Tür "article" Bilgisayar Mühendisliği Bölümü Koleksiyonu için listeleme
Toplam kayıt 18, listelenen: 1-18
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Accuracy improvement in Ag:a-Si memristive synaptic device-based neural network through Adadelta learning method on handwritten-digit recognition
(Springer, 2023)Traditional computing architecture (Von Neumann) that requires data transfer between the off-chip memory and processor consumes a large amount of energy when running machine learning (ML) models. Memristive synaptic devices ... -
ANOVA method reveals key factors influencing geopolymer strength: A comprehensive evaluation of input variables
(IEEE, 2023)In this study, we present an ANOVA (Analysis of Variance) method conducted on a geopolymer dataset. The analysis focuses on evaluating the impact of various input variables, including OB, GW, FA, S, M, M/B, AGE, HEAT, SiO2, ... -
Bilgisayar ve öğretim teknolojileri eğitimi bölümü öğrencilerinin öğretim tasarımı yeterliklerinin incelenmesi
(2021)Bilgisayar ve Öğretim Teknolojileri Eğitimi (BÖTE) bölümü mezunlarının öğretim tasarımı yeterliklerini de içine alan geniş bir yelpazede görevleri yerine getirmeleri beklenmektedir. Ancak BÖTE öğretim programı içerisinde ... -
Comparative analysis of energy costs of asymmetric vs symmetric encryption-based security applications
(IEEE, 2022)Public key algorithms are heavily used in many digital applications including key establishment schemes, secure messaging apps, and digital signature schemes in cryptocurrencies. Recent developments in the field of quantum ... -
Correlation value determined to increase Salmonella prediction success of deep neural network for agricultural waters
(Springer, 2022)The use of computer-based tools has been becoming popular in the field of produce safety. Various algorithms have been applied to predict the population and presence of indicator microorganisms and pathogens in agricultural ... -
Development and evaluation of ensemble learning models for detection of distributed denial-of-service attacks in ınternet of things
(Hitit University, 2022)Internet of Things that process tremendous confidential data have difficulty performing traditional security algorithms, thus their security is at risk. The security tasks to be added to these devices should be able to ... -
Distributed denial of service (DDoS): A history
(IEEE, 2022)Distributed denial of service (DDoS) attacks remain a persistent nuisance on the Internet. They exploit the fact that the Internet lacks centralized access control. Since this vulnerability was a core design decision of ... -
ESAR: Enhanced secure authentication and revocation scheme for vehicular ad hoc networks
(Elsevier, 2022)Vehicle Ad Hoc Network (VANET) systems that use Public Key Infrastructure (PKI) experience significant delays when checking Certificate Revocation Lists (CRLs) and performing key pair-based asymmetric cryptographic operations. ... -
Hybrid machine learning model coupled with school closure for forecasting covıd-19 cases in the most affected countries
(2021)Coronavirus disease (Covid-19) caused millions of confirmed cases and deaths worldwide since first appeared in China. Forecasting methods are essential to take precautions early and control the spread of this rapidly ... -
Increasing the performance of a hospital department with budget allocation model and machine learning assisted by simulation
(Taylor & Francis Inc., 2024)The COVID-19 pandemic highlighted the critical need for efficient resource management in healthcare. In this study, the internal medicine outpatient clinic in a hospital is modelled by simulation method. Appropriate ... -
An investigation of the factors that influence online learners' satisfaction with the learning experience
(Springer, 2023)Online learning environments offer flexibility for learners who would like to study at a distance. However, research informs us that online learners are usually less likely to complete the learning experience and more ... -
Measuring instructional design competencies of future professionals: construct validity of the ibstpi(R) standards
(Springer, 2021)Competencies that constitute the instructional design profession and how these competencies should be measured have been of interest to researchers for many years. Among the competency sets developed to date, the ibstpi(R) ... -
Neuro-inspired hardware solutions for high-performance computing: A TiO2-based nano-synaptic device approach with backpropagation
(Elsevier, 2024)Computer-based machine learning algorithms that produce impressive performance results are computationally demanding and thus subject to high energy consumption during training and testing. Therefore, compact neuro-inspired ... -
A novel framework for strength prediction of geopolymer mortar: Renovative precursor effect
(Elsevier, 2023)Concrete is the most used building material today as it has many advantages due to its structure. Geopolymer composites could potentially replace concrete in the future due to the demands of the construction industry. The ... -
Predicting mechanical properties in geopolymer mortars, including novel precursor combinations, through XGBoost method
(Springer, 2024)Concrete is the most widely used material in the building industry due to its affordability, durability, and strength. However, considering carbon emissions, it is believed that concrete will be replaced by geopolymers in ... -
Recurrent neural network and long short-term memory models for audio copy-move forgery detection: a comprehensive study
(Springer, 2024)One of the most pressing challenges in audio forgery detection—a major topic of signal analysis and digital forensics research—is detecting copy-move forgery in audio data. Because audio data are used in numerous sectors, ... -
Solution and performance analysis of subset sum problem with a new metaheuristic approach
(TUBITAK, 2020)Subset sum problem was solved with two different metaheuristic approaches in the study. After these approaches, which are simulated annealing and genetic algorithms, a hybrid model of two methods was created and better ... -
Stacked ensemble modeling for improved tuberculosis treatment outcome prediction in pediatric cases
(Wiley, 2024)The promising results of ML (machine learning) methods in various disciplines have led to the frequent use of these methods in health fields such as disease diagnosis, personalized medicine, medical image-based diagnosis, ...