Yazar "Solyman, Ahmed" seçeneğine göre listele

Listeleniyor 1 - 4 / 4
  • Küçük Resim Yok
    Öğe
    Adaptive Neuro-Fuzzy Inference System (ANFIS) for Rapid Diagnosis of COVID-19 Cases Based on Routine Blood Tests
    (Intelligent Network and Systems Society, 2021) Deif, Mohanad; Hammam, Rania; Solyman, Ahmed
    This article presents an Adaptive Neuro-Fuzzy Inference System (ANFIS) approach to rapidly detect COVID-19 cases using commonly available laboratory blood tests. Current Reverse transcription-polymerase chain reaction (RT-PCR) tests for COVID-19 suffer from several limitations including false-negative results as large as 1520%, the need for certified laboratories, expensive equipment, and trained personnel; hence the development of an efficient diagnosis system that provides prompt and accurate results is of great importance to control the spread of the virus. Therefore, it was aimed to develop an intelligent system to analyze blood tests and identify significant hematological indicators to support COVID-19 diagnosis. This study interpreted the ANFIS model performance by shapely values to identify the most important and decisive parameters that could assist clinicians in making effective patient management decisions. The findings of this study revealed that WBC (White blood cells) & Platelet counts can act as relevant and significant indicators for the diagnosis of COVID-19 patients. Moreover, the proposed ANFIS model achieved a high prediction accuracy as it was able to discriminate between positive and negative COVID-19 patients with an Accuracy, Sensitivity, and Specificity rates of 95%, 75%, and 97.25% respectively even though 10 % only of the data was positive. Therefore by combining available and low-cost blood test results to analysis based on the ANFIS model, we were able to provide an efficient and robust system to diagnose COVID-19. © 2021,International Journal of Intelligent Engineering and Systems All Rights Reserved.
  • Küçük Resim Yok
    Öğe
    Effects of Istanbul's Weather on Free-Space Optical Communications
    (Institute of Electrical and Electronics Engineers Inc., 2022) Alfalih, Mohammed Kadhim; Myderrizi, Indrit; Solyman, Ahmed; Mohammed, Mohaimen
    One of the most important wireless communication technologies for future communication generations is free-space optics (FSO). It is distinguished from radio frequencies (RF) communication by the simplicity of installation, low cost per bit ratio, and high bandwidth of broadband communications networks. The biggest difficulty with FSO is the weather. When the medium of communication is in the atmosphere, weather disturbances such as fog, smog, snow, rain, and dust particles may cause FSO networks to be unavailable and not sufficiently reliable in unsuitable conditions. This paper aims to investigate the distinctive climatic conditions that have an impact on FSO communications, such as attenuation caused by geometry, molecular, atmosphere, fluorescence, snow, and rain in Istanbul, given its privileged location that connects the continents of Asia and Europe, which nominates it to be a conduit for transferring data between the world. As an alternative to optical cables and wireless communication. © 2022 IEEE.
  • Küçük Resim Yok
    Öğe
    Modeling and computational fluid dynamics simulation of blood flow behavior based on MRI and CT for Atherosclerosis in Carotid Artery
    (Springer, 2023) Attar, Hani; Ahmed, Tasneem; Rabie, Rahma; Amer, Ayman; Khosravi, Mohammad R.; Solyman, Ahmed; Deif, Mohanad. A.
    Carotid atherosclerosis is one of the main cardiovascular diseases, widely considered as the main reason for death. Atherosclerosis forms a plaque that impedes blood vessels, and if ruptured, it causes a stroke or heart attack. The treatment protocol for atherosclerosis depends heavily on plaque type, structure, and composition, affecting plaque behavior (stable/unstable) or vulnerability. The fluid-structure interaction between the blood vessels and the blood flow must be examined to study the plaque's behavior. Consequently, this paper aims to reconstruct patient-specific three-dimensional models of the blood vessels for simulation and three-dimensional (3D) Printing, particularly for the carotid artery. In addition, Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) datasets of atherosclerotic vessels are used to reconstruct the 3D model fed into a simulation program to measure the stress, strain, pressure, and velocity to assess the plaque. Five analyses studies were conducted on the constructed blood vessels; Non-pathological Flow in a cylindrical artery, Pathological Flow in a cylindrical artery, Non-pathological Flow in a 2D bifurcating carotid artery, Blood flow analysis in a normal carotid artery, and Blood flow analysis in a stenosed carotid artery. Two validation studies were performed for normal and atherosclerotic arteries. The results agreed with previous well-published work, considering that a 3D realistic model was printed for the vessel. Based on the above, our work provides a simulation environment for predicting atherosclerotic plaque behavior that helps medical specialists choose the proper treatment and preventive medical plans.
  • Küçük Resim Yok
    Öğe
    Prediction of Wear Rates of UHMWPE Bearing in Hip Joint Prosthesis with Support Vector Model and Grey Wolf Optimization
    (Hindawi Limited, 2022) Hammam, Rania E.; Attar, Hani; Amer, Ayman; Issa, Haitham; Vourganas, Ioannis; Solyman, Ahmed; Venu, P.
    One of the greatest challenges in joint arthroplasty is to enhance the wear resistance of ultrahigh molecular weight polyethylene (UHMWPE), which is one of the most successful polymers as acetabular bearings for total hip joint prosthesis. In order to improve UHMWPE wear rates, it is necessary to develop efficient methods to predict its wear rates in various conditions and therefore help in improving its wear resistance, mechanical properties, and increasing its life span inside the body. This article presents a support vector machine using a grey wolf optimizer (SVM-GWO) hybrid regression model to predict the wear rates of UHMWPE based on published polyethylene data from pin on disc (PoD) wear experiments typically performed in the field of prosthetic hip implants. The dataset was an aggregate of 29 different PoD UHMWPE datasets collected from Google Scholar and PubMed databases, and it consisted of 129 data points. Shapley additive explanations (SHAP) values were used to interpret the presented model to identify the most important and decisive parameters that affect the wear rates of UHMWPE and, therefore, predict its wear behavior inside the body under different conditions. The results revealed that radiation doses had the highest impact on the model's prediction, where high values of radiation doses had a negative impact on the model output. The pronounced effect of irradiation doses and surface roughness on the wear rates of polyethylene was clear in the results when average disc surface roughness Ra values were below 0.05 ?m, and irradiation doses were above 95 kGy produced 0 mg/MC wear rate. The proposed model proved to be a reliable and robust model for the prediction of wear rates and prioritizing factors that most significantly affect its wear rates. The proposed model can help material engineers to further design polyethylene acetabular linings via improving the wear resistance and minimizing the necessity for wear experiments. © 2022 Rania E. Hammam et al.