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Optimized Deep Learning Approach for Efficient Diabetic Retinopathy Classification Combining VGG16-CNN

Computers, materials & Continua 2023年第11期77卷 1855-1872页

作者： Heba m.el-Hoseny Heba F.elsepae Wael A.mohamed Ayman S.Selmy Department of Computer Science the Higher Future Institute for Specialized Technological StudiesObour11828Egypt Department of electrical Engineering Benha Faculty of EngineeringBenha UniversityBenha13511Egypt

Diabetic retinopathy is a critical eye condition that,if not treated,can lead to vision *** methods of diagnosing and treating the disease are time-consuming and ***,machine learning and deep transfer learning(DTL)techniques have shown promise in medical applications,including detecting,classifying,and segmenting diabetic *** advanced techniques offer higher accuracy and *** Diagnosis(CAD)is crucial in speeding up classification and providing accurate disease ***,these technological advancements hold great potential for improving the management of diabetic *** study’s objective was to differentiate between different classes of diabetes and verify the model’s capability to distinguish between these *** robustness of the model was evaluated using other metrics such as accuracy(ACC),precision(PRE),recall(REC),and area under the curve(AUC).In this particular study,the researchers utilized data cleansing techniques,transfer learning(TL),and convolutional neural network(CNN)methods to effectively identify and categorize the various diseases associated with diabetic retinopathy(DR).They employed the VGG-16CNN model,incorporating intelligent parameters that enhanced its *** outcomes surpassed the results obtained by the auto enhancement(AE)filter,which had an ACC of over 98%.The manuscript provides visual aids such as graphs,tables,and techniques and frameworks to enhance *** study highlights the significance of optimized deep TL in improving the metrics of the classification of the four separate classes of *** manuscript emphasizes the importance of using the VGG16CNN classification technique in this context.

关键词： No diabetic retinopathy(NDR) convolution layers(CNV layers) transfer learning data cleansing convolutional neural networks a visual geometry group(VGG16)

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Transfer Learning for Chest X-rays Diagnosis Using Dipper Throated Algorithm

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Computers, materials & Continua 2022年第11期73卷 2371-2387页

作者： Hussah Nasser AlEisa el-Sayed m.el-kenawy Amel Ali Alhussan mohamed Saber Abdelaziz A.Abdelhamid Doaa Sami Khafaga 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 electronics and Communications Engineering Department Faculty of EngineeringDelta University for Science and TechnologyMansoura35712Egypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia

most children and elderly people worldwide die from pneumonia,which is a contagious illness that causes lung *** diagnosing pneumonia from chest X-ray images,many deep learning models have been put *** goal of this research is to develop an effective and strong approach for detecting and categorizing pneumonia *** varying the deep learning approach,three pre-trained models,GoogLeNet,ResNet18,and DenseNet121,are employed in this research to extract the main features of pneumonia and normal *** addition,the binary dipper throated optimization(DTO)algorithm is utilized to select the most significant features,which are then fed to the K-nearest neighbor(KNN)classifier for getting the final classification *** guarantee the best performance of KNN,its main parameter(K)is optimized using the continuous DTO *** test the proposed approach,six evaluation metrics were employed namely,positive and negative predictive values,accuracy,specificity,sensitivity,and ***,the proposed approach is compared with other traditional approaches,and the findings confirmed the superiority of the proposed approach in terms of all the evaluation *** minimum accuracy achieved by the proposed approach is(98.5%),and the maximum accuracy is(99.8%)when different test cases are included in the evaluation experiments.

关键词： metaheuristic pneumonia dipper throated optimization KNN

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microhardness,microstructure and electrical properties of ZVm ceramics

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Journal of Advanced Ceramics 2014年第4期3卷 287-296页

作者： Abdel-mageed H.KHAFAGY Sanaa m.el-RABAIE mohamed T.DAWOUD m.T.ATTIAb Physics Department Faculty of ScienceMenufiya UniversityShebin El-Koom 32511Egypt Physics and Engineering mathematics Department Faculty of Electronic EngineeringMenufiya UniversityMenouf 32952Egypt

The effect of mn_(3)O_(4)addition on microhardness,microstructure and electrical properties of vanadium oxide doped zinc oxide varistor ceramics is systematically *** Vicker’s microhardness HV has decreased with increasing the amount of ***,the average grain size has decreased from 27.51μm to 19.55μm with increasing the amount of mn_(3)O_(4) up to 0.50 mol%,whereas an increase in mn_(3)O_(4) up to 0.75 mol%has caused the average grain size to increase and then it decreases with increasing mn_(3)O_(4)from 0.75 mol%to 1.00 mol%.The sintered density has decreased from 5.38 g/cm3 to 5.31 g/cm3 with increasing the amount of mn_(3)O_(4).The varistor ceramic modified with 0.50 mol%mn_(3)O_(4) has exhibited excellent nonlinear properties,with 16.29 for the nonlinear coefficient and 441.9μA/cm2 for the leakage current ***,the sample doped with 0.50 mol%mn_(3)O_(4) has been found to possess donor density as 0.77×10^(18) cm^(-3) and 0.916 eV barrier height.

关键词： ceramics electrical properties microstructure varistor mn3O4 doped ZnO-V2O5 varistor

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Actinidia deliciosa as a complemental therapy against nephropathy and oxidative stress in diabetic rats

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Food Science and Human Wellness 2023年第6期12卷 1981-1990页

作者： Ali Y.Naoom Wenyi Kang Nora F.Ghanem mohamed m.Abdel-Daim Fatma m.el-Demerdash Department of medical Laboratory Techniques Imam Ja'afar Al-Sadiq UniversityAl-Muthanna 66002Iraq National R&D Center for Edible Fungus Processing Technology Henan UniversityKaifeng 475004China Department of Zoology Faculty of ScienceKafr ElSheikh UniversityKafr El Sheikh 33516Egypt Department of Pharmaceutical Sciences Pharmacy ProgramBatterjee Medical CollegeJeddah 21442Saudi Arabia Pharmacology Department Faculty of Veterinary MedicineSuez Canal UniversityIsmailia 41522Egypt Department of Environmental Studies Institute of Graduate Studies and ResearchAlexandria UniversityAlexandria 21526Egypt

This study aimed to evaluate the anti-hyperglycemic and antioxidant role of Actinidia deliciosa(kiwifruits)aqueous extract in streptozotocin-treated *** were distributed into;control,*** aqueous extract(ADAE;1 g/kg orally),streptozotocin(STZ;50 mg/kg,i.p,single dose),and STZ plus ADAE,*** showed that ADAE had high antioxidant and radical scavenging *** in blood sugar level,lipid peroxidation(LPO),kidney function biomarkers,and perturbations in hematological parameters were observed in diabetic ***,enzymatic and non-enzymatic antioxidants,protein content,and alkaline phosphatase(ALP)activity ***,histological,immunohistochemical alpha-smooth muscle actin immunoreactivity(α-SmA-ir)and histochemical(collagen,total protein,DNA,and RNA)alterations were observed in rat ***,STZ produced upregulation of inflammatory associated genes(tumor necrosis factor-alpha;TNF-αand transforming growth factorβ1;TGF-β1)and triggered apoptosis by upregulating apoptotic related gene[Bcl2-associated X protein(Bax)]and downregulating anti-apoptotic related gene B-cell lymphoma-2(Bcl-2)based on real-time PCR ***,diabetic rats administered with ADAE showed significant restoration in LPO,antioxidant status,and biochemical indices besides tissue architecture,and genes improvement regarding STZ ***,*** has a valuable ameliorative infl uence and can restore glucose levels and improve kidney dysfunction in diabetic rats.

关键词： Diabetes mellitus Actinidia deliciosa Inflammation Apoptosis Oxidative stress Nephropathy

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Wind Power Prediction Based on machine Learning and Deep Learning models

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Computers, materials & Continua 2023年第1期74卷 715-732页

作者： Zahraa Tarek mahmoud Y.Shams Ahmed m.elshewey el-Sayed m.el-kenawy Abdelhameed Ibrahim Abdelaziz A.Abdelhamid mohamed A.el-dosuky Faculty of Computers and Information Computer Science DepartmentMansoura UniversityMansoura35561Egypt Faculty of Artificial Intelligence Kafrelsheikh UniversityKafrelsheikh33511Egypt Faculty of Computers and Information Computer Science DepartmentSuez UniversitySuezEgypt 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 Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Department of Computer Science Arab East CollegesRiyadh13544Saudi Arabia

Wind power is one of the sustainable ways to generate renewable *** recent years,some countries have set renewables to meet future energy needs,with the primary goal of reducing emissions and promoting sustainable growth,primarily the use of wind and solar *** achieve the prediction of wind power generation,several deep and machine learning models are constructed in this article as base *** regression models are Deep neural network(DNN),k-nearest neighbor(KNN)regressor,long short-term memory(LSTm),averaging model,random forest(RF)regressor,bagging regressor,and gradient boosting(GB)*** addition,data cleaning and data preprocessing were performed to the *** dataset used in this study includes 4 features and 50530 *** accurately predict the wind power values,we propose in this paper a new optimization technique based on stochastic fractal search and particle swarm optimization(SFSPSO)to optimize the parameters of LSTm *** evaluation criteria were utilized to estimate the efficiency of the regression models,namely,mean absolute error(mAE),Nash Sutcliffe Efficiency(NSE),mean square error(mSE),coefficient of determination(R2),root mean squared error(RmSE).The experimental results illustrated that the proposed optimization of LSTm using SFS-PSO model achieved the best results with R2 equals 99.99%in predicting the wind power values.

关键词： Prediction of wind power data preprocessing performance evaluation

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Synthesis,antimicrobial, antiquorum-sensing and cytotoxic activities of new series of benzothiazole derivatives

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Chinese Chemical Letters 2015年第12期26卷 1522-1528页

作者： moustafa T.Gabr Nadia S.el-Gohary Eman R.el-Bendary mohamed m.el-Kerdawy Nanting Ni mona I.Shaaban Department of medicinal Chemistry Faculty of Pharmacy Mansoura University Department of Chemistry Georgia State University Department of microbiology Faculty of Pharmacy Mansoura University Department of microbiology College of Pharmacy Taibah University

New series of benzothiazole derivatives were designed and synthesized. The newly synthesized compounds were screened for their antibacterial activity against Escherichia coli, Staphylococcus aureus and Bacillus cereus. Compounds 6j and 6o showed the highest activity against E. coli and S. aureus. The antifungal activity of these compounds was also tested against Candida albicans and Aspergillus fumigatus293. Compounds 4c, 4g and 6j exhibited the highest activity against C. albicans. In addition, compounds4 a and 6j displayed promising activity against A. fumigatus 293. The same compounds were examined for their antiquorum-sensing activity against Chromobacterium violaceum ATCC 12472, whereas compounds4 a, 6j and 6p showed moderate activity. The in vitro cytotoxicity testing of the synthesized compounds was performed against cervical cancer（Hela） and kidney fibroblast cancer（COS-7） cell lines. Results indicated that all tested compounds have IC50 values 〉50 mmol/L against both cell lines. molecular properties, toxicities, drug-likeness, and drug score profiles of compounds 4a–c, 5a, 6g,h, 6j, 6l, 6o and7 c,d were also assessed.

关键词： antibacterial moiety antifungal antimicrobial cytotoxic screened moderate substituent Candida albicans

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Dipper Throated Algorithm for Feature Selection and Classification in electrocardiogram

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Computer Systems Science & Engineering 2023年第5期45卷 1469-1482页

作者： Doaa Sami Khafaga Amel Ali Alhussan Abdelaziz A.Abdelhamid Abdelhameed Ibrahim mohamed Saber el-Sayed m.el-kenawy Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science Faculty of Computer and Information SciencesAin Shams University11566CairoEgypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt electronics and Communications Engineering Department Faculty of EngineeringDelta University for Science and TechnologyMansouraEgypt Department of Communications and electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt

Arrhythmia has been classified using a variety of *** of the dynamic nature of electrocardiogram(ECG)data,traditional handcrafted approaches are difficult to execute,making the machine learning(mL)solutions more *** with cardiac arrhythmias can benefit from competent monitoring to save their *** arrhythmia classification and prediction have greatly improved in recent *** are a category of conditions in which the heart's electrical activity is abnormally rapid or *** year,it is one of the main reasons of mortality for both men and women,*** the classification of arrhythmias,this work proposes a novel technique based on optimized feature selection and optimized K-nearest neighbors(KNN)*** proposed method makes advantage of the UCI repository,which has a 279-attribute high-dimensional cardiac arrhythmia *** proposed approach is based on dividing cardiac arrhythmia patients into 16 groups based on the electrocardiography dataset’s *** purpose is to design an efficient intelligent system employing the dipper throated optimization method to categorize cardiac arrhythmia *** method of comprehensive arrhythmia classification outperforms earlier methods presented in the *** achieved classification accuracy using the proposed approach is 99.8%.

关键词： Feature selection electrocardiogram metaheuristics dipper throated algorithm

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The Impact of Inoculum Preparation media on Pollutant Removal through Phycoremediation of Agricultural Drainage Water by Desmodesmus sp.

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Phyton-International Journal of Experimental Botany 2023年第10期92卷 2875-2890页

作者： Asmaa Salah Hoda Sany Abo el-Khair B.el-Sayed Reham m.el-Bahbohy Heba I.mohamed Ayman Amin Plant Physiology Division Department of Agricultural BotanyFaculty of AgricultureCairo UniversityGizaP.O.Box 12613Egypt Algal Biotechnology Unit National Research CentreDokkiGiza12622Egypt Biological and Geological Science Department Faculty of EducationAin Shams UniversityCairo11341Egypt

Water is the most essential natural resource for the future *** production is extensively water-dependent and a significant polluter of water ***,this work investigated the effect of two different preparation media[Bold’s Basal medium(BBm)and Domiati cheese whey(DCW)]for agricultural drainage water(ADW)*** treatments were incubated for 6 *** to the results of biomass productivity,specific growth rate,photosynthetic pigments,and biochemical composition,Desmodesmus *** grow in drainage water without *** two treatments significantly reduced the concentration of nitrate,phosphate,chemical oxygen demand,and sodium in ***,using cheese whey with BBm as inoculum preparation media enhanced the lipid accumulation in the algal biomass(25.4%w/w)and gave the best biodiesel properties among ***,combining remediation of drainage water with microalgae mass production can achieve the sustainability of agriculture.

关键词： Desmodesmus sp. drainage water nutrients recycle photosynthetic pigments phycoremediation water scarcity

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Enhancing Parkinson’s Disease Diagnosis Accuracy Through Speech Signal Algorithm modeling

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Computers, materials & Continua 2022年第2期70卷 2953-2969页

作者： Omar m.el-Habbak Abdelrahman m.Abdelalim Nour H.mohamed Habiba m.Abd-elaty mostafa A.Hammouda Yasmeen Y.mohamed mohanad A.Taifor Ali W.mohamed School of Information Technology and Computer Science Nile UniversityGiza12677Egypt Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Wireless Intelligent Networks Center(WINC) School of Engineering and Applied SciencesNile UniversityGiza12677Egypt

Parkinson’s disease(PD),one of whose symptoms is dysphonia,is a prevalent neurodegenerative *** use of outdated diagnosis techniques,which yield inaccurate and unreliable results,continues to represent an obstacle in early-stage detection and diagnosis for clinical professionals in the medical *** solve this issue,the study proposes using machine learning and deep learning models to analyze processed speech signals of patients’voice *** of these processed speech signals were obtained and experimented on by random forest and logistic regression *** were highly successful,with 90%accuracy produced by the random forest classifier and 81.5%by the logistic regression ***,a deep neural network was implemented to investigate if such variation in method could add to the *** proved to be effective,as the neural network yielded an accuracy of nearly 92%.Such results suggest that it is possible to accurately diagnose early-stage PD through merely testing patients’*** research calls for a revolutionary diagnostic approach in decision support systems,and is the first step in a market-wide implementation of healthcare software dedicated to the aid of clinicians in early diagnosis of PD.

关键词： Early diagnosis logistic regression neural network Parkinson’s disease random forest speech signal processing algorithms

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Exploitation of the antibacterial,antibiofilm and antioxidant activities of Salvadora Persica(miswak)extract

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Journal of Bioresources and Bioproducts 2023年第1期8卷 59-65页

作者： Gamal m.el-Sherbiny Ahmed mohamed Gazelly mohammed H.Sharaf Saad A.moghannemm Shehata m.E mahmoud K.A.Ismail Ahmad S.el-Hawary Botany and microbiology Department Faculty of Science(Boys)Al-Azhar UniversityCairo 11884Egypt

The Salvadora persica(***)*** stick,usually known as miswak,is still being em-ployed as an oral hygiene agent for plaque and gingivitis *** study aims to assess the antibacterial,antibiofilm,antioxidant,and phytochemical profile of *** *** ***-sica was purchased from a local market,grinded and extracted with petroleum *** disk dif-fusion,microdilution,and micro-plate assays were performed to evaluate the antibacterial and an-tibiofilm activities of the prepared extract at different concentrations against𝛽-lactam resistance Streptococcus *** radical scavenging 2,2-diphenyl-1-picrylhydrazyl(DPPH)and stable radical cationic chromophore,2,2-azinobis-(3-ethylbenzothiazoline-6-sulfonate)(ABTS)methods were used to determine their antioxidant *** and spectrometric analyses were performed using gas chromatography-mass(GC-mS)*** minimum inhibitory concentration(mIC)of *** extract against𝛽-lactam resistance Streptococcus species ranged from 6.25 to 12.5 mg/*** maximum suppression of biofilm formation by *** extract was observed at mIC with a percentage of 68.66%,against Streptococcus *** *** ex-tract exhibited antioxidant activity with IC 50 of 20μg/mL and 35μg/mL from DPPH and ABTS,*** phytochemical characterization showed the presence of 22 compounds with ma-jor compounds;benzyl isothiocyanate(36.21%)and n-hexadecanoic acid(27.62%).The *** extract exhibited antibacterial activity against𝛽-lactam resistant Streptococcus species,showing a promising natural alternative that could be a treatment option.

关键词： β-lactam resistance Streptococcus species S.persica extract Antibacterial Antibiofilm Antioxidant GC-mS analysis

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