• Development of quasi-flexible solid polymer blend electrolytes and boron carbide reinforced tea waste electrodes for supercapacitors 

  Manfo, Theodore Azemtsop; Şahin, Mustafa Ergin; Bal Altuntaş, Derya (Elsevier, 2025)

  This study aims to create a prototype supercapacitor (SC) using free-standing-solid polymer electrolytes and tea waste (TW) doped boron carbide (B4C) electrodes. Quasi-solid polymer electrolyte (QSPE) films are made using ...

• The realization of a three-dimensional temperature measurement system with a two-dimensional sensor array and the demonstration of the deformation effect of gravity on the heating patterns 

  Samuk, Doğan Can; Çakır, Oğuzhan (MDPI, 2025)

  Electric heaters are widely used owing to their portability, fast heating, single-focus heating, and energy efficiency advantages. Manufacturers provide customers with information on the power consumption and energy ...

• An innovative filtration approach with triboelectric and bimodal PA6/PVDF nanofibrous air filters via the electro-blowing method 

  Toptaş, Ali; Çalışır, Mehmet Durmuş; Kılıç, Ali (Wiley, 2024)

  Fibers with electrostatic capture properties and bimodal structures, combining fibers of different diameters, offer innovative filtration approaches with low-pressure drop and high efficiency. In this study, PA6 and ...

• An experimental study on the effect of non-ionizing electromagnetic fields on honey bees 

  As, Nilüfer; Karan, Yasin; Dizman, Serdar; Sayi, Betül Ceylan; Kuvanci, Ahmet; Cinbirtoğlu, Şeref; Öztürk, Seyit Hasan; Şahin, Mustafa Ergin (Taylor & Francis Ltd., 2024)

  Due to the increase in data rate in mobile communication and the widespread use of mobile internet, electromagnetic communication systems are increasing daily. This situation causes increases in the use of more mobile ...

• Generative adversarial network based contrast enhancement: synthetic contrast brain magnetic resonance imaging 

  Solak, Merve; Tören, Murat; Asan, Berkutay; Kaba, Esat; Beyazal, Mehmet; Çeliker, Fatma Beyazal (Elsevier, 2024)

  Rationale and Objectives: Magnetic resonance imaging (MRI) is a vital tool for diagnosing neurological disorders, frequently utilising gadolinium-based contrast agents (GBCAs) to enhance resolution and specificity. However, ...

• A stub matching fed high gain array antenna design for mm-wave application 

  Murat, Caner; Alibakhshikenari, Mohammad; Liveri, Patrizia; Limiti, Ernesto (IEEE, 2024)

  Nowadays, the use of millimeter wave frequency range in wireless communication technologies, especially in 5G mobile systems, has increased the demands for higher performance and enhanced functionality. Designing efficient, ...

• Memristive synapses as building blocks of neuromorphic artificial intelligence (AI) hardware 

  Gül, Fatih (IEEE, 2024)

  The rapid advancement of artificial intelligence (AI) has significantly expanded the use of machine learning and deep learning, yet traditional Von-Neumann architecture-based computers struggle with the energy demands of ...

• Görüntü i̇şleme ve derin öğrenme teknikleriyle çay bitkisinde fitofag akar kaynaklı hasarın tespit edilmesi 

  Tören, Murat; Akıner, Muhammet Mustafa; Kaba, Bengisu; Yazıcı, Feyza; Asan, Berkutay; Beriş, Fatih Şaban (IEEE, 2024)

  The objective of this study is to ascertain the structural variations resulting from the detrimental impact of invertebrates on tea plant leaves. To this end, image processing and deep learning techniques were employed to ...

• Defect dependent electronic properties of WTe2: a first-principles study 

  Yelgel, Celal; Yelgel, Övgü Ceyda (Institute of Physics, 2024)

  Tungsten ditelluride (WTe2) possesses fascinating electronic structures and exceptional properties that make it highly suitable for use in cutting-edge devices. Defects in WTe2 can have a significant influence on its ...

• An overview of different water electrolyzer types for hydrogen production 

  Şahin, Mustafa Ergin (MDPI, 2024)

  While fossil fuels continue to be used and to increase air pollution across the world, hydrogen gas has been proposed as an alternative energy source and a carrier for the future by scientists. Water electrolysis is a ...

• Optimizing memristor-based synaptic devices for enhanced energy efficiency and accuracy in neuromorphic machine learning 

  Gökgöz, Baki; Aydın, Tolga; Gül, Fatih (IEEE, 2024)

  The traditional Von Neumann computing architecture, which necessitates data transfer between external memory and the processor, incurs significant energy and time costs when running deep learning (DL) and machine learning ...

• A green approach to tangerine preservation: composite electro-blown nanofibers activated with cedarwood oil 

  Akhouy, Ghizlane; Eticha, Andinet Kumella; Doğan, Cemhan; Doğan, Nurcan; Çalışır, Mehmet Durmuş; Toptaş, Ali; Aziz, Faissal; Akgül, Yasin (Springer, 2024)

  In this study, a novel active food packaging hybrid nanofibrous mats were fabricated from gelatin (G), chitosan (Ch), polyamide-6 (PA6), and Cedrus atlantica essential oil (CAEO) via an electroblowing technique. The G-Ch-PA6 ...

• Derin öğrenme ve yapay sinir ağı modelleri üzerine bir i̇nceleme 

  Akın, Ercan; Şahin, Mustafa Ergin (2024)

  Makine öğrenmesinin alt kümelerinden olan derin öğrenme, son zamanlarda gelişen teknolojiye ayak uydurmak için geliştirilen yapay zekâ uygulamalarının temelini oluşturmaktadır. Yapay zekâ ile çözüm aranan birçok problemde ...

• EEG+YKS tabanli beyin bilgisayar arayüzü sistemlerinde makine öğrenme tekniklerinin kullanimina i̇lişkin i̇nceleme 

  Ergün, Ebru; Aydemir, Önder; Korkmaz, Onur Erdem (2024)

  Beyin-bilgisayar arayüzü (BBA), kişinin beyin aktivitesini algılayan ve bu aktiviteyi bir bilgisayar veya diğer dış cihazlarla iletişim kurmak için kullanılabilir bir formata çeviren sistemdir. BBA sistemleri için çeşitli ...

• Evaluation of the exposure of 4.5g mobile phone base stations in different band radio frequencies in urban center and rural areas in Turkey 

  Tören, Murat; Ulutaşdemir, Nilgün (2024)

  Mobile phone base stations (MPBS) are electronic communication equipment, the number of which is rapidly increasing with the increasing need for mobile data use with developing technology. Since the middle of the 21st ...

• Electro-blown micro-nanofibrous mats with Origanum elongatum essential oil for enhancing the shelf life of tomato (Solanum lycopersicum) 

  Akhouy, Ghizlane; Eticha, Andinet Kumella; Doğan, Cemhan; Doğan, Nurcan; Çalışır, Mehmet Durmuş; Toptaş, Ali; Akgül, Yasin (Wiley, 2024)

  This study aims to develop a novel active food packaging material from hybrid micro-nanofibrous mats fabricated from gelatin (G)–chitosan (Ch)–polyvinyl alcohol (PVA)–Origanum elongatum essential oil (EO), (G-Ch-PVA-EO) ...

• Compound parabolic concentrator for LED-based underwater optical communication transmitter 

  Turhal, Mehmet; Albayrak, Cenk; Mahmutoğlu, Yiğit; Türk, Kadir (Elsevier, 2024)

  Laser sources have been used at the transmitter unit of underwater wireless optical communication (UWOC) systems since their invention. In recent years, light-emitting diodes (LEDs) have begun to be used as UWOC transmitters ...

• Decision making methods used for improving power quality to meet the sustainable energy targets 

  Eroğlu, Hasan; Kurtuluş, Osman; Can, Özay (Sage Publications, 2024)

  A higher quality energy demand in line with sustainable goals has led researchers to new studies. The concept of power quality has become very popular in this direction in the last decade. Decision making concept, which ...

• Çay ve eğrelti otunun YOLOv5 ve YOLOv8 algoritmaları ile karşılaştırmalı tespiti 

  Önder, Özgür; Karan, Yasin (2024)

  Çay yaprağı toplanırken içerisine farklı otlar karışabilmektedir. Daha kaliteli, sağlıklı ve lezzetli çay üretimi için bu sorunu önlemek ve yönetmek için güvenilir ve doğru bir teşhis ve tanımlama sistemi gereklidir. Bu ...

• Modeling and simulation of a series and parallel battery pack model in MATLAB/Simulink 

  Theodore, Azemtsop Manfo; Şahin, Mustafa Ergin (AVES, 2023)

  Lithium-ion batteries have recently become the focus of research in vehicle applications due to their numerous advantages. Lithium-ion batteries have higher specific energy, better energy density, and a lower self-discharge ...

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