effectively and autonomously in a wide range of environments is a challenging problem. At that point it should be noted that nature inspired optimization techniques ...

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