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Now showing items 934-953 of 3296
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D-Glucose-fatty Acid Ester Synthesis with or without a Biocatalyst in the Same Organic Media
(Japan Oıl Chemısts Soc, 2020)Esterification of D-glucose with oleic- and palmitic acids were carried out in the absence and presence of a biocatalyst, Candida antarctica lipase. The reaction medium was a mixture of dimethyl sulphoxide and tert-butanol ... -
Dalgacık Dönüşümlü Yapay Sinir Ağlarıyla Günlük Akım Serilerinin Tahmini
(2020)Yapay Sinir Ağları (YSA) insan beyninin geçmiş tecrübelerinden ve eğitiminden yola çıkarak karmaşıkproblemleri kapalı kutu şeklinde çözmeye yarayan gelişmiş bir yöntemdir. Çok fazla değişken içeren hidrolojiksüreçlerin ... -
Dalgacık Dönüşümlü Yapay Sinir Ağlarıyla Günlük Akım Serilerinin Tahmini
(Bitlis Eren Üniversitesi, 2020)Yapay Sinir Ağları (YSA) insan beyninin geçmiş tecrübelerinden ve eğitiminden yola çıkarak karmaşık problemleri kapalı kutu şeklinde çözmeye yarayan gelişmiş bir yöntemdir. Çok fazla değişken içeren hidrolojik süreçlerin ... -
Damage and performance evaluation of masonry buildings constructed in 1970s during the 2019 Albania earthquakes
(Elsevier Ltd, 2022)A Mw 6.4 earthquake hit the NW region of Albania on November 26, 2019, resulting in extensive damage to the civil structures in the broader area of Durrës city and its surroundings. According to the official statistics, ... -
Damage limitation - A new spillway aerator
(2008)A new approach has been developed for aerators designed to prevent cavitation on dam spillways. The approach has been developed to overcome the typical problem with conventional spillway aerators that has the potential to ... -
Darbe Genişlik Modülasyonlu Da‒Da Dönüştürücüler Için Yeni Bir Yumuşak Anahtarlamalı Pasif Bastırma Hücresi
(2018)Bu çalışmada darbe genişlik modülasyonuna (DGM) sahip DA‒DA dönüştürücüler için yeni bir yumuşak anahtarlamalı pasif bastırma hücresi sunulmuştur. Bu yeni dönüştürücüde anahtar sıfır akımda anahtarlama (SAA) ile iletime ... -
DC Motorun Hız Kontrolü İçin Meta-Sezgisel Algoritma Tabanlı PID Denetleyici Tasarımı
(Bitlis Eren Üniversitesi, 2021)Bu makalede DC motor hız kontrolü için balina optimizasyonu (WOA) ve güve-alevi optimizasyonu (MFO) algoritmaları kullanılarak en uygun PID denetleyici parametreleri (kp, ki ve kd) belirlenmiştir. PID denetleyici parametre ... -
DCCMED-Net: Densely connected and concatenated multi Encoder-Decoder CNNs for retinal vessel extraction from fundus images
(Churchıll Lıvıngstone, 2020)Recent studies have shown that convolutional neural networks (CNNs) can be more accurate, efficient and even deeper on their training if they include direct connections from the layers close to the input to those close to ... -
Dechlorination of chlorinated compounds by Trametes versicolor ATCC 200801 crude laccase and quantitative structure-activity relationship of toxicity
(Taylor & Francıs Inc, 2012)Chlorinated compounds constitute an important class of xenobiotics. Crude laccase was produced using Trametes versicolor ATCC (200801) in potato dextrose broth, with wheat bran as an inducing medium, and its ability to ... -
Deciphering the Relationship between the Mass, Size and Engine Properties of Boeing and Airbus Aircraft
(Bitlis Eren Üniversitesi, 2022)In the study, it is aimed to analyze the mass, size, and engine characteristics of different Boeing and Airbus aircraft models, which are the duopoly in air transportation market, and to decipher the correlations between ... -
Deep convolutional neural networks for airport detection in remote sensing images
(Institute of Electrical and Electronics Engineers Inc., 2018)This study investigated the use of deep convolutional neural networks (CNNs) in providing a solution for the problem of airport detection in remote sensing images (RSIs). In recent years, Deep CNNs have gained much attention ... -
Deep Convolutional Neural Networks for Airport Detection in Remote Sensing Images
(Ieee, 2018)This study investigated the use of deep convolutional neural networks (CNNs) in providing a solution for the problem of airport detection in remote sensing images (RSIs). In recent years, Deep CNNs have gained much attention ... -
Deep Feature Extraction for Face Liveness Detection
(Ieee, 2018)Face recognition is now widely being used to verify the identity of the person in various applications ranging from border crossing to mobile authentication. However, most face recognition systems are vulnerable to spoofing ... -
Deep Learning based Face Liveness Detection in Videos
(Ieee, 2017)The human face is an important biometric quantity which can be used to access a user-based system. As human face images can easily be obtained via mobile cameras and social networks, user-based access systems should be ... -
Deep Learning for Discussion-Based Cross-Domain Performance Prediction of MOOC Learners Grouped by Language on FutureLearn
(Sprınger Heıdelberg, 2021)Analysing learners' behaviours in MOOCs has been used to identify predictive features associated with positive outcomes in engagement and learning success. Early methods predominantly analysed numerical features of behaviours ... -
Deep Learning Researches in Turkey: An Academic Approach
(Ieee, 2017)Deep learning (DL) is deployed in Deep Neural Networks (DNNs), Recurrent Neural Networks (RNNs), Convolutional Neural Networks (CNNs), Deep Stacked Networks (DSNs), Deep Belief Networks (DBNs), and Deep Boltzmann Machines ... -
Değer Yitimi Ve Köksüzleştirme Bağlaminda Cengiz Aytmatov’Un Elveda Gülsari Romani
(2020)Türk dünyasının güçlü kalemlerinden Cengiz Aytmatov, mikrokozmostan makrokozmosa açılan bir yelpazede tüm canlılar için yaşanılabilir bir evren tasarımı kurgular. O; eserlerinin merkezine tinsel değerleri koyar ve yerelden ... -
Değişken Gecikmeli Kısıtlı Stokastik Kontrol Geçiş Sistemleri Için Regülatör Problemi
(2020)Bu makalede, doğrusal stokastik denklemler sınıfıyla ifade olunan geçiş sistemleri ele alınmıştır. Gecikmeli faz vekontrol parametreleri içeren diferansiyel denklemler için karesel amaç fonksiyonu olan optimal kontrol ... -
Değişken gecikmeli kısıtlı stokastik kontrol geçiş sistemleri için regülatör problemi
(Bitlis Eren Üniversitesi, 2020)Bu makalede, doğrusal stokastik denklemler sınıfıyla ifade olunan geçiş sistemleri ele alınmıştır. Gecikmeli faz ve kontrol parametreleri içeren diferansiyel denklemler için karesel amaç fonksiyonu olan optimal kontrol ... -
Delta(alpha)-Deferred Statistical Convergence of Fractional Order
(Amer Inst Physıcs, 2021)In this paper, we introduce the concepts of Delta(alpha)-deferred statistical convergence with the fractional order of alpha and Delta(alpha) strongly convergence with the fractional order of alpha. Additionally, we give ...