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Toplam kayıt 6, listelenen: 1-6
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 ...
Görüntü Tabanlı Kamera Konumlandırma İçin Farklı Eniyileme Tekniklerinin Başarım Değerlendirmesi
(Institute of Electrical and Electronics Engineers Inc., 2022)
In this study, the performance evaluation of different optimization methods in calculating the change of camera movement, in other words the camera position and angle, was made on images taken from different views with the ...
Arttırılmış Oransal Seyrüsefer Güdümüne Gözleyici Etkisinin Farklı Hedef Modellerine Göre İncelenmesi
(Institute of Electrical and Electronics Engineers Inc., 2022)
In this study, a new three-dimensional (3D) guidance law based on an the augmented proportional navigation guidance law utilizing a disturbance observer (DOB) technique is proposed considering different target models. The ...
A Novel Software for Automatic Calibration Factor Measurement of RF Power Sensors
(IInstitute of Electrical and Electronics Engineers Inc., 2022)
In this letter, a software for calibration factor (CF) measurement of radio frequency (RF) power sensors (PS) by using VNA-based direct comparison transfer method (VBDCTM) was developed on C# platform. Measurements were ...
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 ...