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Cha.a.teriza.ion of the Crys.a. s.ructure of s.s.0}e s.ed Ca.e Burned by Nd: Ya. La.er

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Journa. of Ma.eria.s.s.ience a.d Chemica. Engineering 2018年第4期6卷 121-131页

作者： Muna.a. Pn Ga.ba. a.delra.ma. a. Elba.a.i Yous.f a. a.s.0}a. Moha.med U. Ors.d ali a. s. marouf Phys.cs.Depa.tment Faculty of Education-Seyoun Hadhramout University Hadhramout Yemen Depa.tment of Phys.cs Faculty of Science and Technology Al Neelain University Khartoum Sudan Fa.ulty of Ba.ic s.udies Future University Khartoum Sudan Depa.tment of Phys.cs Faculty of Education and Applied Science Hajjah University Hajjah Yemen College of s.ience Sudan University of Science and Technology Khartoum Sudan Ins.itute of La.er Sudan University of Science and Technology Khartoum Sudan

This.pa.er reports.obta.ning of us.ful a.d high-va.ue ma.eria.s.from s.s.0}e s.ed ca.e (s.C). For this.purpos., s.C s.0}ple wa. burned for 30 s.us.ng Nd: Ya. la.er with output power 60 W. The products.of this.proces. a.d non-burned s.C were cha.a.terized by X-ra. diffra.tometer (XRD), energy dis.ers.ve x-ra. (EDX) a.d Fourier tra.s.orm infra.ed (FTIR) s. a. to inves.iga.e its.crys.a. s.ructure a.d chemica. components. XRD res.lts.of the s.C before burning proces. s.owed a.orphous.s.lica. rhombohedra. pha.e of ca.bon, monoclinic pha.e of a.uminum chloride, the hexa.ona. pha.e of mois.a.ite-4H, (yellow, bla.k) a.d hexa.ona. pha.e of gra.hite-2H, C (bla.k). While the res.lts.of the burned s.C s.0}ple s.owed tha. the burning proces. us.ng the power of Nd: Ya. la.er ca.ed in a.pea.ing of crys.a.line hexa.ona. pha.e for s.lica.a.d Ca.bon Nitride a.d converting the rhombohedra. pha.e of Ca.bon into hexa.ona. pha.e. FTIR s.owed a.number of a.s.rba.ce pea.s.a.s.gned to s.lica.

关键词： Crys.a. s.ructure FTIR Hexa.ona. Ca.bon La.er-Ba.ed Combus.ion s.s.0}e s.ed Ca.e s.s.0}e Oil Ca.e s.lica XRD

Big da.a.cha.lenge for monitoring quality in higher educa.ion ins.itutions.us.ng bus.nes. intelligence da.hboa.ds

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Journa. of Electronic s.ience a.d Technology 2024年第1期22卷 25-41页

作者： ali s.rour a.thony s.a.kins Fa.ulty of Digita. TechnologyInnovationand BusinessStaffordshire UniversityStoke-on-TrentST42DEUnited Kingdom

a. big da.a.becomes.a. a.pa.ent cha.lenge to ha.dle when building a.bus.nes. intelligence(BI)s.s.em,there is.a.motiva.ion to ha.dle this.cha.lenging is.ue in higher educa.ion ins.itutions.HEIs..Monitoring quality in HEIs.encompa.s.s.ha.dling huge a.ounts.of da.a.coming from different *** pa.er reviews.big da.a.a.d a.a.ys.s.the ca.es.from the litera.ure rega.ding quality a.s.ra.ce(Qa.in *** a.s. outlines.a.fra.ework tha. ca. a.dres. the big da.a.cha.lenge in HEIs.to ha.dle Qa.monitoring us.ng BI da.hboa.ds.a.d a.prototype da.hboa.d is.pres.nted in this.*** da.hboa.d wa. developed us.ng a.utilis.0}ion tool to monitor Qa.in HEIs.to provide vis.a. repres.nta.ions.of big *** prototype da.hboa.d ena.les.s.a.eholders.to monitor complia.ce with Qa.s.a.da.ds.while a.dres.ing the big da.a.cha.lenge a.s.cia.ed with the s.bs.a.tia. volume of da.a.ma.a.ed by HEIs.Qa.*** pa.er a.s. outlines.how the developed s.s.em integra.es.big da.a.from s.cia. media.into the monitoring da.hboa.d.

关键词： Big da.a Bus.nes. intelligence(BI) Da.hboa.ds Higher educa.ion(HE) Quality a.s.ra.ce(Qa. s.cia. media

Defining fa.lure of endolumina. bilia.y dra.na.e in the era.of endos.opic ultra.ound a.d lumen a.pos.ng meta. s.ents

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World Journa. of Ga.troenterology 2024年第29期30卷 3534-3537页

作者： Fa.s.0} s.ali s.s.ova. Guha Depa.tment of Ga.troenterology Hepatologyand NutritionUniversity of Texas Health Science Center at HoustonHustonTX 77054United States Depa.tment of Clinica. s.iences Tilman J.Fertitta Family College of MedicineUniversity of HoustonHoustonTX 77204United States

The role of endos.opy in pa.hologies.of the bile duct a.d ga.lbla.der ha. s.en nota.le a.va.cements.over the pa.t two *** a.va.cements.in s.ent technology,s.ch a. the development of lumen-a.pos.ng meta. s.ents.a.d a.option of endos.opic ultra.ound a.d electros.rgica. principles.in thera.eutic endos.opy,wha. wa. once cons.dered endos.opic fa.lure ha. tra.s.ormed into fa.lure of a. a.proa.h tha. could be s.0}va.ed by a.s.cond-or third-line endos.opic *** of thes. a.va.cements.in routine pa.ient ca.e will require forma. tra.ning a.d multidis.iplina.y a.cepta.ce of es.a.lis.ed techniques.a.d colla.ora.ion for a.va.cement of experimenta. techniques.to genera.e robus. evidence tha. ca. be utilized to s.rve pa.ients.to the bes. of our a.ility.

关键词： Endos.opic ultra.ound Guided bilia.y dra.na.e Ga.lbla.der Bilia.y obs.ruction Lumen-a.pos.ng meta. s.ent

5G Res.urce a.loca.ion Us.ng Fea.ure s.lection a.d Greyla. Goos. Optimiza.ion a.gorithm

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Computers. Ma.eria.s.& Continua 2024年第7期80卷 1179-1201页

作者： a.el ali a.hus.a. s.K.Towfek Depa.tment of Computer s.iences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Computer s.ience a.d Intelligent s.s.ems.Res.a.ch Center BlacksburgVA 24060USA

In the contempora.y world of highly efficient technologica. development,fifth-genera.ion technology(5G)is.s.en a. a.vita. s.ep forwa.d with theoretica. ma.imum downloa. s.eeds.of up to twenty giga.its.per s.cond(Gbps..a. fa. a. the current implementa.ions.a.e concerned,they a.e a. the level of s.ightly below 1 Gbps.but this.a.lowed a.grea. lea. forwa.d from fourth genera.ion technology(4G),a. well a. ena.ling s.gnifica.tly reduced la.ency,ma.ing 5G a. a.s.lute neces.ity for a.plica.ions.s.ch a. ga.ing,virtua. conferencing,a.d other intera.tive electronic *** of this.cha.ge a.e not limited to connectivity a.one;it urges.opera.ors.to refine their bus.nes. s.ra.egies.a.d offers.us.rs.better a.d improved digita. *** es.entia. fa.tor is.optimiza.ion a.d the a.plica.ion of a.tificia. intelligence throughout the genera. a.ra.gement of intrica.e a.d deta.led 5G *** Bina.y Greyla. Goos. Optimiza.ion(bGGO)to a.hieve a.s.gnifica.t reduction in the fea.ure s.t while ma.nta.ning or improving model performa.ce,lea.ing to more efficient a.d effective 5G network ma.a.ement,a.d Greyla. Goos. Optimiza.ion(GGO)increa.es.the efficiency of the ma.hine ***,the model performs.a.d yields.more a.cura.e *** work propos.s.a.new method to s.hedule the res.urces.in the next genera.ion,5G,ba.ed on a.fea.ure s.lection us.ng GGO a.d a.regres.ion model tha. is.a. ens.mble of K-Nea.es. Neighbors.KNN),Gra.ient Boos.ing,a.d Extra.Trees.*** ens.mble model s.ows.better prediction performa.ce with the coefficient of determina.ion R s.ua.ed va.ue equa. *** propos.d fra.ework is.s.pported by s.vera. s.a.is.ica. a.a.ys.s.s.ch a. theWilcoxon s.gned-ra.k *** of the benefits.of this.s.udy a.e the introduction of new efficient optimiza.ion a.gorithms.the s.lection of fea.ures.a.d more relia.le ens.mble models.which improve the efficiency of 5G technology.

关键词： Optimiza.ion ens.mble lea.ning 5G technology a.tificia. intelligence greyla. goos. optimiza.ion a.OVa.tes.

Enha.cing Renewa.le Energy Integra.ion:a.Ga.s.ia.-Ba.e-Bones.Levy Cheeta. Optimiza.ion a.proa.h to Optima. Power Flow in Electrica. Networks

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Computer Modeling in Engineering & s.iences 2024年第8期140卷 1339-1370页

作者： ali s.a.gha.di Moha.ed a.Zohdy s.1}d a.doihi Depa.tment of Electrica. Engineering College of EngineeringMajmaah UniversityAl-Majmaah11952Saudi Arabia Electrica. a.d Computer Engineering Depa.tment Oakland UniversityRochesterMI48309USA Ins.itute of Ea.th a.d s.a.e s.ience King Abdulaziz City for Science and Technology(KACST)Riyadh11442Saudi Arabia Computer s.ience a.d s.s.ems.Engineering Institute Polytechnique de ParisPalaiseau CedexFrance

In the contempora.y era.the globa. expa.s.on of electrica. grids.is.propelled by va.ious.renewa.le energy s.urces.REs.).Efficient integra.ion of s.ocha.tic REs. a.d optima. power flow(OPF)ma.a.ement a.e critica. for network *** s.udy introduces.a. innova.ive s.lution,the Ga.s.ia. Ba.e-Bones.Levy Cheeta. Optimizer(GBBLCO),a.dres.ing OPF cha.lenges.in power genera.ion s.s.ems.with s.ocha.tic *** prima.y objective is.to minimize the tota. opera.ing cos.s.of REs.,cons.dering four functions.overa.l opera.ing cos.s.volta.e devia.ion ma.a.ement,emis.ions.reduction,volta.e s.a.ility index(Vs.)a.d power los. ***,a.ca.bon ta. is.included in the objective function to reduce ca.bon *** s.rutiny,us.ng modified IEEE 30-bus.a.d IEEE 118-bus.s.s.ems.valida.es.GBBLCO’s.s.perior performa.ce in a.hieving optima. *** res.lts.demons.ra.e GBBLCO’s.effica.y in s.x optimiza.ion s.ena.ios.tota. cos. with va.ve point effects.tota. cos. with emis.ion a.d ca.bon ta.,tota. cos. with prohibited opera.ing zones.a.tive power los. optimiza.ion,volta.e devia.ion optimiza.ion a.d enha.cing volta.e s.a.ility index(Vs.).GBBLCO outperforms.conventiona. techniques.in ea.h s.ena.io,s.owca.ing ra.id convergence a.d s.perior s.lution ***,GBBLCO na.iga.es.complexities.introduced by va.ve point effects.a.a.ts.to environmenta. cons.ra.nts.optimizes.cos.s.while cons.dering prohibited opera.ing zones.minimizes.a.tive power los.es.a.d optimizes.volta.e devia.ion by enha.cing the volta.e s.a.ility index(Vs.)*** res.a.ch s.gnifica.tly contributes.to a.va.cing OPF,empha.izing GBBLCO’s.improved globa. s.a.ch ca.a.ilities.a.d a.ility to a.dres. cha.lenges.rela.ed to loca. *** emerges.a. a.vers.0}ile a.d robus. optimiza.ion tool for divers. cha.lenges.in power s.s.ems.offering a.promis.ng s.lution for the evolving needs.of renewa.le energy-integra.ed power grids.

关键词： Renewa.le energy integra.ion optima. power flow s.ocha.tic renewa.le energy s.urces ga.s.ia.-ba.e-bones.levy cheeta. optimizer electrica. network optimiza.ion ca.bon ta. optimiza.ion

Hea. tra.s.er a.a.ys.s.in pa.ticle-la.en flows.us.ng the immers.d bounda.y method

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Pa.ticuology 2024年第7期90卷 394-403页

作者： ali a.ba. Za.di Depa.tment of Mecha.ica. Engineering University of Manitoba75A Chancellors CircleWinnipegR3T 5V6Canada

This.pa.er inves.iga.es.a. efficient immers.d bounda.y method(IBM)for multiple-core CPU ma.hines.with loca. grid refinement for the ca.cula.ion of hea. tra.s.er between fluids.a.d finite-s.zed *** fluid momentum equa.ions.a.e s.lved by us.ng the fra.tiona. s.ep method,while the energy equa.ion is.s.lved by employing the s.cond-order a.a.s.Ba.hforth *** efficient loa. ba.a.cing between the CPU cores.the coupling between pa.ticles.a.d fluid is.obta.ned by a.plying the body force in the fluid equa.ions.which depends.on the s.lid volume fra.tion of pa.ticles.conta.ned in ea.h grid cell,a.d then by linea.ly interpola.ing the pa.ticle tempera.ure a.d velocity on the fluid grid cell(in pla.e of the delta.function commonly us.d in litera.ure).s.vera. tes. ca.es.from the litera.ure a.e s.udied,a.d good a.reement is.obs.rved between the s.mula.ion res.lts.a.d the ***,a.s.aling s.udy on multiple core ma.hines.is.performed,demons.ra.ing the propos.d IBM's.ca.a.ilities.for a.s.gnifica.t reduction in proces.ing time.

关键词： Hea. tra.s.er Immers.d bounda.y method Pa.ticle res.lved direct numerica. s.mula.ions Fluid s.lid intera.tions

a.tificia. Intelligence for Globa. Hea.th: Difficulties.a.d Cha.lenges. a.Na.ra.ive Review

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Open Journa. of Epidemiology 2024年第1期14卷 122-130页

作者： Na.ia.s. s.0}a. Ma.ya. s. s.utta.i Mir s.0}a.-ali Depa.tment of a.plied Nutrition University of New England Portland USA Depa.tment of Us.Cons.lta.cy for a.plied Res.a.ch Lombard USA Depa.tment of Ha.fa.Medica. Center AlKhobar Saudi Arabia

Globa. hea.th (GH) a.ms.to improve hea.thca.e for a.l people on the pla.et a.d era.ica.e a.l a.oida.le dis.a.es.a.d dea.hs. The inception of a.tificia. Intelligence (a.) is.innova.ing hea.thca.e pra.tices.a.d improving pa.ient outcomes.by s.uffling enormous.volumes.of hea.th da.a.from hea.th records.a.d clinica. s.udies.to genetic informa.ion a.a.yzing it much fa.ter tha. huma.s. a. a.s. helps.in the improvement of medica. ima.ing a.d medica. dia.nos.s. There is.a. increa.ed optimis. rega.ding the us. of a.plica.ions.of a. loca.ly but ca. thes. fa.ets.be tra.s.a.ed globa.ly in the a.va.cement a.d delivery of hea.thca.e with the help of a.. a. pres.nt ma.ority of a. developments.a.d a.plica.ions.in hea.th ca.e provide to the needs.of developed countries.a.d there is.little effort to develop progra.s.which could help to improve hea.thca.e delivery globa.ly. We performed this.na.ra.ive review to a.s.s. the difficulties.a.d dis.repa.cies.in implementing a. in globa. hea.th delivery a.d find wa.s.to improve.

关键词： a.tificia. Intelligence Globa. Hea.th Implementa.ion Pitfa.ls

Us.ng neura. network modeling to improve the detection a.cura.y of la.d s.bs.dence due to groundwa.er withdra.a.

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Journa. of Mounta.n s.ience 2024年第7期21卷 2320-2333页

作者： ali M.Ra.a.I ali EDa.a. Ya.a.a. a.OLGHa.EMI Ma.di KHODa.a.a.T Depa.tment of Engineering Geology University of TehranTehran ***Iran Depa.tment of Civil Engineering University of QomQom ***Iran

Des.ite the high efficiency of remote s.ns.ng methods.for ra.id a.d la.ge-s.a.e detection of s.bs.dence phenomena.this.technique ha. limita.ions.s.ch a. a.mos.heric impa.t a.d tempora. a.d s.a.ia. decorrela.ion tha. a.fect the a.cura.y of the *** pa.er propos.s.a.method ba.ed on a. a.tificia. neura. network to improve the res.lts.of monitoring la.d s.bs.dence due to groundwa.er overexploita.ion by ra.a. interferometry in the alia.a. pla.n(Centra. Ira.).In this.rega.d,vertica. ground deforma.ions.were monitored over 18 months.us.ng the s.ntinel-1a.s.0} *** model the la.d s.bs.dence by a.multila.er perceptron(MLP)a.tificia. neura. network,four pa.a.eters.including groundwa.er level,a.luvia. thicknes.,ela.tic modulus.a.d tra.s.is.ivity ha.e been *** model's.generaliza.ility wa. a.s.s.ed us.ng da.a.derived for 144 *** to the res.lts.the neura. network es.ima.es.the la.d s.bs.dence a. ea.h ground point with a. a.cura.y of 6.8 mm.a.compa.is.n between the predicted a.d a.tua. va.ues.indica.ed a.s.gnifica.t *** MLP model ca. be us.d to improve the res.lts.of s.bs.dence detection in the s.udy a.ea.or other a.ea. with s.mila. cha.a.teris.ics.

关键词： DIns.0} La.d s.bs.dence Groundwa.er withdra.a. alia.a. pla.n a.tificia. neura. network

Performa.ce of Text-Independent a.toma.ic s.ea.er Recognition on a.Multicore s.s.em

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Ts.nghua.s.ience a.d Technology 2024年第2期29卷 447-456页

作者： Ra.d Koua.ly Ta.ha.ali Kha. Fa.ulty of Tech a.d s.ftwa.e Engineering University of Europe for Applied SciencesPotsdam 14469Germany

This.pa.er s.udies.a.high-s.eed text-independent a.toma.ic s.ea.er Recognition(a.R)a.gorithm ba.ed on a.multicore s.s.em's.Ga.s.ia. Mixture Model(GMM).The high s.eech is.a.hieved us.ng pa.a.lel implementa.ion of the fea.ure's.extra.tion a.d a.grega.ion methods.during tra.ning a.d tes.ing *** memory pa.a.lel progra.ming techniques.us.ng both OpenMP a.d PThrea.s.libra.ies.a.e developed to a.celera.e the code a.d improve the performa.ce of the a.R *** experimenta. res.lts.s.ow s.eed-up improvements.of a.ound 3.2 on a.pers.na. la.top with Intel i5-6300HQ(2.3 GHz,four cores.without hyper-threa.ing,a.d 8 GB of Ra.).In a.dition,a.rema.ka.le 100%s.ea.er recognition a.cura.y is.a.hieved.

关键词： a.toma.ic s.ea.er Recognition(a.R) Ga.s.ia. Mixture Model(GMM) s.a.ed memory pa.a.lel progra.ming PThrea.s OpenMP