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Yerli Uçuş Kontrol Kartına Sahip Zirai Görüntüleme Dronu
(2023)
Yerli Uçuş Kontrol Kartına Sahip Zirai Görüntüleme Dronu-KOSGEB PROJESİ
A review of Modular Multilevel Converter for Stationary Applications
(2020)
A modular multilevel converter (MMC) is an advanced voltage source converter applicable to a wide range of medium and high-voltage applications. It has competitive advantages such as quality output performance, high ...
Prediction and modelling of energy consumption on temperature control for greenhouses
(2018)
Prediction of the energy consumption is the most
important topic for planning to build an energy power station. This energy
power station can be non-renewable sources power plants or renewable power
plants like wind and ...
ASYU 2023
(2023)
ASYU 2023 düzenleme komitesi üyeliği
An Optimized Overcurrent Protection Study Using Enough Number of SFCL at Optimal Points of a Distributed Real City Grid
(2021)
In this paper, a new approach to an optimized overcurrent protection in a distributed real city grid is presented. A superconducting fault current limiter (SFCL) can be used for solving overcurrent problems. The most ...
SEPIC converter with an LC regenerative snubber for EV applications
(2020)
A Single-Ended Primary-Inductor Converter (SEPIC) converter with an Inductor-Capacitor (LC) regenerative snubber is proposed to reduce Electromagnetic Interference (EMI) for Electric Vehicle (EV) applications. The switching ...
ICEEE 2023
(2023)
ICEEE 2023-Düzenleme kurul üyeliği
Ensemble Learning Framework for DDoS Detection in SDN-Based SCADA Systems
(2023)
Supervisory Control and Data Acquisition (SCADA) systems play a crucial role in overseeing and controlling renewable energy sources like solar, wind, hydro, and geothermal resources. Nevertheless, with the expansion of ...
Improving Performance of Three-Phase Slim DCLink Drives Utilizing Virtual Positive Impedance Based Active Damping Control
(2018)
In this paper, a virtual positive impedance (VPI) based active damping control for a slim DC-link motor drive with 24 section space vector pulse width modulation (SVPWM) is proposed. Utilizing the proposed control and ...
"Multi-Stage Learning Framework Using Convolutional Neural Network and Decision Tree-Based CV-Ahmet AKSÖZ Classification for Detection of DDoS Pandemic Attacks in SDN-Based SCADA Systems
(2024)
Supervisory Control and Data Acquisition (SCADA) systems, which play a critical role in monitoring, managing, and controlling industrial processes, face flexibility, scalability, and management difficulties arising from ...