Yayın tarihi için Bilgisayar Mühendisliği Bölümü Koleksiyonu listeleme
Toplam kayıt 31, listelenen: 21-31
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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 ... -
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 ... -
Learner characteristics and competencies
(Springer, 2023)The advances in technology and the demand for open, distance, and digital education redefined the characteristics and competencies of learners in these learning environments. Although technology ownership and access to an ... -
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 ... -
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, ... -
Machine learning based feature optimization and early detection system in heart diseases
(IEEE, 2023)In today's world, humanity faces a myriad of challenges, many of which pose significant threats to our well-being. Chief among these challenges are health-related issues. Among these health problems, heart diseases stand ... -
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, ... -
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, ...