Identifying and Assessing the Significance of Digital Twin Enablers in the Construction Industry حسب Isbaih, Sara Samir

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Integrated Energy Optimization and Stability Control Using Deep Reinforcement Learning for an All-Wheel-Drive Electric Vehicle حسب Reza Jafari (3494018)

"…To this end, three model-free DRL-based methods, based on deep deterministic policy gradient (DDPG), twin delayed deep deterministic policy gradient (TD3), and TD3 enhanced with curriculum learning (CL TD3), are developed for determining optimal yaw moment control and energy optimization online. …"

A Design Study for Multivariable Feedback Control System Regulation for Aircraft Turbo-Jet Engines حسب El-Hassan, Taher Khalifa Babikir

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Digital Predistortion Using Relaxed Sampling Rates حسب Ahmed, Serien

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Exploring the potential of onboard energy scavenging subsystems for generating valuable data حسب Raziq Yaqub (16488878)

"…This gathered data is seamlessly synchronized with GPS coordinates and timestamps, meticulously organized within a system architecture, and harnessed through meticulously crafted Python code. The wealth of data that we obtain from an onboard energy scavenging subsystem holds significant potential. …"