Automating microfluidic chip design: Hybrid approach combines machine learning with fluid mechanics

Researchers led by Assoc. Prof. Dr. Savaş Taşoğlu from the Department of Mechanical Engineering at Koç University have developed a new, open-access and machine learning-assisted design tool aimed at ...
IEEE

Deep Learning-Based PID Controller Tuning for Effective Speed Control of DC Shunt Motors

Abstract: Electric vehicles (EVs) have become essential due to the depletion of fuel energy resources. DC machines and their role in EVs are gaining significant attention. The speed of DC motor-driven ...
IEEE

Enhancing UAV Altitude Control: PID Tuning with Reinforcement Learning and Genetic Algorithm

Abstract: This paper explores the optimization of Proportional-Integral-Derivative (PID) controller gains to enhance the altitude control of Unmanned Aerial Vehicle (UAV)s, focusing on achieving ...