activity
20192025
most citedFractional Order Models of Arterial Windkessel as an Alternative in the Analysis of the Left Ventricular Afterload

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2025

Towards Human-AI-Robot Collaboration and AI-Agent based Digital Twins for Parkinson's Disease Management: Review and Outlook

Hassan Hizeh, Rim Chighri, Muhammad Mahboob Ur Rahman +3

The current body of research on Parkinson's disease (PD) screening, monitoring, and management has evolved along two largely independent trajectories. The first research community…

stat.ME2022

Contribution to the initialization of linear non-commensurate fractional-order systems for the joint estimation of parameters and fractional differentiation orders

Mohamed A. Bahloul, Zehor Belkhatir, Taous-Meriem laleg-Kirati

It has been recognized that using time-varying initialization functions to solve the initial value problem of fractional-order systems (FOS) is both complex and essential in defini…

eess.SY2020★ 1 cited

Fractional-order Modeling of the Arterial Compliance: An Alternative Surrogate Measure of the Arterial Stiffness

Mohamed A. Bahloul, Taous-Meriem Laleg Kirati

Recent studies have demonstrated the advantages of fractional-order calculus tools for probing the viscoelastic properties of collagenous tissue, characterizing the arterial blood…

q-bio.PE2020

Fractional-order SEIQRDP model for simulating the dynamics of COVID-19 epidemic

Mohamed Bahloul, Abderrazak Chahid, Taous Meriem Laleg-Kirati

The novel coronavirus disease (COVID-19) is known as the causative virus of outbreak pneumonia initially recognized in the mainland of China, late December 2019. COVID-19 reaches o…

q-bio.TO2019★ 2 cited

Fractional Order Models of Arterial Windkessel as an Alternative in the Analysis of the Left Ventricular Afterload

Mohamed A. Bahloul, Taous-Meriem Laleg Kirati

In this paper, a new fractional order generalization of the classical Windkessel arterial model is developed to describe the aortic input impedance as an assessment of the left ven…