D
Dhafer Almakhles
Researcher at Prince Sultan University
Publications - 127
Citations - 1509
Dhafer Almakhles is an academic researcher from Prince Sultan University. The author has contributed to research in topics: Computer science & Topology (electrical circuits). The author has an hindex of 12, co-authored 108 publications receiving 594 citations. Previous affiliations of Dhafer Almakhles include University of Auckland & University College of Engineering.
Papers
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Journal ArticleDOI
Design of resilient reliable control for uncertain periodic piecewise systems with time-varying delay and disturbances
TL;DR: The resilient reliable control scheme is designed to stabilize the addressed system with satisfactory disturbance attenuation index and the potential and impact of the developed control scheme are examined by presenting two numerical examples including the periodic piecewise vibration systems.
Journal ArticleDOI
Non-Fragile Fault Alarm-Based Hybrid Control for the Attitude Quadrotor Model With Actuator Saturation
TL;DR: The efficiency of the developed theoretical result is validated by presenting the simulation result for the quadrotor model and also clearly shows the timely alert performance of the designed alarm signal to restrain the system stability.
Proceedings ArticleDOI
Two-Tier Converter: A New Structure of High Gain DC-DC Converter with Reduced Voltage Stress
Nikita Gupta,Mahajan Sagar Bhaskar,Dhafer Almakhles,Padmanaban Sanjeevikumar,Frede Blaabjerg,Zbigniew Leonowicz +5 more
TL;DR: This paper suggests an original structure of high-gain DC to DC converter named as “Two-Tier converter” with the reduction in voltage stress, resultant of stacking two-stage of the classical boost converter.
Proceedings ArticleDOI
Novel Non-Isolated Quad-Switched Inductor Double-Switch Converter for DC Microgrid Application
Nikita Gupta,Mahajan Sagar Bhaskar,Dhafer Almakhles,Padmanaban Sanjeevikumar,Umashankar Subramaniam,Zbigniew Leonowicz,Massimo Mitolo +6 more
TL;DR: A novel DC to DC converter called Quad-Switched-Inductor Double-Switch (QSI-DS) converter for microgrid voltage step-up applications and theoretical analysis and performance of the suggested topology of converter validated through Simulink model.
Journal ArticleDOI
An Expert System for COVID-19 Infection Tracking in Lungs Using Image Processing and Deep Learning Techniques.
TL;DR: In this article, the authors have implemented an efficient preprocessing and classification technique for respiratory disease detection using deep neural networks and histogram of oriented gradients (HOG) for lung X-ray images.