• 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 ...

• Zırhlı ölçüm odasına sahip radyasyon dedektörleri için uzaktan kontrollü numune değiştiricisinin tasarlanması ve geliştirilmesi 

  Karan, Yasin; Yıldız, Emre; Dizman, Serdar; Tokçalar, Soner (Giresun Üniversitesi / Fen Bilimleri Enstitüsü, 2023)

  Günümüzde, birçok değerli makine sürekli olarak 24 saat boyunca aktif olarak çalışırken genellikle yanında bir görevli gerektirmektedir. Ancak, gelişen endüstri devrimleri sayesinde, bilişim teknolojileri ve robot kolları ...

• Düşük iyon katkılı, diyot-pompalı, verimli ve yüksek güçlü Cr:Licaf lazer sistemlerinin geliştirilmesi ve karakterize edilmesi 

  Beyatlı, Ersan; Kılınç, Muharrem; Okuyucu, Serdar (2023)

  Bilinen lazer malzemeleri arasında Cr:LiCAF lazer malzemesi, yakın kızılaltı bölgede, Ti: Safir?den sonra bilinen en geniş kazanç bandına sahip malzemelerdendir. Cr:LiCAF lazerleri 745-885 nm aralığında lazer ışınımı ...

• Green hydrogen revolution for a sustainable energy future 

  Sebbagh, Toufik; Şahin, Mustafa Ergin; Beldjaatit, Chahinez (Springer, 2024)

  This paper highlights the emergence of green hydrogen as an eco-friendly and renewable energy carrier, offering a promising opportunity for an energy transition toward a more responsible future. Green hydrogen is generated ...

• Evaluation of three-phase neutral-point-clamped PFC rectifier implemented with isolated DC-DC converters for EV fast charger 

  Mollahasanoğlu, Merve; Mollahasanoğlu, Hakkı; Okumuş, Halil İbrahim (Pamukkale University, 2024)

  In this study, a three-phase AC/DC neutral point clamped (NPC) power factor corrected (PFC) multilevel converter for off-board chargers of Electric Vehicles (EVs) is evaluated. The rectifier analysis has been tested by ...

• Design and optimisations of metal-oxide artificial synaptic device based machine learning model 

  Yılmaz, Yıldıran; Gül, Fatih (IEEE, 2024)

  Synaptic device-based neural network models are increasingly favored for their energy-efficient computing capabilities. However, as the demand for scalable and resource-efficient computing solutions continues to grow, there ...

• Engineering the electronic properties of MoTe2 via defect control 

  Yelgel, Celal; Yelgel, Övgü Ceyda (Taylor & Francis Ltd., 2024)

  The remarkable electronic properties of monolayer MoTe2 make it a very adaptable material for use in optoelectronic and nano-electronic applications. MoTe2 growth often exhibits intrinsic defects, which significantly ...

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