Yazar "Yılmaz, Yıldıran" için listeleme

Accuracy improvement in Ag:a-Si memristive synaptic device-based neural network through Adadelta learning method on handwritten-digit recognition

Yılmaz, Yıldıran (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

Yılmaz, Yıldıran; Çakmak, Talip; Kurt, Zafer (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, ...

Comparative analysis of energy costs of asymmetric vs symmetric encryption-based security applications

Halak, Basel; Yılmazi Yıldıran; Shiu, Daniel (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

Buyrukoğlu, Selim; Yılmaz, Yıldıran; Topalcengiz, Zeynal (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 ...

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 ...

Development and evaluation of ensemble learning models for detection of distributed denial-of-service attacks in ınternet of things

Yılmaz, Yıldıran; Buyrukoğlu, Selim (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 ...

Hybrid machine learning model coupled with school closure for forecasting covıd-19 cases in the most affected countries

Yılmaz, Yıldıran; Buyrukoğlu, Selim (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

Alim, Muzaffer; Yılmaz, Yıldıran; Boz, Esra (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 ...

Neuro-inspired hardware solutions for high-performance computing: A TiO2-based nano-synaptic device approach with backpropagation

Yılmaz, Yıldıran; Gül, Fatih (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 ...