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Toplam kayıt 13, listelenen: 1-10
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) ...
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. ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...