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Toplam kayıt 7, listelenen: 1-7
Prediction of Li-Ion Battery Discharge Patterns in IoT Devices Under Random Use Via Machine Learning Algorithms
(Oxford University Press, 2022)
This study presents foreseeing of the Lithium-ion battery discharge models for the Internet of Things (IoT) devices under randomized use patterns. IoT systems run in harmony with the human-machine interface, communication ...
A novel fractional operator application for neural networks using proportional Caputo derivative
(Springer, 2022)
In machine learning models, one of the most popular models is artificial neural networks. The activation function is one of the important parameters of neural networks. In this paper, the sigmoid function is used as an ...
DeepOCT: An explainable deep learning architecture to analyze macular edema on OCT images
(Elsevier, 2022)
Macular edema (ME) is one of the most common retinal diseases that occur as a result of the detachment of the retinal layers on the macula. This study provides computer-aided identification of ME for even small pathologies ...
A numerical method for solving a class of systems of nonlinear Pantograph differential equations
(Elsevier, 2022)
In this paper, Fibonacci collocation method is firstly used for approximately solving a class of systems of nonlinear Pantograph differential equations with initial conditions. The problem is firstly reduced into a nonlinear ...
MSDeveloper: A Variability-Guided Methodology for Microservice-Based Development
(MDPI, 2022)
This article presents a microservice-based development approach, MSDeveloper (Microservices Developer), employing variability management for product configuration through a low-code development environment. The purpose of ...
A nonlinear disturbance observer-based adaptive integral sliding mode control for missile guidance system
(Taylor and Francis Ltd., 2022)
A novel composite three-dimensional (3D) guidance law based on an adaptive integral sliding mode (AISM) control utilizing a nonlinear disturbance observer (NDOB) technique is proposed for missiles. First, an integral sliding ...
Breast cancer diagnosis using deep belief networks on ROI images
(Pamukkale Üniversitesi, 2022)
Hand-crafted features are efficient methods for image processing, recognition, and computer vision. However, the advancements in data size and image resolution lead to inconvenience in feature extraction. Moreover, they ...