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Toplam kayıt 46, listelenen: 21-40
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Environmental pollution and cost efficent equipment selection in cement factories
(Başkent Üniversitesi Fen Bilimleri Enstitüsü, 2018)In this study, it is aimed to be able to select the technological equipment to minimize the dust particles and various harmful gases released during the cement production process. "TOPSIS Method" is used as a method to ... -
Estimation of prmeability values in geothermal fields with machine learning methods
(Başkent Üniversitesi Fen Bilimleri Enstitüsü, 2021)Numerical modeling of geothermal fields is a very time-intensive task. Modeling the natural state of a geothermal field, where there is no production or reinjection in the field, is vital in this process. Natural state ... -
Experiment Retrieval in Genomic Databases
(Başkent Üniversitesi Fen Bilimleri Enstitüsü, 2019)Genomic data can be found in different formats such as experimental measurements, sequences, networks. Due to the rapid growth of such data in genomic repositories, retrieving relevant experiments has become an important ... -
Gender recognition and age estimation based on human gait
(Başkent Üniversitesi Fen Bilimleri Enstitüsü, 2019)In this study, the feasibility of Convolutional Neural Networks (CNN) for gait based gender recognition and age estimation problems were investigated. For this purpose, different networks were evaluated and a basis was ... -
Improvement of performance and capacities of wireless ad hoc networks
(Başkent Üniversitesi Fen Bilimleri Enstitüsü, 2014)Mobile Ad Hoc Networks are continuously self-organizing wireless networks with no fixed infrastructure, where network communication is established without a centralized administration. Security is an important issue for ... -
İstatistiksel süreç kontrolü kullanılarak yazılım sistem test sürecinin iyileştirilmesi
(Başkent Üniversitesi Fen Bilimleri Enstitüsü, 2008)Application of statistical methods on software processes is a required capability to improve processes and their quantitative understanding. Verification and Validation process is one of the most applicable process for ... -
Mıcrofluıdıc bıosensors for poınt of care applıcatıons usıng electrıcal ımpedance analysıs and portable lensless wıde-fıeld mıcroscopy ımagıng
(Başkent Üniversitesi Fen Bilimleri Enstitüsü, 2017)Diagnosis and treatment monitoring near patient or point of care (POC) is an essential need. POC tests can be robust, accurate, cost effective, user friendly, specific, deliverable and sensitive according to current needs. ... -
Notched planar square monopole antenna design by using artificial neural network
(Başkent Üniversitesi Fen Bilimler Enstitüsü, 2022)In this paper, artificial neural network based on multilayer perceptron (MLP) model is applied to the metal-plate notches are carved into the square monopole antenna. Backpropagation algorithms that are Levenberg-Marquardt ... -
Novel electrospun nanofibers loaded different medicament approaches as drug delivery systems for regenerative endodontics
(Başkent Üniversitesi Fen Bilimleri Enstitüsü, 2020)Generally, traumatic tooth injuries with incomplete apical development in addition to dental caries are common causes of pulpal necrosis or infections. Recently, regenerative endodontic therapy has changed the therapeutics ... -
Object classification on noise reduced and data augmented micro-doppler radar spectrograms
(Başkent Üniversitesi Fen Bilimleri Enstitüsü, 2021)The classification of targets is one of the most challenging tasks in radar signal processing. Classifying a target can help radar operators figure out the nature of the target, such as its source and activity. However, ... -
Optımızed weıghted ensemble classıfıer for ıntrusıon detectıon applıcatıon
(Başkent Üniversitesi Fen Bilimleri Enstitüsü, 2017)Computer and communication systems become the foundations of modern life. With the advances in the Internet, usage of these systems increases and intrusions against these systems increases too. Therefore, finding and ... -
An overview of content based instruction with young learners through student self-reported literacy achievement, teacher interview and classroom observation
(Başkent Üniversitesi Eğitim Bilimleri Enstitüsü, 2019)The aim of this study is to review content based instruction (CBI) in foreign language teaching in EFL (English as a Foreign Language)to understand its effectivenes for primary school students.The data collected in the ... -
An Overview of Deep Learning Algorithms and Their Applications in Neuropsychiatry
(2021)Deep learning (DL) algorithms have achieved important successes in data analysis tasks, thanks to their capability of revealing complex patterns in data. With the advance of new sensors, data storage, and processing hardware, ... -
Performance analysis of uplink throughput wıth changing active set size ın cellular radıo systems
(Başkent Üniversitesi Fen Bilimleri Enstitüsü, 2017)Genişband Kod Bölmeli Çoklu Giriş, yüksek yukarı yönlü data transferini destekler. Yumuşak geçiş, servislerin devamlılığına ve genişletilmiş kaliteye yardımcı olur. Hücresel ağ performansı yumuşak geçiş parametresine ... -
Performance evaluation of thoroughly adaptive particle filter (tapf) for 3d radar tracking applications
(Başkent Üniversitesi Fen Bilimleri Enstitüsü, 2019)Building 3-D Radar tracking system generally comes with issues of non-linearity on both state and motion model. In this study, several common tracking algorithms are compared performance-wise under noisy environment, ... -
A Polydentate Ligand Based On 2,2 '-Dipyridylamine Unit Linked Benzo-15-Crown-5; Alkali And Transition Metal Complexes; Photoresponsive Ligand; Antimicrobial Evaluation Against Pathogenic Microorganisms
(2021)New double-armed benzo-15-crown-5 compound (L) was successfully synthesized from 4',5'-bis(bromethyl)benzo-15-crown-5 with 2,2'-dipyridylamine. The synthesized host molecule (L), the dipyridylamine unit was able to coordinate ... -
Recognizing visual places from landscapes with zero shot learning
(Başkent Üniversitesi Fen Bilimleri Enstitüsü, 2021)Image processing and deep learning methods are being developed day by day and the need of recognizing objects and extracting information from visual-based digital multimedia data like pictures and videos is increasing. ... -
The redundancy allocatıon problem: A taxonomic review
(Başkent Üniversitesi Fen Bilimleri Enstitüsü, 2015)Reliability, which can be described as the probability that a system operates on a continuous basis without failure for a pretedetermined mission time, is an important measure of system performance. Being parallel to the ... -
Segmentation on brain MR ımages by using deep learning network and 3d modelling
(Başkent Üniversitesi Fen Bilimleri Enstitüsü, 2021)In the last few years, utilizing deep learning techniques for predicting tumor presence on brain MR images became quite common.We offer a semantic segmentation method that uses a convolutional neural network to autonomously ...