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Choroidal thickness measurements in young Saudi adult population: a cross-sectional study

International Journal of Ophthalmology(English edition) 2023年第11期16卷 1814-1819页

作者： mohammed m Althomali ahmed A Alharbi Nouf m Albnayan Abdulaziz m Alkhudhair muteb K Alanazi Optometry Department College of Applied Medical SciencesKing Saud UniversityRiyadh 11362Saudi Arabia

AIm:To determine the choroidal thickness(CT)in young healthy Saudi adults using spectral-domain optical coherence tomography(SD-OCT)with an automated CT segmentation ***:Fifty-eight young adults(total of 116 eyes),39 males and 19 females participated in this study between the ages of 18 and 38y(mean 22.65±3.9y).All participants underwent ophthalmic screening examination,including the SD-OCT for measurements of CT in each quadrant egmented into five eccentric regions starting from the foveal region up to 4.5 mm towards the ***:The choroid was thickest in the foveal region(central 1 mm,300±60μm)and began to progressively thinner beyond the parafovea(1.5–2.5 mm,284±67μm)towards the peripheral region(3.5–4.5 mm from the fovea,254±83μm).The superior choroid showed the thickest profile(309±57μm),while the nasal choroid exhibited the thinnest(229±76μm).The rate of the thinning with increasing eccentricity was more predominant in the nasal choroid,which thinned from the foveal region(294±58μm)to the peripheral region(158±55μm).The superior and inferior choroid did not show a statistically significant thinning with eccentricity(all P>0.05).There was no statistically significant difference in the CT between gender,age,and laterality of the eyes(all P>0.05).A significant association of myopia with thinner subfoveal choroid was observed(Pearson’s,r=0.37),and regression analysis showed that a 10.3μm choroidal thinning for each diopter increase of ***:CT profile depends on eccentric and the *** CT profile across the measured area in the young Saudi adult population is comparable to other previous *** error is critical for CT evaluation.

关键词： choroidal thickness optical coherence tomography young adults Saudi population

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Exact Solutions and Finite Time Stability of Linear Conformable Fractional Systems with Pure Delay

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Computer modeling in Engineering & Sciences 2023年第2期134卷 927-940页

作者： ahmed m.Elshenhab Xingtao Wang Fatemah mofarreh Omar Bazighifan School of mathematics Harbin Institute of TechnologyHarbin150001China Department of mathematics Faculty of ScienceMansoura UniversityMansoura35516Egypt mathematical Science Department Faculty of SciencePrincess Nourah Bint Abdulrahman UniversityRiyadh11546Saudi Arabia Section of mathematics International Telematic University UninettunoRoma00186Italy

We study nonhomogeneous systems of linear conformable fractional differential equations with pure *** using new conformable delayed matrix functions and the method of variation,we obtain a representation of their *** an application,we derive a finite time stability result using the representation of solutions and a norm estimation of the conformable delayedmatrix *** obtained results are new,and they extend and improve some existing ***,an example is presented to illustrate the validity of our theoretical results.

关键词： Representation of solutions conformable fractional derivative conformable delayed matrix function conformable fractional delay differential equations finite time stability

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An Optimized Algorithm for Renewable Energy Forecasting Based on machine Learning

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Intelligent Automation & Soft Computing 2023年第1期35卷 755-767页

作者： Ziad m.Ali ahmed m.Galal Salem Alkhalaf Imran Khan College of Engineering at Wadi Addawaser Prince Sattam bin Abdulaziz UniversityWadi Aldawaser11991Saudi Arabia Electrical Engineering Department Aswan Faculty of EngineeringAswan UniversityAswan81542Egypt Production Engineering and mechanical Design Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of Computer College of Science and Arts in Ar RassQassim UniversityAr RassSaudi Arabia Department of Electrical Engineering University of Engineering and TechnologyPeshawar814Pakistan

The large-scale application of renewable energy power generation technology brings new challenges to the operation of traditional power grids andenergy management on the load side. microgrid can effectively solve this problemby using its regulation and flexibility, and is considered to be an ideal *** traditional method of computing total transfer capability is difficult due tothe central integration of wind farms. As a result, the differential evolutionextreme learning machine is offered as a data mining approach for extractingoperating rules for the total transfer capability of tie-lines in wind-integratedpower systems. K-medoids clustering under the two-dimensional “wind power-load consumption” feature space is used to define representative operational scenarios initially. Then, using stochastic sampling and repetitive power flow, aknowledge base for total transfer capability operating rule mining is ***, a novel method is used to filter redundant characteristics and find featuresthat are closely associated to the total transfer capability in order to decrease theultra-high dimensionality of operational features. Finally, by feeding the trainingdata into the proposed algorithm, the total transfer capability operation rules arederived from the knowledge base. It can be seen that, the proposed algorithmcan optimize the system performance with good accuracy and generality, according to numerical data.

关键词： Load forecasting distribution network machine learning renewable energy

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A Novel Fusion System Based on Iris and Ear Biometrics for E-exams

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Intelligent Automation & Soft Computing 2023年第3期35卷 3295-3315页

作者： S.A.Shaban Hosnia m.m.ahmed D.L.Elsheweikh Department of Computer Science Faculty of Specific EducationMansoura UniversityEgypt

With the rapid spread of the coronavirus epidemic all over the world,educational and other institutions are heading towards *** the era of digitization,identifying educational e-platform users using ear and iris based multi-modal biometric systems constitutes an urgent and interesting research topic to pre-serve enterprise security,particularly with wearing a face mask as a precaution against the new coronavirus *** study proposes a multimodal system based on ear and iris biometrics at the feature fusion level to identify students in electronic examinations(E-exams)during the COVID-19 *** proposed system comprises four ***ﬁrst step is image preprocessing,which includes enhancing,segmenting,and extracting the regions of *** second step is feature extraction,where the Haralick texture and shape methods are used to extract the features of ear images,whereas Tamura texture and color histogram methods are used to extract the features of iris *** third step is feature fusion,where the extracted features of the ear and iris images are combined into one sequential fused *** fourth step is the matching,which is executed using the City Block Dis-tance(CTB)for student identiﬁ***ﬁndings of the study indicate that the system’s recognition accuracy is 97%,with a 2%False Acceptance Rate(FAR),a 4%False Rejection Rate(FRR),a 94%Correct Recognition Rate(CRR),and a 96%Genuine Acceptance Rate(GAR).In addition,the proposed recognition sys-tem achieved higher accuracy than other related systems.

关键词： City block distance(CTB) Covid-19 ear biometric e-exams feature-level fusion iris biometric multimodal biometric student’s identity

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Changes in Germination and Seedling Traits of Sesame under Simulated Drought

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Phyton-International Journal of Experimental Botany 2022年第4期91卷 713-726页

作者： mukhtar ahmed ahmed m.S.Kheir muhammad Zeeshan mehmood Shakeel Ahmad mirza Hasanuzzaman Department of Agronomy PMAS-Arid Agriculture UniversityRawalpindi46300Pakistan International Center for Biosaline Agriculture Directorate of ProgramsDubai14660United Arab Emirates Soils Water and Environment Research InstituteAgricultural Research CenterCairo UniversityGiza12613Egypt Department of Agronomy Bahauddin Zakariya UniversityMultan60800Pakistan Department of Agronomy Sher-e-Bangla Agricultural UniversityDhaka1207Bangladesh

Drought is considered one of the leading abiotic constraints to agricultural crop production *** study was conducted to assess the effects of different drought treatments(***,10%PEG,and 20%PEG)on seed germination,germination indices,seedling traits,and drought tolerance indices of *** results showed that maximum reduction in the studied parameters was observed at higher PEG concentration(i.e.,20%PEG).As compared to control,the drought treatments viz.10%and 20%PEG decreased the values for germination indices,such as germination percentage,coefficient of variation of germination time,germination index,and seedling vigor ***,for seedling traits,the values were decreased for root length,shoot length,root shoot ratio,root fresh weight,shoot fresh weight,root dry weight and shoot dry weight under 10%and 20%PEG treatments significantly in comparison with ***,relative to control,the values for drought tolerance indices,such as germination drought tolerance index,root length drought tolerance index,shoot length drought tolerance index,total seedling length drought tolerance index,root fresh weight drought tolerance index,shoot fresh weight drought tolerance index,total fresh weight drought tolerance index,root dry weight drought tolerance index,shoot dry weight drought tolerance index and total dry weight drought tolerance index were also reduced under 10%and 20%PEG treatments,*** results confirms that drought impact on seed germination and seedling traits could be quantified by using different indices which can further help to design drought adaptation and mitigation *** on these results it can be concluded that germination indices,seedling traits,and drought tolerance indices have great potential to simulate drought stress impacts on different crop traits thus they should be used in all kinds of stress related studies.

关键词： Sesame drought stress PEG germination indices seedling traits drought tolerance indices

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Early-Stage Cervical Cancerous Cell Detection from Cervix Images Using YOLOv5

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Computers, materials & Continua 2023年第2期74卷 3727-3741页

作者： md Zahid Hasan Ontor md mamun Ali Kawsar ahmed Francis m.Bui Fahad ahmed Al-Zahrani S.m.Hasan mahmud Sami Azam Department of Software Engineering(SWE) Daffodil International University(DIU)SukrabadDhaka1207Bangladesh Group of Biophotomatiχ Department of Information and Communication TechnologyMawlana Bhashani Science and Technology UniversitySantoshTangail1902Bangladesh Department of Electrical and Computer Engineering University of Saskatchewan57 Campus DriveSaskatoonS7N5A9SKCanada Computer Engineering Department Umm Al-Qura UniversityMecca24381Saudi Arabia Department of Computer Science American International University-Bangladesh(AIUB)KuratoliDhaka1229Bangladesh College of Engineering IT and EnvironmentCharles Darwin UniversityCasuarina0909NTAustralia

Cervical Cancer(CC)is a rapidly growing disease among women throughout the world,especially in developed and developing *** this many women have ***,it is curable if it can be diagnosed and detected at an early stage and taken proper *** the high cost,awareness,highly equipped diagnosis environment,and availability of screening tests is a major barrier to participating in screening or clinical test diagnoses to detect CC at an early *** solve this issue,the study focuses on building a deep learning-based automated system to diagnose CC in the early stage using cervix cell *** system is designed using the YOLOv5(You Only Look Once Version 5)model,which is a deep learning *** build the model,cervical cancer pap-smear test image datasets were collected from an open-source repository and these were labeled and *** the YOLOv5 models were applied to the labeled dataset to train the *** versions of the YOLOv5 model were applied in this study to find the best fit model for building the automated system to diagnose CC at an early *** of the model’s variations performed *** model can effectively detect cervical cancerous cell,according to the findings of the *** the medical field,our study will be quite *** can be a good option for radiologists and help them make the best selections possible.

关键词： Cervical cancer pap-smear deep learning cancerous cell YOLOv5 model

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Deep Reinforcement Learning model for Blood Bank Vehicle Routing multi-Objective Optimization

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Computers, materials & Continua 2022年第2期70卷 3955-3967页

作者： meteb m.Altaf ahmed Samir Roshdy Hatoon S.AlSagri Director of Advanced manufacturing and Industry 4.0 Center King Abdul-Aziz City for Science and Technology RiyadhSaudi Arabia Data Science and AI Senior manager Vodafone CairoEgypt Information System Department Al Imam Mohammad Ibn Saud Islamic UniversityRiyadhSaudi Arabia

The overall healthcare system has been prioritized within development top lists *** many national populations are aging,combined with the availability of sophisticated medical treatments,healthcare expenditures are rapidly *** banks are a major component of any healthcare system,which store and provide the blood products needed for organ transplants,emergency medical treatments,and routine *** delivery of blood products is vital,especially in emergency ***,blood delivery process parameters such as safety and speed have received attention in the literature,as well as other parameters such as delivery *** this paper,delivery time and cost are modeled mathematically and marked as objective functions requiring simultaneous optimization.A solution is proposed based on Deep Reinforcement Learning(DRL)to address the formulated delivery functions as multi-objective Optimization Problems(mOPs).The basic concept of the solution is to decompose the mOP into a scalar optimization sub-problems set,where each one of these sub-problems is modeled as a separate Neural Network(NN).The overall model parameters for each sub-problem are optimized based on a neighborhood parameter transfer and DRL training *** optimization step for the subproblems is undertaken collaboratively to optimize the overall *** solutions can be directly obtained using the trained ***,the multi-objective blood bank delivery problem is addressed in this *** technical advantage of this approach is that once the trainedmodel is available,it can be scaled without the need formodel *** scoring can be obtained directly using a straightforward computation of the NN layers in a limited *** proposed technique provides a set of technical strength points such as the ability to generalize and solve rapidly compared to othermulti-objective *** model was trained and tested on 5 major hospi

关键词： Optimization blood bank deep neural network reinforcement learning blood centers multi-objective optimization

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Numerical and experimental analyses of rock failure mechanisms due to microwave treatment

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Journal of Rock mechanics and Geotechnical Engineering 2023年第10期15卷 2483-2495页

作者： Haitham m.ahmed Adel Ahmadihosseini Ferri Hassani mohammed A.Hefni HussinA.m.ahmed Hussein A.Saleem Essam B.moustafa Agus P.Sasmito mining Engineering Department King Abdulaziz UniversityJeddah21589Saudi Arabia Department of mining and materials Engineering McGill UniversityMontrealQCH3A0E8Canada mechanical Engineering Department King Abdulaziz UniversityJeddah21589Saudi Arabia

Despite the extensive studies conducted on the effectiveness of microwave treatment as a novel rock preconditioning method,there is yet to find reliable data on the rock failure mechanisms due to microwave *** addition,there is no significant discussion on the energy efficiency of the method as one of the important factors among the mining and geotechnical engineers in the *** study presents a novel experimental method to evaluate two main rock failure mechanisms due to microwave treatment without applying any mechanical forces,*** and concentrated *** result shows that the existence of a small and concentrated fraction of a strong microwave absorbing mineral will change the failure mechanism from the distributed heating to the concentrated heating,which can increase the weakening over microwave efficiency(WOmE)by more than 10 *** observation is further investigated using the developed coupled numerical *** is shown that at the same input energy,the existence of microwave absorbing minerals can cause major heat concentration inside the rock and increase the maximum temperature by up to three times.

关键词： microwave treatment Numerical modeling Failure mechanism Energy efficiency Rock pre-conditioning

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3D-static reservoir and basin modeling of a lacustrine fan-deltaic system in the Gulf of Suez,Egypt

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Petroleum Research 2023年第1期8卷 18-35页

作者： mohammad A.Abdelwahhab Nabil A.Abdelhafez ahmed m.Embabi Geology Department Faculty of ScienceAl-Azhar UniversityNasr CityCairo11884Egypt

Lacustrine-fan deltas feature high reservoir-quality lithounits that are critical targets to hydrocarbon exploration and ***,depicting their intricate sedimentary architectural elements is still challenging due to complex stacking-patterns and limited *** this study,both 3D-static geocellular reservoir modeling and 1D-basin modeling approaches were combined as an established effective workflow that is capable of efficiently delineating reservoir-heterogeneities and confirming *** integration was for the purpose of unlocking the ultimate petroleum potential of fluvio-lacustrine units,Nubia Formation,in the southwest of the Gulf of Suez rift(West Esh-Elmallaha Concession,Egypt).Pixel-based stochastic-simulation was applied,constrained by an established depositional-model developed after adequate integrated-facies analysis,upon geocellularly modeling rock and fluid properties of Nubia reservoir intervals;utilizing several key-information scales(seismic-profiles,well-logs).The results reveal a lowstand-transgressive systems tract encompassing fluvio-lacustrine depositional-systems subdivided into eight facies-associations,of which fluvialchannels and deltaic mouth bars represent significant reservoir-quality *** efficient reservoir-quality,mouth sand-bars deserve special consideration,and testing,while running further oilfield development-endeavours and investigating similar-settings.

关键词： Facies analysis 3D-static reservoir modeling Basin modeling Paleoenvironment-petroleum geology Gilbert-type fan-deltas Gulf of suez rift

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Computer modeling in Engineering & Sciences 2022年第1期130卷 221-232页

作者： Rabha W.Ibrahim ahmed m.Ajaj Nadia m.G.Al-Saidi Dumitru Balean Institute of Electrical and Electronics Engineers Kuala LumpurMalaysia Department of Islamic Finance and Banking College of Islamic SciencesIraqi UniversityAdhamiyahIraq Department of Applied Sciences University of TechnologyBaghdadIraq Department of mathematics Cankaya UniversityAnkaraTurkey Institute of Space Sciences Magurele-BucharestRomania Department of medical Research China Medical UniversityTaichungTaiwanChina

The science of strategy(game theory)is known as the optimal decision-making of autonomous and challenging players in a strategic *** are different strategies to complete the optimal *** of these strategies is the similarity *** technique is a generalization of the symmetric strategy,which depends only on the other approaches employed,which can be formulated by altering *** of these methods is the fractal *** this investigation,we present a new method studying the similarity analytic solution(SAS)of a 3D-fractal nanofluid system(FNFS).The dynamic evolution is completely given by the concept of differential subordination and *** andmajorization relationships are the sets of observable *** theory can simplify the conditions under which particular sets *** offer an explicit construction for the complex possible velocity,energy and thermal functions of two-dimensional fluid flow(the complex variable is suggested in the open unit disk,where the disk is selected at a constant temperature and concentration with uniform velocity).We establish that whenever the 3D-fractal nanofluid systemis approximated by a fractal function,the solution has the same property,so a class of fractal tangent function gives ***,we demonstrate some simulations and examples that give the consequences of this methodology.

关键词： Analytic function open unit disk subordination and super-ordination fractional chaotic function similarity solution symmetry fractal fluid

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