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An Enhanced Lung Cancer Detection Approach Using Dual-Model Deep Learning Technique

Computer Modeling in Engineering & Sciences 2025年第1期142卷 835-867页

作者： Sumaia mohamed elhassan Saad mohamed Darwish Saleh Mesbah elkaffas Department of Information Technology Institute of Graduate Studies and ResearchAlexandria UniversityAlexandria21526Egypt College of Computing and Information Technology Arab Academy for ScienceTechnology and Maritime TransportAlexandriaP.O.Box 1029Egypt

Lung cancer continues to be a leading cause of cancer-related deaths worldwide,emphasizing the critical need for improved diagnostic *** detection of lung tumors significantly increases the chances of successful treatment and ***,current diagnostic methods often fail to detect tumors at an early stage or to accura.ely pinpoint their location within the lung ***-model deep learning technologies for lung cancer detection,while beneficial,cannot capture the full range of features present in medical imaging data,leading to incomplete or inaccurate ***,it may not be robust enough to handle the wide variability in medical images due to different imaging conditions,patient anatomy,and tumor *** overcome these disadvantages,dual-model or multi-model approaches can be *** research focuses on enhancing the detection of lung cancer by utilizing a combination of two learning models:a Convolutional Neural Network(CNN)for categorization and the You Only Look Once(YOLOv8)architecture for real-time identification and pinpointing of *** automatically learn to extract hierarchical features from raw image data,capturing patterns such as edges,textures,and complex structures that are crucial for identifying lung ***8 incorporates multiscale feature extraction,enabling the detection of tumors of varying sizes and scales within a single *** is particularly beneficial for identifying small or irregularly shaped tumors that may be challenging to ***,through the utilization of cutting-edge data augmentation methods,such as Deep Convolutional Generative Adversarial Networks(DCGAN),the suggested approach can handle the issue of limited data and boost the models’ability to learn from diverse and comprehensive *** combined method not only improved accuracy and localization but also ensured efficient real-time processing,which is crucial for practical clinical applicati

关键词： Lung cancer detection dual-model deep learning technique data augmentation CNN YOLOv8

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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 *** accura.ely 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,na.ely,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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Water quality soft-sensor prediction in anaerobic process using deep neural network optimized by Tree-structured Parzen Estimator

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Frontiers of Environmental Science & Engineering 2023年第6期17卷 23-35页

作者： Junlang Li Zhenguo Chen Xiaoyong Li Xiaohui Yi Yingzhong Zhao Xinzhong He Zehua Huang mohamed A.Hassaan Ahmed el nemr Mingzhi Huang SCNU Environmental Research Institute Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety&MOE Key Laboratory of Theoretical Chemistry of EnvironmentSchool of EnvironmentSouth China Normal UniversityGuangzhou 510006China Fujian Environmental Protection Design Institute Co.Ltd Fuzhou 350000China National Institute of Oceanography and Fisheries NIOFAlexandria 21556Egypt SCNU Qingyuan Institute of Science and Technology Innovation Co. Ltd.Qingyuan 511517China

Anaerobic process is regarded as a green and sustainable process due to low carbon emission and minimal energy consumption in wastewater treatment plants(WWTPs).However,some water quality metrics are not measurable in real time,thus influencing the judgment of the operators and may increase energy consumption and carbon *** of the solutions is using a soft-sensor prediction *** article introduces a water quality soft-sensor prediction method based on Bidirectional Gated Recurrent Unit(BiGRU)combined with Gaussian Progress Regression(GPR)optimized by Tree-structured Parzen Estimator(TPE).TPE automatically optimizes the hyperparameters of BiGRU,and BiGRU is trained to obtain the point prediction with GPR for the interval ***,a case study applying this prediction method for an actual anaerobic process(2500 m^(3)/d)is carried *** show that TPE effectively optimizes the hyperparameters of *** point prediction of CODeff and biogas yield,R^(2)values of BiGRU,which are 0.973 and 0.939,respectively,are increased by 1.03%–7.61%and 1.28%–10.33%,compared with those of other models,and the valid prediction interval can be ***,the proposed model is assessed as a reliable model for anaerobic process through the probability prediction and reliable *** is expected to provide high accuracy and reliable water quality prediction to offer basis for operators in WWTPs to control the reactor and minimize carbon emission and energy consumption.

关键词： Water quality prediction Soft-sensor Anaerobic process Tree-structured Parzen Estimator

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On the cratonization of the Arabian-Nubian Shield: Constraints from gneissic granitoids in south Eastern Desert, Egypt

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Geoscience Frontiers 2021年第4期12卷 215-243页

作者： Ali A.Khudeir Jean-Louis Paquette Kirsten Nicholson Åke Johansson Tyrone O.Rooney Sadiq Hamid mohamed a.el-Fadly Loretta Corcoran Shawn J.Malone mohamed Ali Abu el-Rus Geology Department Faculty of ScienceAssiut University71516Egypt UniversitéClermont Auvergne CNRSIRDOPGCLaboratoire Magmas et VolcansF-63000 Clermont-FerrandFrance Ball-State University Department of EnvironmentGeology and Natural Resources117 Fine Art BuildingMuncieIN 47306USA Department of Geosciences Swedish Museum of Natural HistoryBox 50007SE-10405 StockholmSweden Department of Earth and Environmental Sciences Michigan-State UniversityEast LansingMI 48824USA Notre Dame University Department of Civil and Environmental Engineering and Earth Sciences156 Fitzpatrick HallNotre DameIN 46556USA

The Shaitian granite complex(SGC)spans more than 80 Ma of crustal growth in the Arabian–Nubian Shield in southeast *** is a voluminous composite intrusion(60 km2)comprising a host tonalite massif intruded by subordinate dyke-like masses of trondhjemite,granodiorite and *** host tonalite,in turn,encloses several,fine-grained amphibolite enclaves.U-Pb zircon dating indicates a wide range of crystallization ages within the SGC(800±18Ma for tonalites;754±3.9 Ma for trondhjemite;738±3.8 Ma for granodiorite;and 717±3.2 Ma for monzogranite),suggesting crystallization of independent magma *** high positiveεNdi(+6–+8)indicate that the melting sources were dominated by juvenile material without any significant input from older *** of zircon saturation geothermometry indicates increasing temperatures during the generation of melts from 745±31℃ for tonalite to 810±25℃ for trondhjemite;840±10℃ for granodiorite;and 868±10℃ for *** pressure of partial melting is loosely constrained to be below the stability of residual garnet(3 kbar for the stability of residual amphibole as inferred from the significantly lower NbN and TaN compared with LREEN and the sub-chondrite Nb/Ta ratios exhibited by the granitic *** inverse relation between the generation temperatures and the ages estimates of the granitoid lithologies argue against a significant role of fractional *** major and trace element contents indicate the emplacement of the SGC within a subduction zone *** lacks distinctive features for melt derived from a subducted slab(*** Sr/Y and high(La/Yb)N ratios),and the relatively low MgO and Ni contents in all granite phases within the SGC suggest melting within the lower crust of an island arc overlying a *** melts produced during melting experiments indicates an amphibolite of basaltic composition is th

关键词： Arabian-Nubian Shield(ANS) Cratonization Fractional crystallization Partial melting Subduction zones Tonalite-Trondhjemite-granodiorite(TTG)

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Production,characterization and biological activities of acidic exopolysaccharide from marine Bacillus amyloliquefaciens 3MS 2017

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Asian Pacific Journal of Tropical Medicine 2017年第7期10卷 715-725页

作者： Samah a.el-Newary Abeer Y.Ibrahim Mohsen S.Asker Manal G.Mahmoud mohamed E.el Awady Department of Medicinal and Aromatic Plants Research National Research CentreDokkiCairoEgypt Microbial Biotechnology Department National Research CentreDokkiCairoEgypt

Objective: To evaluate in-vitro antioxidant, anti-inflammatory and antitumor abilities against human breast adenocarcinoma(MCF7) and human prostate cancer(PC3) as well as the suppressor effect of bacterial exopolysaccharide(BAEPS) on Ehrlich ascites carcinoma(EAC). Methods: In-vitro antioxidants characters of BAEPS were determined using various methods, while anti-inflammatory activity was estimated against cyclooxygenase(COX-1 and COX-2). In-vitro study, anticancer against MCF7 and PC3 were assessed by the mitochondrial dependent reduction of yellow MTT. In in-vivo study against EAC progression, mice were inoculated with EAC cells and then were orally administered BAEPS at 200 mg/kg after 24 h(equals to 0.10 of determined LD50)/10 d. Results: BAEPS was acidic exopolysaccharide contained uronic acid(12.3%) and sulfate(22.8%) with constitution of glucose, galactose and glucuronic acid in a molar ratio1.6: 1.0: 0.9, respectively, with a molecular mass of 3.76伊104 g/mol. BAEPS appeared potent antioxidant characters as free radical scavenging, oxygen reactive species scavenging and metal chelation, while its reducing power was low. BAEPS showed selective anti-inflammatory activity against COX-2 than COX-1, COX-2 selective. BAEPS exhibited potent and selective effect to breast cell cancer MCF7, the death percentage was 65.20% with IC_(50)=70 μg/m L and IC_(90)=127.40 μg/m L. BAEPS decreased counted viable EAC cells and induced non-viable cells. BAEPS improved all assessed hematological parameters. These improvements were reflected in the increasing median survival time and significant increment(P<0.05) in life span. Conclusions: BAEPS has anti-tumor activity with a good margin of safety. The anti-tumor activity of BAEPS may be due to its content from sulfated groups and uronic acids and they have antioxidant and anti-inflammatory properties.

关键词： Antioxidant Anti-inflammatory Anti-tumor Ehrlich ascites carcinoma Exopolysaccharide Bacillus amyloliquefaciens

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Medicinal and biological values of Callistemon viminalis extracts:History,current situation and prospects

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Asian Pacific Journal of Tropical Medicine 2017年第3期10卷 219-226页

作者： mohamed Z.M.Salem Mervat el-Hefny Ramadan A.Nasser Hayssam M.Ali Nader a.el-Shanhorey Hosam O.elansary Forestry and Wood Technology Department Faculty of Agriculture(El-Shatby)Alexandria UniversityAlexandriaEgypt Department of Floriculture Ornamental Horticulture and Garden DesignFaculty of Agriculture(EL-Shatby)Alexandria UniversityAlexandriaEgypt Department of Botanical Gardens Research Horticultural Research Institute(ARC)AlexandriaEgypt King Saud University College of ScienceDepartment of Botany and MicrobiologyPO Box 2455Riyadh 11451Saudi Arabia Agriculture Research Center Horticulture Research InstituteSabahia Horticulture Research StationDepartment of Timber Trees ResearchAlexandriaEgypt

Callistemon viminalis(***)is a plant that has been reported to have a various medicinal values such as antibacterial,antifungal,antioxidant activities and other pharmaceutical and insecticidal *** review covers the potentials,applications and properties of different extracts from different parts(branches,flowers,fruits,bark,leaves)of ***,the chemical structures of the bioactive compounds were reported for biological *** the results supported the traditional uses of *** in folk *** addition,some researches supported the use of *** extracts for the preparation of metal oxide nanoparticles.

关键词： Callistemon viminalis Antibacterial activity Antioxidant activity Antifungal activity Essential oils Biological activities

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Effect of Molybdate Ions on the Corrosion Behaviour of Ti Alloys

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Journal of Materials Science & Technology 2000年第1期16卷 45-49页

作者： Magda.M.A.Gad, Kamal.E.mohamed and Abdelwahab a.el-Sayed (Metallurgy Dept., Materials Division, Atomic Energy Authority, Cairo, Egypt) Metallurgy Dept. Materials Division Atomic Energy Authority Cairo Egypt

Titanium alloys are extensively used in power, chemical and petroleum industries as constructional materials for vessels and heat transfer tubes. Moreover they are candidate materials for nuclear waste disposal. These alloys have superior resistance to localized forms of corrosion compared to stainless steels and Ni-base alloys. However, this resistance is not as remarkable in crevice corrosion conditions in some aggressive media. electrochemical corrosion tests were conducted on two ASTM Ti grades na.ely, Ti-2 and Ti-12 in extremely low pH acidic environment. Results indicated that Ti-2 has less resistance to both general and crevice corrosion attack than Ti-12. Both alloys possess better resistance to general corrosion than to crevice corrosion. Also, results showed that the molybdate addition improves remarkably the resistance of Ti-2 to both types of attack. The increase of molybdate ions concentration from 0.03 mol/L to 0.15 mol/L made Ti-2 to be as resistant as, or somewhat higher than, Ti-12. The elecrochemical findings were further supplemented by optical examination of the corroded surface.

关键词： Ti Mo Effect of Molybdate Ions on the Corrosion Behaviour of Ti Alloys

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Hepatoprotective activity of Dypsis lutescens against D-galactosamine-induced hepatotoxicity in rats and its phytoconstituents

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Asian Pacific Journal of Tropical Biomedicine 2019年第11期9卷 467-473页

作者： Mai M.el-Ghonemy Walaa a.el-Kashak Tahia K.mohamed Enayat A.Omara Jihan Hussein Abdel-Razik H.Farrag Mahmoud I.Nassar mohamed Y.el-Kady Chemistry of Natural Compounds Department National Research Centre33 El-Bohouth St.Dokki12622CairoEgypt Department of Pathology National Research Centre33 El Bohouth St.Dokki12622CairoEgypt Medical Biochemistry Department National Research Centre33 El Bohouth St.Dokki12622CairoEgypt Chemistry Department Faculty of ScienceAin Shams UniversityCairoEgypt

Objective:To isolate and identify the polyphenolic constituents of Dypsis lutescens,and evaluate the hepatoprotective activity of the ethanolic extract of Dypsis lutescens ***:Hepatoprotective,antioxidant and anti-inflammatory effects of two doses of Dypsis lutescens ethanolic leaf extract were investigated in five groups of six rats each administered with the ethanolic extract of Dypsis lutescens *** function parameters were assessed,histopathological study was carried out,the anti-inflammatory mediators and the antioxidant potential in the liver tissues were *** addition,the total ethanolic extract of Dypsis lutescens leaves was subjected to different chromatographic separation techniques to yield ten phenolic *** isolated compounds structures were spectroscopically ***:Hepatoprotective activity of Dypsis lutescens ethanolic extract was estimated for the first time and showed significant activity against histopathological changes induced by D-galactosamine in *** extract improved the liver *** to the D-galactosamine group,the architecture of the liver in the treated groups was improved in the histopathological *** results proved the hepatoprotective activity of Dypsis lutescens and its ability in attenuating liver oxidative damage and *** investigations of the total extract afforded ten compounds from the genus ***:The alcoholic extract of Dypsis lutescens exerted potential hepatoprotective action,maintaining liver health and functions.

关键词： Dypsis lutescens Flavonoid glycosides Phenolic acids Hepatoprotective Antioxidant Anti-inflammatory

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A Lightweight Approach for Skin Lesion Detection Through Optimal Features Fusion

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Computers, Materials & Continua 2022年第1期70卷 1617-1630页

作者： Khadija Manzoor Fiaz Majeed Ansar Siddique Talha Meraj Hafiz Tayyab Rauf Mohammed a.el-Meligy mohamed Sharaf Abd elatty E.Abd elgawad Department of Information Technology University of GujratGujrat50700Pakistan Department of Software Engineering University of GujratGujrat50700Pakistan Department of Computer Science COMSATS University Islamabad-Wah CampusWah Cantt47040Pakistan Centre for Smart Systems AI and CybersecurityStaffordshire UniversityStoke-on-TrentUK Advanced Manufacturing Institute King Saud UniversityRiyadh11421Saudi Arabia Department of Industrial Engineering College of EngineeringKing Saud UniversityRiyadh11421Saudi Arabia

Skin diseases effectively influence all parts of *** and accurate detection of skin cancer is necessary to avoid significant *** manual detection of skin diseases by dermatologists leads to misclassification due to the same intensity and color ***,an automated system to identify these skin diseases is *** studies on skin disease classification using different techniques have been ***,previous techniques failed to identify multi-class skin disease images due to their similar *** the proposed study,a computer-aided framework for automatic skin disease detection is *** the proposed research,we collected and normalized the datasets from two databases(ISIC archive,Mendeley)based on six Basal Cell Carcinoma(BCC),Actinic Keratosis(AK),Seborrheic Keratosis(SK),Nevus(N),Squamous Cell Carcinoma(SCC),and Melanoma(M)common skin ***,segmentation is performed using deep Convolutional Neural Networks(CNN).Furthermore,three types of features are extracted from segmented skin lesions:ABCD rule,GLCM,and in-depth *** transfer learning is used for deep feature extraction,while a support vector machine(SVM)is used for *** results show that SVM outperformed other studies in terms of accuracy,as AK disease achieved 100%accuracy,BCC 92.7%,M 95.1%,N 97.8%,SK 93.1%,SCC 91.4%with a global accuracy of 95.4%.

关键词： AlexNet CNN GLCM SVMs skin disease

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Laterites-bearing REEs,Wadi Natash,Southeastern Desert,Egypt

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Journal of Rare Earths 2010年第3期28卷 471-476页

作者： mohamed el-Ahmady Ibrahim Nuclear Materials Authority P.O.Box530EL MaadiCairoEgypt

The present paper recorded the occurrence of laterites-bearing REEs in Natash *** laterite deposits occur as horizons(5-15 m in thickness) at the boundary between the Cretaceous sandstones,and Natash *** was recorded in more than twenty six occurrence distributed over an area of about 500 km2 along and around Wadi *** ranges in color from light-grey,dark-grey to *** distribution of laterite deposits is structural *** results of laterites proved the...

关键词： Natash flows laterites clay minerals REEs

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