Electrical and Electronic Engineering / Elektrik-Elektronik Mühendisliği: Recent submissions

  • A Channel Selection Method for Emotion Recognition From EEG Based on Swarm-Intelligence Algorithms 
    Yildirim, Esen; Kaya, Yasin; Kilic, Fatih (IEEE ACCESS / IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC., 2021-07)
    Increasing demand for human-computer interaction applications has escalated the need for automatic emotion recognition as emotions are essential for natural communication. There are various information sources that can be ...
  • Statistical Classification via Robust Hypothesis Testing: Non-Asymptotic and Simple Bounds 
    Afser, Huseyin (IEEE SIGNAL PROCESSING LETTERS / IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2021-10)
    We consider Bayesian multiple statistical classification problem in the case where the unknown source distributions are estimated from the labeled training sequences, then the estimates are used as nominal distributions ...
  • Novel stability and passivity analysis for three types of nonlinear LRC circuits 
    Ates, Muzaffer; Kadah, Nezir (INTERNATIONAL JOURNAL OF OPTIMIZATION AND CONTROL-THEORIES & APPLICATIONS-IJOCTA / RAMAZAN YAMAN, 2021-07)
    In this paper, the global asymptotic stability and strong passivity of three types of nonlinear LRC circuits are investigated by utilizing the Lyapunov's direct method. The stability conditions are obtained by constructing ...
  • Design and implementation of algorithms for one pedal driving in electric buses 
    Cuma, Mehmet Ugras; Unal, Cagla Dericioglu; Savrun, Murat Mustafa (ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH / ELSEVIER, 2021-02)
    Nowadays, the interest in electric vehicles (EVs) is increasing in parallel with falling prices of batteries, developing battery technology and willing to reduce carbon emissions. However, the most important problem of EVs ...
  • Strong enhancement of level densities in the crossover from spherical to deformed neodymium isotopes 
    Guttormsen, M.; Alhassid, Y.; Ryssens, Wouter; Ay, K. O.; Ozgur, Mustafa; Algin, Emel; Larsen, Ann-Cecilie; Garrote, F. L. Bello; Campo, L. Crespo; Dahl-Jacobsen, T.; Gorgen, Antonio Rebello Horta; Hagen, T. W.; Ingeberg, V. W.; Kheswa, B. V.; Klintefjord, Malin; Midtbo, Jorgen E.; Modamio, Victor; Renstrom, Therese; Sahin, E.; Siem, Sunniva; Tveten, Gry M.; Zeiser, Fabio (PHYSICS LETTERS B / Elsevier B.V., 2021-05)
    Understanding the evolution of level densities in the crossover from spherical to well-deformed nuclei has been a long-standing problem in nuclear physics. We measure nuclear level densities for a chain of neodymium isotopes ...
  • Unknown uncertainties in the COVID-19 pandemic: Multi-dimensional identification and mathematical modelling for the analysis and estimation of the casualties 
    Tutsoy, Onder; Balikci, Kemal; Ozdil, Naime Filiz (DIGITAL SIGNAL PROCESSING / ELSEVIER, 2021-07)
    Insights about the dominant dynamics, coupled structures and the unknown uncertainties of the pandemic diseases play an important role in determining the future characteristics of the pandemic diseases. To enhance the ...
  • Z-source converter integrated dc electric spring for power quality improvement in dc microgrid 
    Savrun, Murat Mustafa (ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH / ELSEVIER, 2021-12)
    Increasing penetration of renewable energy sources reveals the concept of dc microgrid which has the advantages of low cost and low losses because of the elimination of the AC/DC conversion processes. The most frequently ...
  • A Baseline Statistical Method for Robust User-Assisted Multiple Segmentation 
    Afser, Huseyin (IEEE SIGNAL PROCESSING LETTERS / IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2022)
    Recently, several image segmentation methods that welcome and leverage different types of user assistance have been developed. In these methods, the user inputs can be provided by drawing hounding boxes over image objects, ...
  • Priority and age specific vaccination algorithm for the pandemic diseases a comprehensive parametric prediction model 
    Tutsoy, Onder; Tanrikulu, Mahmud Yusuf (BMC MEDICAL INFORMATICS AND DECISION MAKING / BMC, 2022-01)
    Background There have been several destructive pandemic diseases in the human history. Since these pandemic diseases spread through human-to-human infection, a number of non-pharmacological policies has been enforced until ...
  • Investigation of the Relationship between Vibration Signals Due to Oil Impurity and Cavitation Bubbles in Hydraulic Pumps 
    Yilmaz, Ozgur; Aksoy, Murat; Kesilmis, Zehan (ELECTRONICS / MDPI, 2022-05)
    Although hydraulic pumps are frequently used in daily life, improper use due to oil analysis or oil contamination is ignored. There is no instantaneous inspection; instead, the oil is changed periodically at certain times, ...
  • Linear and non-linear dynamics of the epidemics System identification based parametric prediction models for the pandemic outbreaks 
    Tutsoy, Onder; Polat, Adem (ISA TRANSACTIONS / ELSEVIER LTD., 2022-05)
    Coronavirus disease 2019 (COVID-19) has endured constituting formidable economic, social, educational, and phycological challenges for the societies. Moreover, during pandemic outbreaks, the hospitals are overwhelmed with ...
  • A Machine Learning-Based 10 Years Ahead Prediction of Departing Foreign Visitors by Reasons: A Case on Turkiye 
    Tutsoy, Onder; Tanrikulu, Ceyda (APPLIED SCIENCES-BASEL / MDPI, 2022-11)
    The most important underlying reasons for marketing failures are incomplete understanding of customer wants and needs and the inability to accurately predict their future behaviors. This study develops a machine learning ...
  • Electrochemical Production of Transition Metal-Based Electrocatalysts for Hydrogen Production 
    Ergen, Eren; Nazligul, Huseyin; Dogru Mert, Basak (Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi = Osmaniye Korkut Ata University Journal of the Institute of Science and Technology / Osmaniye Korkut Ata Üniversitesi, 2022-02)
    Energy demand increases with increasing population and industrial developments. Unfortunately, non-renewable sources are used to meet a large portion of the demand. As a result of the negative effects, researchers have ...
  • MEMS İvme Ölçerler için Analog Yapay Sinir Ağı Temelli Kontrolcü Tasarımı 
    Kesilmis, Zehan; Aksoy, Murat (Çukurova Üniversitesi Mühendislik Fakültesi Dergisi = Cukurova University Journal of the Faculty of Engineering / Çukurova Üniversitesi, 2022-10)
    Bu çalışmada tek eksenli kapasitif MEMS ivme ölçer için yeni bir analog yapay sinir ağı temelli bir kontrolcü önerilmektedir. Bu kontrolcü giriş katmanında bir, gizli katmanda altı ve çıkış katmanında iki nöron olacak ...
  • Hayati Sağlık Verilerinin CoAP Observe Yöntemi ile İletilmesi ve Analizi 
    Manap, Gokce; Demir, Alper Kamil (Bilişim Teknolojileri Dergisi (BTD) = The Journal of Information Technologies (JIT) / Gazi Üniversitesi, 2022-04)
    Nesnelerin İnterneti (IoT), son zamanların en çok tercih edilen teknolojilerinden biridir. Günümüzde IoT'nin günlük hayatta kullanımı artmakta ve zamanla daha da artması beklenmektedir. IoT cihazları, herhangi bir kullanıcıya ...
  • Design of Notched Rounded Bowtie Antenna for Ultra-Wideband Communication Systems 
    Gencoglan, Duygu Nazan; Colak, Sule (Çukurova Üniversitesi Mühendislik-Mimarlik Fakültesi Dergisi = Cukurova University Journal of the Faculty of Engineering / Çukurova Üniversitesi, 2019-12)
    In this paper, a modified bowtie antenna structure is proposed for Ultra-Wideband communication systems. This antenna is obtained by rounding and notching the edges of antenna arms. Antenna parameters for the designed ...
  • Fotovoltaik Paneller için Parametre Kestirim Sistemi 
    Ozcan, Kubra; Kesilmis, Zehan; Aksoy, Murat; Karabacak, M. Alpaslan; Buyukguzel, Bulent (Çukurova Üniversitesi Mühendislik-Mimarlik Fakültesi Dergisi = Cukurova University Journal of the Faculty of Engineering / Çukurova Üniversitesi, 2020-09)
    Fotovoltaik (FV) sistemlerin modellenmesinde panel parametrelerin doğruluğu büyük önem teşkil etmektedir. Bu çalışmada, FV panellerin parametrelerinin deneysel yolla belirlenmesini hedefleyen bir sistem geliştirilmiştir. ...
  • Firmness Classification of Tomato Fruits by Using Colour Parameters 
    Oztekin, Yesim Benal; Vursavus, Kubilay Kazim; Kesilmis, Zehan (Anadolu Tarım Bilimleri Dergisi = Anadolu Journal of Agricultural Sciences / Ondokuz Mayıs Üniversitesi, 2021-10)
    Aim of study: In this study, firmness classification potential of tomato fruits was investigated by using colour parameters measured with a colour measuring device. Material and methods: 202 ‘Bandita F1’ greenhouse tomatoes ...
  • A Dual-Band Patch Antenna with Improved Gain and Group Delay Characteristics for C-Band and X-Band Applications 
    Gencoglan, Duygu Nazan; Colak, Sule (Çukurova Üniversitesi Mühendislik-Mimarlik Fakültesi Dergisi = Cukurova University Journal of the Faculty of Engineering / Çukurova Üniversitesi, 2021-05)
    In this study, a dual-band patch antenna with improved gain and group delay characteristics is proposed for C-band and X-band applications in radar and satellite communications. In the study, conventional square patch ...
  • Salp Sürü Algoritması ile Öznitelik Seçimi ve Sınıflandırıcı Performans Değerlendirmesi 
    Can, Celal; Kaya, Yasin; Kilic, Fatih (Avrupa Bilim ve Teknoloji Dergisi (EJOSAT) = European Journal of Science and Technology / Osman SAĞDIÇ, 2021-12)
    Son yıllarda doğadan esinlenen sürü tabanlı algoritmalar arasında yer alan Salp Sürü Algoritması oldukça popüler olmuştur. Bu çalışmada, Salp Sürü Algoritması kullanılarak farklı veri setleri üzerinde öznitelik seçimi ...

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