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Residual Attention Deep SVDD for COVID-19 Diagnosis Using CT Scans

Computers, Materials & Continua 2023年第2期74卷 3333-3350页

作者： Akram ali Alhadad Omar Tarawneh Reham R.Mostafa Hazem M.el-Bakry Information Systems Department Faculty of Computers and InformationMansoura UniversityMansoura35511Egypt Computer Science Department Ibb UniversityIbbYemen SE Department Faculty of Computer Sciences and InformaticsAmman Arab UniversityAmman11953Jordan

COVID-19 is the common name of the disease caused by the novel coronavirus(2019-nCoV)that appeared in Wuhan,China in *** the infected people is the most important factor in the fight against the *** gold-standard test to diagnose COVID-19 is polymerase chain reaction(PCR),but it takes 5–6 h and,in the early stages of infection,may produce false-negative *** Computed Tomography(CT)images to diagnose patients infected with COVID-19 has become an urgent *** this study,we propose a residual attention deep support vector data description SVDD(RADSVDD)approach to diagnose *** is a novel approach combining residual attention with deep support vector data description(DSVDD)to classify the CT *** the best of our knowledge,we are the first to combine residual attention with DSVDD in general,and specifically in the diagnosis of *** attention with DSVDD naively may cause model *** in the proposed RADSVDD guides the network during training and enables quick learning,residual connectivity prevents vanishing *** approach consists of three models,each model is devoted to recognizing one certain disease and classifying other diseases as *** models learn in an end-to-end *** proposed approach attained high performance in classifying CT images into intact,COVID-19,and non-COVID-19 *** evaluate the proposed approach,we created a dataset from published datasets and had it assessed by an experienced *** proposed approach achieved high performance,with the normal model attained sensitivity(0.96–0.98),specificity(0.97–0.99),F1-score(0.97–0.98),and area under the receiver operator curve(AUC)0.99;the COVID-19 model attained sensitivity(0.97–0.98),specificity(0.97–0.99),F1-score(0.97–0.99),and AUC 0.99;and the non-COVID pneumoniamodel attained sensitivity(0.97–1),specificity(0.98–0.99),F1-score(0.97–0.99),and AUC 0.99.

关键词： Deep learning deep SVDD residual attention anomaly detection COVID-19 Coronavirus

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A Multi-Level Threshold Method for Edge Detection and Segmentation Based on Entropy

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Computers, Materials & Continua 2020年第4期63卷 1-16页

作者： Mohamed A.el-Sayed Abdelmgeid A.ali Mohamed E.Hussien Hameda A.Sennary Department of Mathematics Faculty of ScienceFayoum UniversityFayoumEgypt.CurrentlyComputer Science DepartmentTaif UniversityTaifSaudi Arabia Computer Science Department Faculty of Computers and Information Minia UniversityMiniaEgypt Department of Mathematics Faculty of ScienceAswan UniversityAswanEgypt

The essential tool in image processing,computer vision and machine vision is edge detection,especially in the fields of feature extraction and feature *** is a basic area in information *** entropy,in image processing field has a role associated with image *** an initial step in image processing,the entropy is always used the image’s segmentation to determine the regions of image which is used to separate the background and objects in *** segmentation known as the process which divides the image into multiple regions or sets of *** applications have been development to enhance the image *** paper utilizes the Shannon entropy to achieve edge detection process and segmentation of the *** introduces a new method of edge detection for 2-D histogram and Shannon entropy based on multilevel *** method utilizes the gray value and the average gray value of the pixels to achieve the two dimensional *** current method has apriority in comparison to some upper classical *** experimental results exhibited that the proposed method could capture a moderate quality and execution time better than other comparative methods,particularly in the largest images *** proposed method offers good results when applied with images of different sizes from the civilization of ancient Egyptians.

关键词： Multi-level threshold edge detection 2D histogram entropy

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A New Intelligent Approach for Deaf/Dumb People based on Deep Learning

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Computers, Materials & Continua 2022年第9期72卷 6045-6060页

作者： Haitham elwahsh Ahmed elkhouly Emad Abouel Nasr ali K.Kamrani Engy el-shafeiy Computer Science Department Faculty of Computers and InformationKafrelsheikh UniversityKafrelsheikhEgypt Industrial Engineering Department College of EngineeringKing Saud UniversityRiyadh 11421Saudi Arabia Industrial Engineering Department College of EngineeringUniversity of HoustonHoustonTX 77204-4008USA Department of Computer Science Faculty of Computers and Artificial IntelligenceUniversity of Sadat CitySadat CityEgypt

People who are deaf or have difficulty speaking use sign language,which consists of hand gestures with particular motions that symbolize the“language”they are communicating.A gesture in a sign language is a particular movement of the hands with a specific shape from the fingers and whole *** this paper,we present an Intelligent for Deaf/Dumb People approach in real time based on Deep Learning using Gloves(IDLG).The approach IDLG offers scientific contributions based deep-learning,a multimode command techniques,real-time,and effective use,and high accuracy *** this purpose,smart gloves working in real time were *** data obtained from the gloves was processed using deep-learning-based approaches and classified multi-mode commands that allow dumb people to speak with regular people via their smart ***,the glove has five flex sensors and an accelerometer using to achieve Low-Cost Control *** flex sensor generates a proportional change in resistance for each individual *** processing of these hand gestures is in Atmega32A Microcontroller which is an advance version of the microcontroller and the lab view *** compares the input signal to memory-stored specified voltage *** performance of the IDLG approach was verified on a dataset created using different hand gestures from 20 different *** the test using the IDLG approach on 10,000 data points,process time performance of milliseconds was achieved with 97%accuracy.

关键词： Deep learning flex sensor labview Atmega32A low-cost control system accelerometer intelligent glove

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Modeling CO_(2) Emission of Middle Eastern Countries Using Intelligent Methods

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Computers, Materials & Continua 2021年第12期69卷 3767-3781页

作者： Mamdouh el Haj Assad Ibrahim Mahariq Zaher Al Barakeh Mahmoud Khasawneh Mohammad ali Amooie Sustainable and Renewable Energy Engineering Department University of SharjahPO Box 27272SharjahUAE College of Engineering and Technology American University of the Middle EastKuwait Department of Mechanical and Industrial Engineering Louisiana State UniversityUSA

CO_(2) emission is considerably dependent on energy consumption and on share of energy sources as well as on the extent of economic ***,these factors must be considered for CO_(2) emission prediction for seven middle eastern countries including Iran,Kuwait,United Arab Emirates,Turkey,Saudi Arabia,Iraq and *** order to propose a predictive model,a Multilayer Perceptron Artificial Neural Network(MLP ANN)is *** transfer functions including logsig,tansig and radial basis functions are utilized in the hidden layer of the ***,various numbers of neurons are applied in the structure of the *** is revealed that using MLP ANN makes it possible to accurately predict CO_(2) emission of these *** addition,it is concluded that using logsig transfer function leads to the highest accuracy with minimum value of mean squared error(MSE)which is followed by the networks with radial basis and tansig transfer *** R-squared of the networks with logsig,radial basis and tansig transfer functions are 0.9998,0.9997 and 0.9996,***,comparison of the proposed model with a similar study,considered five countries in the same region,reveals higher accuracy in term of MSE.

关键词： CO_(2)emission artificial neural network middle eastern countries transfer function

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Mineralogy and radioactivity of pegmatites from South Wadi Khuda area,Eastern Desert,Egypt

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Chinese Journal Of Geochemistry 2010年第4期29卷 343-354页

作者： Mohamed F.Raslan Mohamed A.ali Mohamed G.el-Feky Nuclear Materials Authority P.O.Box 530El MaadiCairoEgypt

Radioactive minerals in pegmatites associated with granitic rocks are commonly encountered in the south of the Wadi Khuda area and found as dyke-like and small *** are observed within garnet-muscovite granites near the contact with older *** surveys indicated that the studied pegmatites vary in dimensions ranging from 2 to 10 m in width and from 10 to 500 m in *** are composed mainly of intergrowth of milky quartz,reddish-pink K-feldspar and plagioclase together with small pockets of *** radiometric measurements indicated that radioactivity in pegmatites is more than twice that of their enclosing country *** measurements revealed that the average contents of U and Th increase gradually from rocks of dioritic to granodioritic composition(1.5×10-6 U and 4.3×10-6 Th) and increase significantly in biotite granites(5.8×10-6 U and 15.2×10-6 Th) but drastically decrease in muscovite granites(2.2×10-6 U and 5.6×10-6 Th).The average contents of U and Th of anomalous pegmatites are 95.3×10-6 and 116.9×10-6,respectively,indicating their uraniferous *** the south of the Wadi Khuda area,pegmatites are low in average Th/U(1.4) and high in average U/K(35.6),which suggests that uranium concentrating processes did not affect the pegmatites,indicating poor *** investigations of the studied pegmatites revealed the presence of secondary uranium minerals(kasolite and autunite),in addition to zircon,thorite,apatite,garnet and *** and secondary radioactive mineralizations indicated that the mineralization is not only magmatic,but also *** microprobe analyses showed distinct cryptic chemical zoning within thorite where UO2 decreases from core to *** feature in thorite is sporadic,suggesting non-uniform redistributions of UO2 within thorite during magmatic processes.

关键词：放射性核素伟晶岩矿物学黑云母花岗岩平均含量沙漠埃及电子探针分析

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Evaluation of extracts and essential oil from Callistemon viminalis leaves:Antibacterial and antioxidant activities,total phenolic and flavonoid contents

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Asian Pacific Journal of Tropical Medicine 2013年第10期6卷 785-791页

作者： Mohamed ZM Salem Hayssam M ali Nader A el-Shanhorey Ahmed Abdel-Megeed Forestry and Wood Technology Department Faculty of Agriculture(EL-Shatby)Alexandria University Botany and Microbiology Department College of ScienceKing Saud University Timber Trees Research Department Sabahia Horticulture Research StationHorticulture Research InstituteAgriculture Research Center Department of Botanical Gardens Research Horticultural Research Institute(ARC) Faculty of Agriculture(Saba Basha) Alexandria University

Objective:To investigate antioxidant and antibacterial activities of Callistemon viminalis(***)***:The essential oil of *** leaves obtained by hydrodistillation was analyzed by GC/*** extracts were tested for total phenolic and flavonoid contents and in vitro antioxidant(DPPH assay)and antibacterial(agar disc diffusion and 96-well micro-plates methods)***:Fourteen components were identified in the essential oil,representing 98.94%of the total *** major components were 1,8-cineole(64.53%)andα-pinene(9.69%).Leaf essential oil exhibited the highest antioxidant activity of(88.60±1.51)%comparable to gallic acid,a standard compound[(80.00±2.12)%].Additionally,the biggest zone of inhibitions against the studied bacterial strains was observed by the essential oil when compared to the standard antibiotic(tetracycline).The crude methanol extract and ethyl acetate fraction had a significant antibacterial activity against the tested bacterial ***:It can be suggested that *** is a great potential source of antibacterial and antioxidant compounds useful for new antimicrobial drugs from the natural *** present study revealed that the essential oil as well as the methanol extracts and ethyl acetate fraction of *** leaves exhibited highly significant antibacterial activity against the tested bacterial strains.

关键词： Callistemon viminalis Essential oil Antibacterial activity Antioxidant activity Phenolic content Flavonoid content

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COVID-19 and hepatic injury: cellular and molecular mechanisms in diverse liver cells

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World Journal of Gastroenterology 2023年第3期29卷 425-449页

作者： Fares E M ali Mostafa K Abd el-Aziz Mahmoud M ali Osama M Ghogar Adel G Bakr Department of Pharmacology and Toxicology Faculty of PharmacyAl-Azhar UniversityAssiut 71524Egypt Department of Pharmacology Al-Azhar UniversityAssiut 71524Egypt Department of Biochemistry Faculty of Pharmacy Badr University in AssiutEgypt

The coronavirus disease 2019(COVID-19)represents a global health and economic *** injuries have been approved to be associated with severe acute respiratory syndrome coronavirus(SARS-CoV-2)*** viral tropism pattern of SARS-CoV-2 can induce hepatic injuries either by itself or by worsening the conditions of patients with hepatic ***,other factors have been reported to play a crucial role in the pathological forms of hepatic injuries induced by SARS-CoV-2,including cytokine storm,hypoxia,endothelial cells,and even some treatments for *** the other hand,several groups of people could be at risk of hepatic COVID-19 complications,such as pregnant women and *** present review outlines and discusses the interplay between SARS-CoV-2 infection and hepatic injury,hepatic illness comorbidity,and risk ***,it is focused on the vaccination process and the role of developed vac-cines in preventing hepatic injuries due to SARS-CoV-2 infection.

关键词： COVID-19 Hepatic injury Viral tropism COVID-19 comorbidity Vaccination

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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： UVB solar radiation broadband solar radia- tion empirical model Egypt

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Improved Prediction of Metamaterial Antenna Bandwidth Using Adaptive Optimization of LSTM

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Computers, Materials & Continua 2022年第10期73卷 865-881页

作者： Doaa Sami Khafaga Amel ali Alhussan el-Sayed M.el-kenawy Abdelhameed Ibrahim Said H.Abd elkhalik Shady Y.el-Mashad Abdelaziz A.Abdelhamid Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Communications and electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of Computer Systems Engineering Faculty of Engineering at ShoubraBenha UniversityEgypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia

The design of an antenna requires a careful selection of its parameters to retain the desired ***,this task is time-consuming when the traditional approaches are employed,which represents a significant *** the other hand,machine learning presents an effective solution to this challenge through a set of regression models that can robustly assist antenna designers to find out the best set of design parameters to achieve the intended *** this paper,we propose a novel approach for accurately predicting the bandwidth of metamaterial *** proposed approach is based on employing the recently emerged guided whale optimization algorithm using adaptive particle swarm optimization to optimize the parameters of the long-short-term memory(LSTM)deep *** optimized network is used to retrieve the metamaterial bandwidth given a set of *** addition,the superiority of the proposed approach is examined in terms of a comparison with the traditional multilayer perceptron(ML),Knearest neighbors(K-NN),and the basic LSTM in terms of several evaluation criteria such as root mean square error(RMSE),mean absolute error(MAE),and mean bias error(MBE).Experimental results show that the proposed approach could achieve RMSE of(0.003018),MAE of(0.001871),and MBE of(0.000205).These values are better than those of the other competing models.

关键词： Metamaterial antenna long short term memory(LSTM) guided whale optimization algorithm(Guided WOA) adaptive dynamic particle swarm algorithm(AD-PSO)

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The implication of neurovascular unit signaling in controlling the subtle balance between injury and repair following ischemic stroke

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Neural Regeneration Research 2016年第6期11卷 914-915页

作者： Ayman el ali Neuroscience Axis CHU de Québec Research Center (CHUL) Department of Psychiatry and Neuroscience Faculty of Medicine Laval University

Neurovascular unit（NVU）：Brain microvasculature has a close structural and functional relationship with brain parenchyma,an aspect governed by the NVU（Hermann and el ali,2012）.The concept of it was introduced by t... 详细信息

关键词： subtle implication repair microglia governed signaling giving inevitably attempt astrocyte

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