DC/DC Converter by using FPGA
DC/DC Converter by using FPGA by Amin Barnawi*   and Mohammed Zohday Department of Engineering and Computer Science, Oakland University, Rochester, 48309, USA * Author to
Journal Menu
Journal Browser
Special Issues
Special Issue on Computing, Engineering and Sciences
Guest Editors: Prof. Paul Andrew
Deadline: 30 April 2025
Special Issue on Advances in Medical Imaging: Novel Techniques and Clinical Applications
Guest Editors: Muhammad Yaqub, Atif Mehmood, Muhammad Salman Pathan
Deadline: 31 December 2024
Special Issue on Medical Imaging based Disease Diagnosis using AI
Guest Editors: Azhar Imran, Anas Bilal, Saif ur Rehman
Deadline: 31 December 2024
Special Issue on Multidisciplinary Sciences and Advanced Technology
Guest Editors: Paul Andrew
Deadline: 15 October 2024
DC/DC Converter by using FPGA by Amin Barnawi*   and Mohammed Zohday Department of Engineering and Computer Science, Oakland University, Rochester, 48309, USA * Author to
An Advanced Load-Line Analysis Software for use in the Design and Simulation of Microwave Low-Distortion, High-Efficiency and High-Power GaN HEMT Amplifiers by Yasushi Itoh* ,
VSC-HVDC Robust LMI Optimization Approaches to Improve Small-Signal and Transient Stability of Highly Interconnected AC grids by Yankai Xing 1 , Elkhatib Kamal 1, Bogdan Marinescu 1*
An Analysis of SiC Power Electronics Implementation in Green Energy Based Extremely Fast Charging by Naireeta Deb 1,* , Rajendra Singh 2 1 Holcombe Department
Volume 1, Issue 5 Download Complete Issue This issue presents a collection of 26 scholarly research endeavors that exemplify the breadth and depth of contemporary
Special Issue on Multidisciplinary Sciences and Advanced Technology Download Complete Issue ABC Editorial Front Cover Publication Month: January 2022, Page(s): A1 – A1Â Editorial Board
Open Access Article A Bibliometric Analysis Review on Energy Optimization while Designing Wireless Sensor Networks by Makwena Idah Masopoga 1 , Mbuyu Sumbwanyambe 2 Zenghui
Open Access Article Evaluation of equivalent acceleration factors of repairable systems in a fleet: a process-average-based approach by Renyan Jiang  1, 2, Kunpeng Zhang 1,2Â
A Thorough Examination of the Importance of Machine Learning and Deep Learning Methodologies in the Realm of Cybersecurity: An Exhaustive Analysis by Ramsha Khalid 1,
Volume 3, Issue 3 Download Complete Issue This editorial presents five papers addressing diverse technological challenges. The first investigates the impact of Environmental, Social, and
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.