K.N.Toosi University of Technology

Application of Medicare Part D data in Alzheimer’s disease and related dementias: a scoping review

Although Medicare Part D data are extensively used in pharmacoepidemiologic research, no previous synthesis has assessed their role in studies of Alzheimer’s disease and related dementias (ADRD). This scoping review aims to map how Medicare Part D data have been employed to exami...

Classification of sleep apnea based on EEG signals using ensemble learning methods

Sleep Apnea Syndrome (SAS) is a common disorder characterized by repeated cessation of airflow during sleep. Accurate classification of its main subtypes—Obstructive Sleep Apnea (OSA), Central Sleep Apnea (CSA), and Normal Breathing (NB)—is essential for effective clinical manage...

Upcycling copper chips into Cu–Fe alloys via coating-assisted plasma sintering

Upcycling metal machining waste into functional engineering materials offers a sustainable pathway for value-added manufacturing. In this work, a new coated chip plasma sintering (CCPS) strategy was introduced to produce Cu–Fe alloys from discarded copper chips. Copper chips gene...

Safe and adaptive control of non-stationary stochastic systems via Lyapunov-constrained distributional reinforcement learning

Abstract Non-stationary environments pose significant challenges for reinforcement learning (RL), particularly in safety-critical applications like robotics and energy systems, where adaptability, stability, and robustness to uncertainty are essential. This paper introduces Lyapu...

Extreme vulnerability to intruder attacks destabilizes network dynamics

Abstract Consensus, synchronization, formation control, and power grid balance are examples of desirable dynamical states that arise in networks. Here we investigate how such states can be destabilized by an intruder agent within an otherwise functioning network. We see that a si...

Performance Analysis of Q-Learning; DQN-Enhanced PID Controllers for Aircraft Trajectory Tracking Under Wind Disturbances

Traditional fixed-gain proportional–integral–derivative (PID) controllers often exhibit limited adaptability when regulating the longitudinal motion of passenger aircraft under varying flight conditions and external disturbances. This study proposes an adaptive control framework...