Başlık için Bilgisayar Mühendisliği Bölümü Koleksiyonu listeleme
Toplam kayıt 38, listelenen: 13-32
-
Cusum - Entropy: An efficient method for DDoS attack detection
(Ieee, 2016)Computers and Internet have evolved into necessary tools for our professional, personal and social lives. As a result of growing dependence, the availability of these systems has become a concern. This concern increases ... -
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. ... -
Fuzzy rule based classification system from vehicle-to-grid data
(IEEE, 2021)Vehicle-to-Grid (V2G) system is becoming a very popular concept since it has various benefits such as reducing energy consumption, being environmental friendly, bi-directional charging, and load balancing. Although, it ... -
Human-animal recognition in camera trap images
(Ieee, 2018)Camera trap is an image sensor that is widely used in monitoring biodiversity, identifying and tracking species in natural life. in this study, we investigate human-animal distinction in image dataset obtained from camera ... -
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 ... -
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 ... -
Lightweight offline authentication scheme for secure remote working environment
(IEEE, 2021)During pandemic situations, remote work security and reliability become more important for sustainability. The main problem in remote working is providing a reliable internet connection between remote working employees and ... -
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 ... -
MARS: Machine learning based Adaptable and Robust Network Management for Software-defined Networks
(Institute of Electrical and Electronics Engineers Inc., 2020)Traditional networks were initially designed to scale fast, but in turn are harder to monitor and manage. The rise in the Internet of Things (IoT) has caused an increase in the number of mobile nodes and thus the topology ... -
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 ... -
An overview of cryptographic accumulators
(Scitepress, 2021)This paper contributes a primer on cryptographic accumulators and how to apply them practically. A cryptographic accumulator is a space- and time-efficient data structure used for set membership tests. Since it is possible ... -
Performance analysis of blockchain-based systems for industry applications
(Association for Computing Machinery, 2020)Blockchain is the most prominent phenomenon of the technological world and provides a foundation for future ecosystems to build trust less nodes in a distributed system. However, the security and privacy provided by the ... -
Performance comparison of support vector machine and K-nearest neighbor algorithms in leaf recognition system based on android operating system
(Institute of Electrical and Electronics Engineers Inc., 2019)Plants are an important factor in conservation the ecological balance. There are thousands of plant species in the world. Due to the diversity of plant species, it is very important that plant species can be detected ... -
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 ...