Publications Internationales
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Item Cardio-ankle vascular index (CAVI) is a potential new parameter independent of blood pressure at the time of measurement for arterial stiffness estimation(2023) Radjef, Lilia; Omari, Tahar; Baiche, KarimThe cardio-ankle vascular index (CAVI) is a robust predictor of cardiovascular events. An innovative, non-invasive approach to measuring arterial stiffness. The (CAVI) approach was developed to overcome the limitations of carotid -femoral pulse wave velocity (cf-PWV), the gold standard indicator of arterial stiffness. The present study aims to propose a new algorithm to calculate the cardio-ankle vascular index (CAVI) parameter from Pulse Wave Database (PWDB), that contains the pulse waves of 500 virtual subjects aged between 25 and 75 years, generated from cardiovascular characteristics. The results obtaine d are promising in terms of sensitivity (SEN) and accuracy (ACC). The sensitivity values are (95.18 %, 95.71%, 92.70 %, 90.33%, 89.28%, and 89.05%), and accuracy (ACC) are (91%, 89.4%, 86.4 %, 80.4%, 80 %, and 81.4%) for normal values of (CAVI, cf-PWV, a-PWV, PPamp, AIx, and ABI) respectively. We confirmed the value of (CAVI) as an indicator of cardiovascular disease by investing th e relationship between (CAVI) and several parameters of arterial stiffness including carotid -femoral pulse wave velocity (cf-PWV, r=0.66), arterial stiffness index (AIx, r=0.72), and aortic pulse wave velocity (a-PWV, r=0,96). Pulse pressure amplification showed a negative correlation (PPamp, r=-0.67). A moderate negative correlation was observed with ankle brachial index (ABI, r=-0.38). A weak dependence on different blood pressures at the time of measurement was confirmed, by the coefficients of determination r2 (systolic SBP, 0.08, diastolic DBP, 0.11, mean MBP, 0.10, and pulsed pressures PP, 0.16). The influence of age on arterial stiffness was found with a strong positive correlation between age and cardio-ankle vascular index (CAVI, r=0.88).Item Solving graph coloring problem using an enhanced binary dragonfly algorithm(2019) Baiche, Karim; Meraihi, Yassine; Hina, Manolo Dulva; Ramdane-Cherif, Amar; Mahseur, MohammedThe graph coloring problem (GCP) is one of the most interesting classical combinatorial optimization problems in graph theory. It is known to be an NP-Hard problem, so many heuristic algorithms have been employed to solve this problem. In this article, the authors propose a new enhanced binary dragonfly algorithm to solve the graph coloring problem. The binary dragonfly algorithm has been enhanced by introducing two modifications. First, the authors use the Gaussian distribution random selection method for choosing the right value of the inertia weight w used to update the step vector (∆X). Second, the authors adopt chaotic maps to determine the random parameters s, a, c, f, and e. The aim of these modifications is to improve the performance and the efficiency of the binary dragonfly algorithm and ensure the diversity of solutions. The authors consider the well-known DIMACS benchmark graph coloring instances to evaluate the performance of their algorithm. The simulation results reveal the effectiveness and the successfulness of the proposed algorithm in comparison with some well-known algorithms in the literatureItem Bearing damage detection and diagnosis by multi-scale PCA and Power quality distribution of rotating machinery(2011) Baiche, Karim; Zelmat, M.; Lachouri, A.Item Blind source separation filters-based-fault detection and isolation in a three tank system(Taylor & Francis, 2014) Kouadri, Abdelmalek; Baiche, Karim; Zelmat, MimounItem Vibration analysis of rotating machine by high resolution methods(2006) Baiche, Karim; Zelmat, M.