• IEEE 14-baralı güç sisteminde gerilim kararlılığının uç öğrenme makinesi ile analizi 

  Açıkgöz, Hakan; Poyraz, İlhami; Çöteli, Resul (Gazi Üniversitesi Fen Bilimleri Enstitüsü, 2019)

  Günümüzde elektrik enerjisi ihtiyacı, teknolojik gelişmeler sonucunda nüfusla orantılı olarak hızla artmaktadır. Artan bu talebi karşılamak için büyük güçlü üretim merkezleri kurulmuştur. Bu çalışmada, IEEE 14-baralı güç ...

• milVAD: A bag-level MNIST modelling of voice activity detection using deep multiple instance learning 

  Korkmaz, Yunus; Boyacı, Aytuğ (Elsevier SCI LTD., 2022)

  Voice Activity Detection (VAD) which is used as an onset step for majority of the applications in Digital Speech Processing (DSP) area is defined as the process of identifying speech region in an audio recording. It is ...

• Production and physicochemical properties of safflower seed oil extracted using different methods and its conversion to biodiesel 

  Deviren, Halis; Aydın, Hüseyin (Elsevier, 01/07/2023)

  The production and physicochemical characterization of high quality biodiesel from the from safflower seed oil extracted by different extraction methods was studied. The oil extraction efficiencies of various extraction ...

• Investigation of mechanical and thermal behavior of Basalt Cutting Waste (BCW) added clay brick 

  Koçyiğit, Şermin; Çay, Vedat Veli (INESEG Yayıncılık, 2019)

  Porous clay bricks produced by adding 5%, 10%, 15% and 20% by weight ofBasalt Cutting Waste (BCW) were manufactured by semi-dry pressingprocess. BCW (Karacadağ, Diyarbakir, Turkey) was added to brick rawmaterial as an ...

• Biometric identification using panoramic dental radiographic images with few-shot learning 

  Ataş, Musa; Özdemir, Cüneyt; Ataş, İsa; Ak, Burak; Özeroğlu, Esma (Tubitak Scientific & Technical Research Council Turkey, 2022)

  Determining identity is a crucial task especially in the cases of mass disasters such as tsunamis, earthquakes, fires, epidemics, and in forensics. Although there are various studies in the literature on biometric ...

• Tarihi On Gözlü Köprü ve yakın çevresinin kıyısal peyzaj değeri açısından araştırılması 

  Güneroğlu, Nilgün; Oğuztürk, Gülcay Ercan (Bartın Üniversitesi, 2021)

  Kara ve su ekosistemlerinin kesişim yeri olan kıyılar sahip oldukları doğal ve kültürel kaynaklarla peyzaj değeriyüksek alanlardır. Yoğun kullanımlara maruz kalan kıyılarda, koruma ve kullanma dengesinin sağlanmasısürdür ...

• Preconcentrations of Cu (II) and Mn (II) by magnetic solid-phase extraction on Bacillus cereus loaded gamma-Fe2O3 nanomaterials 

  Özdemir, Sadin; Türkan, Zeynep; Kılınç, Ersin; Bayat, Ramazan; Soylak, Mustafa; Sen, Fatih (Academic Press INC Elsevier Science, 2022)

  For the simultaneous preconcentrations of Cu(II) and Mn(II), a novel preconcentration technique was developed and described. Bacillus cereus loaded magnetic gamma-Fe2O3 nanoparticles were prepared and used as support ...

• 3 boyutlu evrişimsel sinir ağı kullanılarak hiperspektral görüntülerin sınıflandırılması 

  Fırat, Hüseyin; Hanbay, Davut (Bingöl Üniversitesi, 2022)

  Hiperspektral görüntü sınıflandırma, uzaktan algılanan görüntülerin analizi için yaygın olarak kullanılmaktadır. Bir hiperspektral görüntü, uygulamalarda büyük potansiyele sahip olan yer nesnelerinin zengin spektral ...

• Conductive polymer-based nanocomposites as powerful sorbents: Design, preparation and extraction applications 

  Canpolat, Gurbet; Dolak, İbrahim; Keçili, Rüstem; Hussain, Chaudhery Ghazanfar; Amiri, Amirhassan; Hussain, Chaudhery Mustansar (Taylor & Francis, 2022)

  Conductive polymers as composite materials have been attracted tremendous attention due to their versatile and excellent features such as tunable conductivity, facile synthesis and fabrication, high chemical and thermal ...

• Smart grid road map and challenges for Turkey 

  Yılmaz, Musa; Kılıç, Heybet (Inst Engineering Tech-IET, 2020)

  Smart grid road map and challenges for Turkey

• 4CF-Net: New 3D convolutional neural network for spectral spatial classification of hyperspectral remote sensing images 

  Fırat, Hüseyin; Hanbay, Davut (Gazi University, 2022)

  Hyperspectral images (HSI) are contiguous band images commonly used in remote sensing. Deep learning (DL) is an effective method used in HSI classification. Convolutional neural networks (CNN) are one of the DL methods ...

• Functionalized magnetic nanoparticles as powerful sorbents and stationary phases for the extraction and chromatographic applications 

  Keçili, Rüstem; Ghorbani-Bidkorbeh, Fatemeh; Dolak, İbrahim; Canpolat, Gurbet; Karabörk, Muharrem; Hussain, Chaudhery Mustansar (Elsevier SCI LTD., 2021)

  Materials in nanodimensions such as magnetic nanoparticles exibit fascinating physico-chemical features (i.e. high surface area, very small size, superparamagnetism, active surface which can be successfully functionalized, ...

• Preconcentrations of Zn(II) and Hg(II) in environmental and food samples by SPE on B. licheniformis loaded amberlite XAD-4 

  Özdemir, Sadin; Kılınç, Ersin; Acer, Ömer; Soylak, Mustafa (Springernature, 2022)

  In this work, the separations and preconcentrations of Zn(II) and Hg(II) ions on Bacillus lichenifoemis loaded onto Amberlite XAD-4 resin by solid-phase extraction has been performed. The biosorbent was characterized by ...

• Investigation of the usability of essential oils in diesel engines as a new biodiesel source 

  Çılğın, Erdal (Gümüşhane Üniversitesi, 2021)

  This article has focused on essential oils as alternative fuels and fuel additives. The essential oil is obtained from SalviaCandidissima plant. While a Clevenger type apparatus was used to determine the oil yield of Salvia ...

• K-Ortalamalar kümeleme yöntemi için çift K başlatma algoritması 

  Yücelen, Aziz Mahmut; Baykal, Abdullah (2021)

  Veri madenciliğinin en dikkat çekici konularından biri olan kümeleme yöntemleri, bu alanın en yoğun araştırma sahası olup kümeleme üzerine bir çok teknik ve bağlı yöntemler bulunmaktadır.Bu alandaki çalışmaların bir kısmı ...

• Preparation and characterization of activated carbon from hydrochar by hydrothermal carbonization of chickpea stem: an application in methylene blue removal by RSM optimization 

  Genli, Nasrettin; Kutluay, Sinan; Baytar, Orhan; Şahin, Ömer (Taylor & Francis, 2022)

  Herein, mesoporous activated carbon (AC) was prepared through potassium hydroxide (KOH) activation of hydrochar derived from the hydrothermal carbonization (HTC) of chickpea stem (CS), and successfully applied to remove ...

• Synthesis of activated carbon in the presence of hydrochar from chickpea stalk and its characterization 

  Genli, N.; Şahin, O.; Baytar, O.; Horoz, S. (Virtual Co Physics Srl., 2021)

  In this study, hydrochar was obtained from chickpea stalk by hydrothermal method. Then, activated carbon was synthesized by chemical activation method using ZnCl2 activator in the presence of this hydrochar. The effects ...

• Hiperspektral görüntü sınıflandırması için derinlemesine ayrılabilir evrişim tabanlı artık ağ mimarisi 

  Fırat, Hüseyin; Asker, Mehmet Emin; Hanbay, Davut (Gazi Üniversitesi, 2022)

  Hiperspektral uzaktan algılama görüntüleri (HUAG), yüzlerce spektral bant içeren ve iki uzamsal-bir spektral boyuta sahip 3B görüntü küpleridir. Sınıflandırma, HUAG’de en popüler konulardan biridir. Son yıllarda HUAG ...

• Selective recognition and separation of ubiquitin by nanoparticle embedded cryogel traps with ubiquitin memories based on photosensitive covalent imprinting 

  Dolak, İbrahim; Keçili, Rüstem; Yılmaz, Filiz; Ersöz, Arzu; Say, Rıdvan (Pleiades Publishing INC., 2021)

  Recognition and determination of ubiquitin (Ubq) is very important since it affects the enzymatic mechanisms, which causes damages in the living organisms. This can lead to diseases especially in neuronal system. Molecularly ...

• Classification of hyperspectral remote sensing images using different dimension reduction methods with 3D/2D CNN 

  Fırat, Hüseyin; Asker, Mehmet Emin; Hanbay, Davut (Elsevier, 2022)

  The high dimensionality of hyperspectral remote sensing images (HRSI) affects the classification performance. Therefore, most HRSI classification methods use dimension reduction methods as a solution for high dimensionality. ...

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