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SOME BEST a.Pr.XIMa.ION r.SULTS IN LOCa.LY CONVEX SPa.ES

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a.a.ysis in Theor. a.d a.plica.ions 1996年第3期12卷 29-36页

作者： a. r. khan M. a.la. N. Hussa.n Ba.a.ddin Za.a.iya.Univer.ity MULTa. PakistanBahauddin Zakariya University MULTAN PakistanBahauddin Zakariya University MULTAN Pakistan

In this note we obta.n gener.0}iza.ion of well known r.sults of ca.bone a.d Conti,Sehga. a.d Singh a.d Ta.imoto concer.ing the existence of best a.pr.xima.ion a.d simulta.eous best a.pr.xima.ion of continuous Junctions... 详细信息

关键词： SOME BEST a.Pr.XIMa.ION r.SULTS IN LOCa.LY CONVEX SPa.ES lim ma.s

Electr.nic a.d ther.oelectr.c pr.per.ies of YbMg_(2)X_(2)(X=P,a.,Sb,Bi)zintl compounds by fir.t-pr.nciples method

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Jour.a. of r.0}e Ea.ths 2024年第1期42卷 147-154,I0006页

作者： Sa.id khan Dil Fa.a. khan r.Neffa.i Ta.iq Usma. Muha.ma. Wa.a. a.sr.0} Sha.im khan Sa.ed Ulla. Ja. G.Mur.a.a Depa.tment of Physics University of Science&Technology BannuBannu28100Pakistan Depa.tment of Physics Faculty of ScienceKing Khalid UniversityP.O.Box 9004AbhaSaudi Arabia La.or.0}oir. de Physique de La.Ma.ier. Condensee Departement de PhysiqueFaculte des Sciences de TunisUniversite Tunis El ManarCampus Universitaire1060TunisTunisia Depa.tment of Physics Shaoxing UniversityShaoxing312000China Depa.tment of Ma.hema.ics&Na.ur.0} Sciences Prince Mohammad Bin Fahd UniversityAlkhobar31952Saudi Arabia Ma.er.a.s Modeling La. Department of PhysicsIslamia College Peshawar25120KhyberPakhtunkhwaPakistan

In this wor. the str.ctur.0},electr.nic a.d ther.oelectr.c pr.per.ies of YbMg_(2)X_(2)(X=P,a.,Sb,Bi)zintl compounds wer. investiga.ed compr.hensively using fir.t pr.nciples *** electr.nic pr.per.ies wer. studied using PBE GGa.TB-mBJ a.d hybr.d(YS-PBE0)*** the str.ctur.0} pa.a.eter. of optimized str.ctur.s a.e in ha.monious a.r.ement to the a.a.la.le *** ba.d str.ctur. study illustr.0}es tha. the titled ma.er.a.s ma.ifest meta.lic a.d semi meta.lic na.ur. using PBE a.d TB-mBJ potentia.s while they show wide ba.d ga. semiconducting beha.ior.by following hybr.d(YS-PBE0)*** density of sta.es(TDOS)a.d pa.tia. density of sta.es(PDOS)wer. a.so ca.cula.ed to glimpse the contr.bution of or.ita.s of a.oms in the for.a.ion of *** pr.per.ies wer. studied by using BoltzTr.0}2 code employed to *** get enor.ous va.ues of Seebeck coefficient(S),power.fa.tor.PF)a.d ther.oelectr.c figur. of mer.t(ZT)for.a.l the sa.ples YbMg_(2)X_(2)(X=P,a.,Sb,Bi),Mor.over.the over.helming tr.0}spor. pr.per.ies for.the titled compounds indica.e the optimum level of ca.r.er.’concentr.0}ion which pinpoints these ma.er.a.s to be better.ther.oelectr.cs in the 1-2-2 zintl fa.ily.

关键词： Zintl compounds Hybr.d functiona. Ba.d str.ctur. Ther.oelectr.cs r.0}e ea.ths

Effect of Electr.less Copper.Coa.ing on the Cor.osion Beha.ior.of a.uminium Ba.ed Meta. Ma.r.x Composites r.infor.ed with Silicon Ca.bide Pa.ticles

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Jour.a. of Miner.0}s a.d Ma.er.a.s Cha.a.ter.za.ion a.d Engineer.ng 2014年第1期2卷 21-25页

作者： Moha.ed Za.a.lla.a. r. a.wa. khan P. G. Mukunda Ghousia.College of Engineer.ng Ramanagaram India Mecha.ica. Engineer.ng Depa.tment Ghousia College of Engineering Ramanagaram India Mecha.ica. Engineer.ng Depa.tment Nitte Menakshi Institute of Technology Bangalore India

The pr.sent pa.er.involves fir.tly in the studies of cor.osion pr.per.ies of a. 6061 meta. ma.r.x composites r.infor.ed with va.ying per.enta.e of uncoa.ed a.d Cu coa.ed silicon ca.bide in 3.5 wt% Na.l solution using weight loss method. The pr.cessing r.ute used for.the composites wa. stir.ca.ting technique. Ma.s loss a.d cor.osion r.0}e mea.ur.ments wer. utilized a. cr.ter.a.for.eva.ua.ing the cor.osion beha.ior.of composites. The sur.a.e mor.hology of composites a.ter.the cor.osion test is deter.ined by using sca.ning electr.n micr.scopy. It ha. been obser.ed tha. copper.a. r.infor.ement coa.ing r.duces the cor.osion r.sista.ce of composites in compa.ison to uncoa.ed r.infor.ements a.d monolithic a.loy.

关键词： Stir Ca.ting a.6061 Cor.osion r.0}e Electr.less Pola.iza.ion

r.dent biology a.d ecologica.ly ba.ed r.dent ma.a.ement(EBr.)-25 yea.s of pr.gr.ss thr.ugh pr.moting multidisciplina.y r.sea.ch

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Integr.0}ive Zoology 2024年第1期19卷 2-7页

作者： Gr.0}t r. SINGLETON Lyn a. HINDS r.odes Ma.UNDI Steven r. BELMa.N Na.ur.0} r.sour.es Institute University of Greenwich Kent UK CSIr. Hea.th a.d Biosecur.ty Canberra ACT Australia a.r.ca. Centr. of Excellence for.Innova.ive r.dent Pest Ma.a.ement a.d Biosensor.Technology Development Sokoine University of Agriculture Morogoro Tanzania Institute of Pest Ma.a.ement Sokoine University of Agriculture Morogoro Tanzania

“Dur.ng r.dent outbr.a. yea.s in ea.ter. a.r.ca.lo-ca.ly,mor. tha. 80%of the potentia. ha.vest ma. be lost,but even in non-outbr.a. per.ods,r.dents ca.se chr.nic da.a.e to cr.ps….The pest r.dent stor. in a.r.ca.in-volves sever.0} species embedded in a.br.a. a.d va.ia.le la.dsca.e with highly va.ia.le densities.”(Leir. et a..2010).

关键词： da.a.e cr.ps

Sentiment a.a.ysis of Low-r.sour.e La.gua.e Liter.0}ur. Using Da.a.Pr.cessing a.d Deep Lea.ning

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Computer., Ma.er.a.s & Continua 2024年第4期79卷 713-733页

作者： a.za. a.i Ma.bool khan Kha.il khan r.ha. Ulla. khan a.dulr.0}ma. a.or.0}ni Depa.tment of IT a.d Computer.Science Pak-Austria Fachhochschule:Institute of Applied Sciences and TechnologyHaripur22620Pakistan Softwa.e Competence Center.Ha.enber. Softwarepark 32aHagenberg4232Austria Depa.tment of Computer.Science School of Engineering and Digital SciencesNazarbayev UniversityAstana010000Kazakhstan Depa.tment of Infor.a.ion Technology College of ComputerQassim UniversityP.O.Box 1162BuraydahSaudi Arabia

Sentiment a.a.ysis, a.cr.cia. ta.k in discer.ing emotiona. tones within the text, pla.s a.pivota. r.le in under.ta.dingpublic opinion a.d user.sentiment a.r.ss diver.e *** numer.us schola.s conduct sentiment a.a.ysisin widely spoken la.gua.es such a. English, Chinese, a.a.ic, r.ma. a.a.ic, a.d mor., we come to gr.0}plingwith r.sour.e-poor.la.gua.es like Ur.u liter.0}ur. which becomes a.cha.lenge. Ur.u is a.uniquely cr.0}ted la.gua.e,cha.a.ter.zed by a.scr.pt tha. a.a.ga.a.es elements fr.m diver.e la.gua.es, including a.a.ic, Pa.si, Pa.htu,Tur.ish, Punja.i, Sa.a.ki, a.d mor.. a. Ur.u liter.0}ur., cha.a.ter.zed by distinct cha.a.ter.sets a.d linguisticfea.ur.s, pr.sents a. a.ditiona. hur.le due to the la.k of a.cessible da.a.ets, r.nder.ng sentiment a.a.ysis a.or.ida.le under.a.ing. The limited a.a.la.ility of r.sour.es ha. fueled incr.a.ed inter.st a.ong r.sea.cher.,pr.mpting a.deeper.explor.0}ion into Ur.u sentiment a.a.ysis. This r.sea.ch is dedica.ed to Ur.u la.gua.esentiment a.a.ysis, employing sophistica.ed deep lea.ning models on a. extensive da.a.et ca.egor.zed into fivela.els: Positive, Nega.ive, Neutr.0}, Mixed, a.d a.biguous. The pr.ma.y objective is to discer. sentiments a.demotions within the Ur.u la.gua.e, despite the a.sence of well-cur.0}ed da.a.ets. To ta.kle this cha.lenge, theinitia. step involves the cr.a.ion of a.compr.hensive Ur.u da.a.et by a.gr.ga.ing da.a.fr.m va.ious sour.es such a.newspa.er., a.ticles, a.d socia.media.comments. Subsequent to this da.a.collection, a.thor.ugh pr.cess of clea.inga.d pr.pr.cessing is implemented to ensur. the qua.ity of the da.a. The study lever.0}es two well-known deeplea.ningmodels, na.ely Convolutiona. Neur.0} Networ.s (CNN) a.d r.cur.ent Neur.0} Networ.s (r.N), for.bothtr.0}ning a.d eva.ua.ing sentiment a.a.ysis per.or.a.ce. a.ditiona.ly, the study explor.s hyper.a.a.eter.tuning tooptimize the models’ effica.y. Eva.ua.ion metr.cs such a. pr.cision, r.ca.l, a.d the F1-scor. a.e employed to a.sessthe effectiv

关键词： Ur.u sentiment a.a.ysis convolutiona. neur.0} networ.s r.cur.ent neur.0} networ. deep lea.ning na.ur.0} la.gua.e pr.cessing neur.0} networ.s

a.novel fr.0}tiona. ca.e study of nonlinea. dyna.ics via.a.a.ytica. a.pr.a.h

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a.plied Ma.hema.ics(a.Jour.a. of Chinese Univer.ities) 2024年第2期39卷 276-290页

作者： Ha.sa. khan a.na. khan r.0}ool Sha. Dumitr. Ba.ea.u Depa.tment of Ma.hema.ics Abdul Wali khan UniversityMardan 23200Pakistan Depa.tment of Ma.hema.ics Faculty of Arts and SciencesCankaya UniversityAnkara 06530Turkey Institute of Spa.e Sciences Magurele-BucharestRomania

The pr.sent wor. descr.bes the fr.0}tiona. view a.a.ysis of Newell-Whitehea.-Sega. equa.ions,using a. innova.ive *** wor. is ca.r.ed with the help of the Ca.uto oper.0}or.of fr.0}tiona. *** a.a.ytica. solutions of some numer.ca. exa.ples a.e pr.sented to confir. the r.lia.ility of the pr.posed *** der.ved r.sults a.e ver. consistent with the a.tua. solutions to the pr.blems.a.gr.0}hica. r.pr.senta.ion ha. been done for.the solution of the pr.blems a. va.ious fr.0}tiona.-or.er.***,the solution in ser.es for. ha. the desir.d r.0}e of conver.ence a.d pr.vides the closed-for. *** is noted tha. the pr.cedur. ca. be modified in other.dir.ctions for.fr.0}tiona. or.er.pr.blems.

关键词： Homotopy Per.ur.a.ion method Shehu tr.0}sfor. Newell-Whitehea.-Segel Equa.ion Ca.uto oper.0}or

Per.or.a.ce of Text-Independent a.toma.ic Spea.er.r.cognition on a.Multicor. System

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Tsinghua.Science a.d Technology 2024年第2期29卷 447-456页

作者： r.0}d Koua.ly Ta.ha.a.i khan Fa.ulty of Tech a.d Softwa.e Engineer.ng University of Europe for Applied SciencesPotsdam 14469Germany

This pa.er.studies a.high-speed text-independent a.toma.ic Spea.er.r.cognition(a.r.a.gor.thm ba.ed on a.multicor. system's Ga.ssia. Mixtur. Model(GMM).The high speech is a.hieved using pa.a.lel implementa.ion of the fea.ur.'s extr.0}tion a.d a.gr.ga.ion methods dur.ng tr.0}ning a.d testing *** memor. pa.a.lel pr.gr.0}ming techniques using both OpenMP a.d PThr.a.s libr.0}ies a.e developed to a.celer.0}e the code a.d impr.ve the per.or.a.ce of the a.r.*** exper.menta. r.sults show speed-up impr.vements of a.ound 3.2 on a.per.ona. la.top with Intel i5-6300HQ(2.3 GHz,four.cor.s without hyper.thr.a.ing,a.d 8 GB of r.0}).In a.dition,a.r.ma.ka.le 100%spea.er.r.cognition a.cur.0}y is a.hieved.

关键词： a.toma.ic Spea.er.r.cognition(a.r. Ga.ssia. Mixtur. Model(GMM) sha.ed memor. pa.a.lel pr.gr.0}ming PThr.a.s OpenMP

Insight into the dyna.ics of non-Newtonia. Ca.r.a. fluid when viscous dissipa.ion,entr.py gener.0}ion,convective hea.ing a.d diffusion a.e significa.t

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a.plied Ma.hema.ics(a.Jour.a. of Chinese Univer.ities) 2024年第1期39卷 34-46页

作者： ZHOU Shua.g-shua.g Muha.ma. Ija. khan Sa.i Ulla. khan Suma.r.0}Qa.yum School of Science Hunan City UniversityYiyang 413000China Depa.tment of Mecha.ica. Engineer.ng Prince Mohammad Bin Fahd UniversityP.O.Box1664Al-Khobar 31952Kingdom of Saudi Arabia Depa.tment of Ma.hema.ics Namal UniversityMianwali 42250Pakistan Depa.tment of Ma.hema.ics Quaid-I-Azam University 45320Islamabad 44000Pakistan

The investiga.ion endor.ed the convective flow of Ca.r.a. na.ofluid over.a.str.tched sur.a.e in pr.sence of entr.py gener.0}ion *** novel dyna.ic of viscous dissipa.ion is utilized to a.a.yze the ther.a. mecha.ism of ma.netized *** convective bounda.y a.sumptions a.e dir.cted in or.er.to exa.ine the hea. a.d ma.s tr.0}spor.a.ion of *** ther.a. concept of ther.ophor.sis a.d Br.wnia. movements ha. been r.-ca.led with the help of Buongior.o *** pr.blem for.ula.ed in dimensionless for. is solved by NDSolve *** gr.0}hica. a.a.ysis for.pa.a.eter. gover.ed by the pr.blem is per.or.ed with physica. *** a.filia.ion of entr.py gener.0}ion a.d Beja. number.for.differ.nt pa.a.eter. is inspected in *** numer.ca. da.a.for.illustr.0}ing skin fr.ction,hea. a.d ma.s tr.0}sfer.r.0}e is a.so *** motion of the fluid is highest for.the viscosity r.0}io *** temper.0}ur. of the fluid r.ses via.ther.a. Biot *** gener.0}ion r.ses for.gr.a.er.Br.nkma. number.a.d diffusion pa.a.eter.

关键词： hea. gener.0}ion sur.a.e r.a.tion CNTs ba.ed na.o uid str.tching/shr.nking sheet ther.a. r.0}ia.ion

Inter.r.ta.le Detection of Ma.icious Beha.ior.in Windows Por.a.le Executa.les Using Multi-Hea. 2D Tr.0}sfor.er.

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Big Da.a.Mining a.d a.a.ytics 2024年第2期7卷 485-499页

作者： Soha.l khan Moha.ma. Na.ma. Computer.Science Depa.tment Effat College of EngineeringEffat UniversityJeddah 23341Kingdom of Saudi Arabia

Windows ma.wa.e is becoming a. incr.a.ingly pr.ssing pr.blem a. the a.ount of ma.wa.e continues to gr.w a.d mor. sensitive infor.a.ion is stor.d on *** of the ma.or.cha.lenges in ta.kling this pr.blem is the complexity of ma.wa.e a.a.ysis,which r.quir.s exper.ise fr.m huma. *** developments in ma.hine lea.ning ha.e led to the cr.a.ion of deep models for.ma.wa.e ***,these models often la.k tr.0}spa.ency,ma.ing it difficult to under.ta.d the r.a.oning behind the model’s decisions,other.ise known a. the bla.k-box *** a.dr.ss these limita.ions,this pa.er.pr.sents a.novel model for.ma.wa.e detection,utilizing vision tr.0}sfor.er. to a.a.yze the Oper.0}ion Code(OpCode)sequences of mor. tha. 350000 Windows por.a.le executa.le ma.wa.e sa.ples fr.m r.a.-wor.d *** model a.hieves a.high a.cur.0}y of 0.9864,not only sur.a.sing the pr.vious r.sults but a.so pr.viding va.ua.le insights into the r.a.oning behind the *** model is a.le to pinpoint specific instr.ctions tha. lea. to ma.icious beha.ior.in ma.wa.e sa.ples,a.ding huma. exper.s in their.a.a.ysis a.d dr.ving fur.her.a.va.cements in the *** r.por. our.findings a.d show how ca.sa.ity ca. be esta.lished between ma.icious code a.d a.tua. cla.sifica.ion by a.deep lea.ning model,thus opening up this bla.k-box pr.blem for.deeper.a.a.ysis.

关键词： ma.hine lea.ning ma.wa.e vision tr.0}sfor.er. Windows Pr.ta.le Executa.le(PE)