• Adaptation of n-out-of-n secret sharing scheme into IoT network 

  Kocatekin, Tugberk; Caliskan, Cafer (Institute of Electrical and Electronics Engineers Inc., 2023)

  Internet of Things (IoT) has become an established part of our daily lives by interconnecting billions of devices in diverse areas such as healthcare, smart home technologies, agriculture, etc. However, these devices are ...

• 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 ...

• 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 ...

• Efficient Deployment of Wireless Sensor Nodes with Evolutionary Approaches 

  Birtane Akar, Sibel; Korkmaz, Hayriye; Sahingoz, Ozgur Koray (Institute of Electrical and Electronics Engineers Inc., 2022)

  In previous WSN studies, it was observed that there are two common methods used in coverage area calculation: 1) image processing technique or 2) mathematical formulas. calculation of the coverage area, if the sensing ...

• Implementation of Socket Programming Simulation Using Quantum Communication Technologies 

  Ozceylan, Elif; Yasar, Cumali; Assanova, Baktygul (Institute of Electrical and Electronics Engineers Inc., 2022)

  Using socket programming, which plays a major role in the communication between devices and people, data is transmitted instantly over predetermined ports. By the evolution of technology, the size of the data is increasing ...

• A Proposed Methodology for Risk Classification Using Fuzzy Group Decision Making and Fuzzy C-Means 

  Yigit, Fatih; Donmez, Ilknur; ed.: Kahraman, C.; ed.: Tolga, AC.; ed.: Onar, SC.; ed.: Cebi, S.; ed.: Oztaysi, B.; ed.: Sari, IU. (Springer Science and Business Media Deutschland GmbH, 2022)

  Clean production and resource efficiency are two major concerns of contemporary manufacturing processes. The main reason is that the resources and environment are significant concerns for the future. The study proposes the ...

• Dealing with the Uncertainty Between the Text Content and the Categories by a Proposed Wavelet Similarity Metric 

  Dönmez, İlknur; Aslan, Zafer (Springer Science and Business Media Deutschland GmbH, 2022)

  The rise of the issues related to the uncertainty of decision-making has become a warm issue in operation research. The study is dealing with the uncertainty of text contents and text categories. The complex and ambiguous ...

• Gendered differentiated communication & educational characteristics in online technologies at undergraduate, MA or Doctorate degrees 

  Güllüoglu, Sabri Serkan (2012)

  In this study one of the most important approaches will be: it is so open that online learning has different effects on male and female students; also it has various effects on male and female faculty members. This paper ...

• Karaciğer görüntülerinin geometrik dönüşüm yöntemleri kullanılarak benzerliklerinin değerlendirilmesi 

  Palabaş, Tuğba; Osman, Onur; Ergin, Tuncer; Teomete, Uygar; Dandin, Özgür; Aydın, Nizamettin (Institute of Electrical and Electronics Engineers Inc., 2016)

  In this study, similarity rates of the liver images are determined using 3D geometric transformation methods and numerical comparisons are made. Three geometric transformation methods scaling, rotating, and translating are ...

• Effect of derivative action on back-propagation algorithms 

  Gürhanlı, Ahmet; Çevik, Taner; Çevik, Nazife (Springer Verlag, 2019)

  Multilayer neural networks using supervised training try to minimize the error between a given correct answer and the ones produced by the network. The weights in the neural network are adjusted at each iteration and after ...

• Zıt mevsim video uyaranlarına karşı ölçülen beyin elektriksel dinamiklerinin sınıflandırılması 

  Atasoy, Mehmet Berkay; Birankar, Eyüp; Arıca, Şafak Abdullah; Güney, Selen; Akbulut, Hüseyin; Achylov, Rahmet; Duru, Dilek Göksel; Duru, Adil Deniz (Institute of Electrical and Electronics Engineers Inc., 2019)

  In this study, it was aimed to classify the electrical signals recorded from human brain during different season (summer-winter) videos as stimuli. Data have been recorded using 14 channels EEG from four male participants. ...

• OHSAS management system and safety in Turkey 

  Palabaş, Tuğba (STEF92 TECHNOLOGY LTD, 2014)

  Occupational health and safety (OHSAS) is very important issue in all industrial workplaces. In literature, there are many theoretical frameworks for studies of occupational health and safety management. In all enterprises, ...

• Automated Segmentation of the Injured Liver 

  Palabaş, Tuğba; Osman, Onur; Ergin, Tuncer; Teomete, Uygar; Dandin, Özgür (IEEE, 2015)

  A new method is developed about segmentation in patients with liver trauma due to traffic accidents and military injuries. It is seemed that normal or liver surger cases are used in most of the studies in the literature. ...

• Segmenting Customers with Data Mining Techniques 

  Güllüoğlu, Sabri Serkan (IEEE, 2015)

  Retail marketers are constantly looking for ways to improve the effectiveness of their campaigns. One way to do this is to target customers with the particular offers most likely to attract them back to the store and to ...

• The Impact on the Classification Performance of the Combined Use of Different Classification Methods and Different Ensemble Algorithms in Chronic Kidney Disease Detection 

  Eroğlu, Kübra; Palabaş, Tuğba (IEEE, 2016)

  The aim of this study is to compare the performance assessment results of the different classification methods and ensemble algorithms for the detection of chronic kidney disease. Six different basic classifier (naive ...

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