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Cervical Cancer Prediction Empowered with Federated Machine Learning

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Computers, Materials & Continua 2024年第4期79卷 963-981页

作者： Muhammad Umar Nasir Omar kassem Khalil Karamath Ateeq Bassam SaleemAllah Almogadwy M.A.Khan Khan Muhammad Adnan Department of Computer Sciences Bahria University Lahore CampusLahore54000Pakistan Faculty of Information Technology Liwa CollegeAbu Dhabi20009UAE Department of Computing Skyline University CollegeSharjah999041UAE Department of Computer Science Taibah UniversityMedina42315Saudi Arabia Riphah School of Computing and Innovation Faculty of ComputingRiphah International UniversityLahore54000Pakistan Department of Software Faculty of Artificial Intelligence and SoftwareGachon UniversitySeongnam13120Korea

Cervical cancer is an intrusive cancer that imitates various women around the world. Cervical cancer ranks in thefourth position because of the leading death cause in its premature stages. The cervix which is the lower end of thevagina that connects the uterus and vagina forms a cancerous tumor very slowly. This pre-mature cancerous tumorin the cervix is deadly if it cannot be detected in the early stages. So, in this delineated study, the proposed approachuses federated machine learning with numerous machine learning solvers for the prediction of cervical cancer totrain the weights with varying neurons empowered fuzzed techniques to align the neurons, Internet of MedicalThings (IoMT) to fetch data and blockchain technology for data privacy and models protection from hazardousattacks. The proposed approach achieves the highest cervical cancer prediction accuracy of 99.26% and a 0.74%misprediction rate. So, the proposed approach shows the best prediction results of cervical cancer in its early stageswith the help of patient clinical records, and all medical professionals will get beneficial diagnosing approachesfrom this study and detect cervical cancer in its early stages which reduce the overall death ratio of women due tocervical cancer.

关键词： Cervical cancer federated machine learning neurons blockchain technology

Intelligent Fractional-Order Controller for SMES Systems in Renewable Energy-Based Microgrid

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Computer Modeling in Engineering & Sciences 2024年第8期140卷 1807-1830页

作者： Aadel M.Alatwi Abualkasim Bakeer Sherif A.Zaid Ibrahem E.Atawi Hani Albalawi Ahmed M.kassem Electrical Engineering Department Faculty of EngineeringUniversity of TabukTabuk47913Saudi Arabia Industrial Innovation and Robotic Center(IIRC) University of TabukTabuk47731Saudi Arabia Department of Electrical Engineering Faculty of EngineeringAswan UniversityAswan81542Egypt Renewable Energy and Environmental Technology Centre University of TabukTabuk47913Saudi Arabia Electrical Engineering Department Faculty of EngineeringSohag UniversitySohag82524Egypt

An autonomous microgrid that runs on renewable energy sources is presented in this *** has a supercon-ducting magnetic energy storage(SMES)device,wind energy-producing devices,and an energy storage ***,because such microgrids are nonlinear and the energy they create varies with time,controlling and managing the energy inside them is a difficult ***-order proportional integral(FOPI)controller is recommended for the current research to enhance a standalone microgrid’s energy management and *** suggested dedicated control for the SMES comprises two loops:the outer loop,which uses the FOPI to regulate the DC-link voltage,and the inner loop,responsible for regulating the SMES current,is constructed using the intelligent FOPI(iFOPI).The FOPI+iFOPI parameters are best developed using the dandelion optimizer(DO)approach to achieve the optimum *** suggested FOPI+iFOPI controller’s performance is contrasted with a conventional PI controller for variations in wind speed and microgrid *** optimal FOPI+iFOPI controller manages the voltage and frequency of the *** behavior of the microgrid as a reaction to step changes in load and wind speed was measured using the proposed *** simulations were used to evaluate the recommended system’s *** results of the simulations showed that throughout all interruptions,the recommended microgrid provided the load with AC power with a constant amplitude and *** addition,the required load demand was accurately ***,the microgrid functioned incredibly well despite SMES and varying wind *** obtained under identical conditions were compared with and without the best FOPI+iFOPI *** utilizing the optimal FOPI+iFOPI controller with SMES,it was found that the microgrid performed better than the microgrid without SMES.

关键词： Fractional-order proportional integral(FOPI) intelligent controller renewable energy resources superconducting magnetic energy storage optimization

Federated Machine Learning Based Fetal Health Prediction Empowered with Bio-Signal Cardiotocography

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Computers, Materials & Continua 2024年第3期78卷 3303-3321页

作者： Muhammad Umar Nasir Omar kassem Khalil Karamath Ateeq Bassam SaleemAllah Almogadwy Muhammad Adnan Khan Muhammad Hasnain Azam Khan Muhammad Adnan Department of Computer Sciences Bahria University Lahore CampusLahore54000Pakistan Faculty of Information Technology Liwa CollegeAbu Dhabi00000United Arab Emirates Department of Computing Skyline University CollegeSharjah1797United Arab Emirates Department of Computer Science Taibah UniversityMedina42353Saudi Arabia Riphah School of Computing and Innovation Faculty of ComputingRiphah International UniversityLahore CampusLahore54000Pakistan Department of Engineering and Development Dubizzle LabsLahore54000Pakistan Department of Software Faculty of Artificial Intelligence and SoftwareGachon UniversitySeongnam-si13120Korea

Cardiotocography measures the fetal heart rate in the fetus during pregnancy to ensure physical health because cardiotocography gives data about fetal heart rate and uterine shrinkages which is very beneficial to detect whether the fetus is normal or suspect or *** cardiotocography measures infer wrongly and give wrong predictions because of human *** traditional way of reading the cardiotocography measures is the time taken and belongs to numerous human errors as *** condition is very important to measure at numerous stages and give proper medications to the fetus for its *** the current period Machine learning(ML)is a well-known classification strategy used in the biomedical field on various issues because ML is very fast and gives appropriate results that are better than traditional *** techniques play a pivotal role in detecting fetal disease in its early *** research article uses Federated machine learning(FML)and ML techniques to classify the condition of the *** study proposed a model for the detection of bio-signal cardiotocography that uses FML and ML techniques to train and test the ***,the proposed model of FML used numerous data preprocessing techniques to overcome data deficiency and achieves 99.06%and 0.94%of prediction accuracy and misprediction rate,respectively,and parallel the proposed model applying K-nearest neighbor(KNN)and achieves 82.93%and 17.07%of prediction accuracy and misprediction accuracy,***,by comparing both models FML outperformed the KNN technique and achieved the best and most appropriate prediction results as compared with previous studies the proposed study achieves the best and most accurate results.

关键词： Cardiotocography ML FML fetal disease bio-signal

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中国—中东国家的经济贸易关系研究

中国—中东国家的经济贸易关系研究

作者：卡森（ali kassem Ramadan）吉林大学

学位级别：硕士

中东地区在世界板块上占据着重要的地理位置，它是联系着亚、欧、非三大洲的纽带，是东西方经贸往来的重要交通枢纽。此外，中东国家拥有十分丰富的能源资源，包括水资源以及油气资源等，由于战略位置的重要性，使得中东地区成为世界上... 详细信息

中东地区在世界板块上占据着重要的地理位置，它是联系着亚、欧、非三大洲的纽带，是东西方经贸往来的重要交通枢纽。此外，中东国家拥有十分丰富的能源资源，包括水资源以及油气资源等，由于战略位置的重要性，使得中东地区成为世界上政治、经济最为敏感的地区，能源争夺战与社会动乱在中东国家常有发生。随着中国经济的快速发展，对能源资源的紧缺日趋严重，中东国家与中国的经贸关系由于中东复杂的局势而存在一定的发展机遇，也存在一定的挑战。本文基于对促进中东国家与中国经贸关系发展的有利因素的探讨，分析中东国家与中国经贸关系的发展现状，深刻剖析存在于中东国家与中国经贸关系中的问题与阻碍因素，并力图给出有效地解决方案与对策，旨在进一步加强中东国家与中国经贸关系的快速、健康发展。论文共分为五章。第一章是绪论部分，主要阐述论文的选题背景与研究意义，分析相关文献综述的写作思路与观点，介绍论文的结构思路、研究方法以及重难点;第二章开始是正论部分，探究中东国家与中国经贸关系发展的有利因素。其中，中东国家与中国巨大的市场潜力、经贸结构的互补、经济基础的雄厚以及政治基础坚固等，都促进了中东国家与中国双边经贸关系的日益加强;第三章分析中东国家与中国双边投资现状与双边贸易合作现状，并研究中东国家与中国双边经贸关系的近年来呈现出的特点;第四章探讨中东国家与中国在经贸合作过程中存在的主要问题与阻碍因素，包括中东国家政局的动荡、双边经贸的交通不便利、投资规模与双边经济实力不符以及双边贸易结构单一等;第五章在第四章的基础之上，提出促进中东国家与中国双边经贸关系发展的针对性的对策与建议;最后是论文的结论部分，概括和总结了整篇论文阐述的观点，并对中东国家与中国经贸关系发展前景进行了展望。

关键词：中国中东国家经贸关系现状问题对策

New Antenna Array Beamforming Techniques Based on Hybrid Convolution/Genetic Algorithm for 5G and Beyond Communications

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Computer Modeling in Engineering & Sciences 2024年第3期138卷 2749-2767页

作者： Shimaa M.Amer Ashraf A.M.Khalaf Amr H.Hussein Salman A.Alqahtani Mostafa H.Dahshan Hossam M.kassem Electronics and Communications Engineering Department Higher Institute of Engineering and TechnologyKafr ElsheikhEgypt Electronics and Electrical Communications Engineering Department Faculty of EngineeringMinia UniversityMiniaEgypt Electronics and Electrical Communications Engineering Department Faculty of EngineeringTanta UniversityTantaEgypt Electronics and Electrical Communications Engineering Department Faculty of EngineeringHorus University EgyptNew DamiettaEgypt Department of Computer Engineering College of computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia School of Computing Mathematics and EngineeringCharles Sturt UniversityBathurstNSW2795Australia

Side lobe level reduction(SLL)of antenna arrays significantly enhances the signal-to-interference ratio and improves the quality of service(QOS)in recent and future wireless communication systems starting from 5G up to ***,it improves the array gain and directivity,increasing the detection range and angular resolution of radar *** study proposes two highly efficient SLL reduction *** techniques are based on the hybridization between either the single convolution or the double convolution algorithms and the genetic algorithm(GA)to develop the Conv/GA andDConv/GA,*** convolution process determines the element’s excitations while the GA optimizes the element *** M elements linear antenna array(LAA),the convolution of the excitation coefficients vector by itself provides a new vector of excitations of length N=(2M−1).This new vector is divided into three different sets of excitations including the odd excitations,even excitations,and middle excitations of lengths M,M−1,andM,*** the same element spacing as the original LAA is used,it is noticed that the odd and even excitations provide a much lower SLL than that of the LAA but with amuch wider half-power beamwidth(HPBW).While the middle excitations give the same HPBWas the original LAA with a relatively higher *** the increased HPBWof the odd and even excitations,the element spacing is optimized using the ***,the synthesized arrays have the same HPBW as the original LAA with a two-fold reduction in the ***,for extreme SLL reduction,the DConv/GA is *** this technique,the same procedure of the aforementioned Conv/GA technique is performed on the resultant even and odd excitation *** provides a relatively wider HPBWthan the original LAA with about quad-fold reduction in the SLL.

关键词： Array synthesis convolution process genetic algorithm(GA) half power beamwidth(HPBW) linear antenna array(LAA) side lobe level(SLL) quality of service(QOS)

Takotsubo Cardiomyopathy Triggered by Acute Pancreatitis: A Case Report

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Case Reports in Clinical Medicine 2024年第4期13卷 87-94页

作者： Ketevan Kapanadze Elene Shengelia Keti Solomnishvili Ahmed Saleh Abdelkader Maha kassem Internal Medicine and Intensive Therapy Department Tbilisi Central Hospital Tbilisi Georgia Internal Medicine Residency Program Tbilisi State Medical University Tbilisi Georgia School of Medicine New Vision University Tbilisi Georgia

Takotsubo cardiomyopathy is a heart condition that is widely known to be caused by stress. It presents with symptoms that are similar to a myocardial infarction even though the coronary arteries are clear. This case report details the clinical characteristics, diagnostic assessment, and management plan of a 55-year-old male patient with a past medical history of alcoholism who arrived at the emergency department with the typical symptoms of acute pancreatitis. The case demonstrates the progression of Takotsubo cardiomyopathy, which was triggered by acute pancreatitis in the context of alcoholism, and underlines the significance of early detection and management to enhance the patient’s outcomes.

关键词： Takotsubo Cardiomyopathy Acute Pancreatitis Alcoholism Epigastric Pain

Phase Characterizations and Photocatalytic Applications of CuO-K_2Mo_4O_(13) Composites

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Acta Metallurgica Sinica(English Letters) 2014年第1期27卷 180-184页

作者： M.kassem Chemistry Department Atomic Energy Commission of Syria

A series of CuO-K2Mo4013 composite materials have been prepared by mixing appropriates quantities, in solid state, of CuO and pure K2Mo4013 according to the molar ratios CuO/K2Mo4013 = 0.05, 0.1, 0.2, 0.5, and 1. The prepared samples were characterized using techniques such as X-ray diffraction （XRD）, Fourier transform infrared spectroscopy （FT-IR）, differential thermal analysis （DTA）, nitrogen adsorption measurements, and UV spectroscopy. According to XRD results, the phase composition of the CuO-KeMo4013 systems has significantly changed by increasing the molar ratio CuO/ K2Mo4013 where new phases, identified as K2Mo3Olo and CuMoO4, have been detected. The formation of these new phases has been tracked through FT-IR and DTA measurements. The nitrogen adsorption-desorption measurements also reveal a change in the pore type of the studied materials due to the presence of these new phases. The photocatalytic activities of K2M04OI3 and CuO-K2Mo4013 composites were studied by means of monitoring the ability of these materials to the degradation, under UV irradiation, of methyl red in liquid media. It was found that the phase composition of the used samples significantly controls their photocatalytic activities.

关键词： Potassium tetramolybdate Copper oxide Composite Photocatalyst

Statistical Relationship Between UVB(280-320nm) and Broadband Solar Radiation(295-2800nm) at a Subtropical Location(Qena,Egypt)

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Atmospheric and Oceanic Science Letters 2013年第4期6卷 173-178页

作者： Mahmoud El-Nouby ADAM Khalafallah Omar kassem Emad ali AHMED Quality Assurance Unit(ali) King Saud University Faculty of Science(Physics Department) South Valley University

The present study quantifies the relationship between ultraviolet-B(UVB) and broadband solar radiation(G) at Qena,*** from 10-year hourly integrated totals for both UVB and G on a horizontal surface were used to determine the best fit between the two radiation *** the basis of the correlation of determination(r2),a second-order polynomial was determined to provide the best *** the purpose of developing an empirical model to estimate UVB,all of the cases of UVB and G from a nine-year study from 2001 to 2009 were *** and seasonal empirical models,as well as a general expression,were established for UVB as a function of *** values of r2 ranged from 0.90 to *** using a new dataset of G,the estimated and the corresponding measured values of UVB were determined to be in good agreement whereby the values of r2 between the two ranged from 0.91 to *** addition,the significance and performance of the regression forms were evaluated with the aid of several statistical analysis *** values of the index of modeling(d) and coefficient of modeling efficiency(ME) were close to ***,the values of RMSE,mean bias error(MBE),and mean absolute error(MAE) were lower than the experimental *** the basis of this analysis,it has been determined that the suggested regression forms can be used to estimate UVB when it difficult to obtain measurements or when measurements are available only for limited periods at the studied region.

关键词：太阳辐射 UVB 统计关系埃及宽带亚热带纳米位置

Candida endocarditis: Update on management considerations

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World Journal of Cardiology 2023年第10期15卷 469-478页

作者： Yasser Jamil Akintayo Akinleye Mojtaba Mirzaei Matthew Lempel kassem Farhat Samuel Pan Department of Internal Medicine Yale School of MedicineWaterburyCT 06708United States Department of Rheumatology Yale School of MedicineNew HavenCT 06510United States Department of Infectious Disease Yale School of MedicineWaterburyCT 06708United States

The rise in incidence rates of invasive candidiasis warrants an increase in atten-tion and efforts toward preventing and treating this virulent *** involvement is one of the most feared sequelae and has a poor *** the introduction of several novel antifungal agents over the past quarter century,complications and mortality rates due to Candida endocarditis have remained *** fungal endocarditis has a mechanism similar to bacterial endocar-ditis,no specific diagnostic criteria or algorithm exists to help guide its ***,recent data has questioned the current guidelines recommen-ding a combined approach of antifungal agents with surgical valve or indwelling prostheses *** the emergence of multidrug-resistant Candida auris,a focus on improved prophylactic measures and management strategies is nece-ssary.

关键词： Candida Candida endocarditis Fungal endocarditis Invasive fungal infection