• AutoFusion of feature pruning for decision making in operations research 

  Atas, Pinar Karadayi; Akyuz, Sureyya Ozogur (Springer Science and Business Media Deutschland GmbH, 2024)

  Recently, the fusion of algorithms in machine learning studies has taken a lot of attention, emphasizing the power of communal decision-making over-relying on a single decision-maker. One of the crucial questions in the ...

• Exploring the Molecular Interaction of PCOS and Endometrial Carcinoma through Novel Hyperparameter-Optimized Ensemble Clustering Approaches 

  Atas, Pinar Karadayi (Multidisciplinary Digital Publishing Institute (MDPI), 2024)

  Polycystic ovary syndrome (PCOS) and endometrial carcinoma (EC) are gynecological conditions that have attracted significant attention due to the higher prevalence of EC in patients with PCOS. Even with this proven ...

• Early Software Defects Density Prediction: Training the International Software Benchmarking Cross Projects Data Using Supervised Learning 

  Tahir, Touseef; Gencel, Cigdem; Rasool, Ghulam; Umer, Tariq; Rasheed, Jawad; Yeo, Sook Fern; Cevik, Taner (Institute of Electrical and Electronics Engineers Inc., 2023)

  Recent reviews of the literature indicate the need for empirical studies on cross-project defect prediction (CPDP) that would allow aggregation of the evidence and improve predictive performance. Most empirical studies ...

• Reversible Logic-Based Hexel Value Differencing-A Spatial Domain Steganography Method for Hexagonal Image Processing 

  Cevik, Taner; Cevik, Nazife; Rasheed, Jawad; Asuroglu, Tunc; Alsubai, Shtwai; Turan, Mehmet (Institute of Electrical and Electronics Engineers Inc., 2023)

  The field of steganography has witnessed considerable advancements in square-pixel-based image processing (SIP). However, the application of steganography in Hexel (Hexagonal pixel)-based Image Processing (HIP) is still ...

• Development of a Hybrid Method for Multi-Stage End-to-End Recognition of Grocery Products in Shelf Images 

  Melek, Ceren Gulra; Battini Sonmez, Elena; Ayral, Hakan; Varli, Songul (MDPI, 2023)

  Product recognition on grocery shelf images is a compelling task of object detection because of the similarity between products, the presence of the different scale of product sizes, and the high number of classes, in ...

• 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, ...

• Improved exploiting modification direction steganography for hexagonal image processing 

  Cevik, Nazife; Cevik, Taner; Osman, Onur; Gurhanli, Ahmet; Nematzadeh, Sajjad; Sahin, Fatih (King Saud bin Abdulaziz University, 2022)

  Steganography has made significant advances in the Square-pixel-based Image Processing (SIP) domain, but to our knowledge, no work has yet been done in Hexel (Hexagonal Pixel)-based Image Processing (HIP). This paper ...

• Deep learning base modified MLP model for precise scattering parameter prediction of capacitive feed antenna 

  Calik, Nurullah; Belen, Mehmet Ali; Mahouti, Peyman (WILEY, 2019)

  The relations between the antennas' geometrical parameters and design specifications usually consist of linear and nonlinear components. Especially with the increase of the requested performance measures, the design procedure ...

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