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An Improve. Convolutional Ne.ral Ne.work Model for DNA Classification

Compute.s, Mate.ials & Continua 2022年第3期70卷 5907-5927页

作者： Nag.aa.F.Soliman Samia M.Abd-Alhale. Walid el-Shafai Salah eldin S.e.Abdulrahman N.Ismaiel el-Saye. M.el-Rabaie.Abe.r D.Alg.rni Fathi e.Abd el-Samie De.artme.t of Information Te.hnolog. College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadhSaudi Arabia De.artme.t of ele.tronics and ele.trical Communications e.g.ne.ring Faculty of Electronic EngineeringMenoufia UniversityMenoufia32952Egypt De.artme.t of Compute. Scie.ce.and e.g.ne.ring Faculty of Electronic EngineeringMenoufia UniversityMenoufia32952Egypt

Re.e.tly,de.p le.rning.DL)be.ame.one.of the.e.se.tial tools in bioinformatics.A modifie. convolutional ne.ral ne.work(CNN)is e.ploye. in this pape. for building.an inte.0}ate.model for de.xyribonucle.c acid(DNA)*** any CNN model,convolutional laye.s are.use. to e.tract fe.ture. followe. by max-pooling.laye.s to re.uce.the.dime.sionality of fe.ture..A novel me.hod base. on downsampling.and CNNs is introduce. for fe.ture.*** downsampling.is an improve. form of the.e.isting.pooling.laye. to obtain be.te. classification *** two-dime.sional discre.e.transform(2D DT)and two-dime.sional random proje.tion(2D RP)me.hods are.applie. for *** conve.t the.hig.-dime.sional data to low-dime.sional data and transform the.data to the.most sig.ificant fe.ture.***,the.e.are.parame.e.s which dire.tly affe.t how a CNN model is *** this pape.,some.issue. conce.ne. with the.training.of CNNs have.be.n *** CNNs are.e.amine. by chang.ng.some.hype.parame.e.s such as the.le.rning.rate.size.of minibatch,and the.numbe. of *** and asse.sme.t of the.pe.formance.of CNNs are.carrie. out on 16S rRNA bacte.ial *** re.ults indicate.that the.utilization of a CNN base. on wavele. subsampling.yields the.be.t trade.off be.we.n proce.sing.time.and accuracy with a le.rning.rate.e.ual to 0.0001,a size.of minibatch e.ual to 64,and a numbe. of e.ochs e.ual to 20.

关键词： DNA classification CNN downsampling hype.parame.e.s DL 2D DT 2D RP

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Imple.e.ting.e.fe.tive.Le.rning.with Ubiquitous Le.rning.Te.hnolog. During.Coronavirus Pande.ic

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Compute. Syste.s Scie.ce.& e.g.ne.ring 2022年第1期40卷 389-404页

作者： Hosam F.el-Sofany Samir A.el-Se.ud King.Khalid Unive.sity AbhaKingdom of Saudi Arabia Cairo Hig.e. Institute.for e.g.ne.ring Computer Science and ManagementCairoEgypt British Unive.sity in e.0}pt—BUe Faculty of Informatics and Computer ScienceCairoEgypt

Ubiquitous computing.supports U-le.rning.to de.elop and imple.e.t a ne. e.ucational e.vironme.t that provide. e.fe.tive.and inte.active.le.rning.to stude.ts whe.e.e. the. *** study aims to pre.e.t a qualitative.e.aluation for using.U-le.rning.inste.d of traditional e.ucation to avoid the.spre.d of the.Coronavirus *** authors introduce.a UTAUT(Unifie. The.ry of Acce.tance.and Use.of Te.hnolog.)model to asse.s the.capability of the.g.ve. factors that are.e.pe.te. to affe.t the.le.rne.s’inte.tion and be.avior for acce.ting.the.U-le.rning.te.hnolog. for full *** re.e.rch study shows a promising.impact on the.use.of U-le.rning.apps for imple.e.ting.the.r le.rning.activitie. in both the.pre.e.t and coming.*** study also pre.e.ts the.de.criptive.statistics that affe.t the.stude.ts’answe.s by using.U-le.rning.while.imple.e.ting.le.rning.assig.me.ts including.e.ams,proje.ts,forums,e.says,pre.e.tations,and *** re.e.rch e.pe.ime.ts de.onstrate.both the.composite.reliability(CR)and the.ave.ag. variance.e.tracte.(AVe.of the.pre.e.te. *** e.pe.ime.tal re.ults have.shown that(1)the.factor loading.≥0.75,CR≥0.9,and AVe.0.75,which pre.e.t appropriate.proof for the.validity and reliability of the.propose. model,and(2)the.total ave.ag. of stude.ts that acce.t the.U-le.rning.is 82.99%,and who disag.e. is 8.13%,while.who ne.the. ag.e. nor disag.e. is 6.44%.

关键词： Ubiquitous le.rning U-le.rning e.le.rning M-le.rning COVID-19 pande.ic coronavirus UTAUT model

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Analysis of the.discre.e.contact characte.istics base. on the.g.e.nwood-Williamson model and the.localization principle

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Friction 2024年第5期12卷 1042-1056页

作者： Anastasiya A.YAKOVe.KO Irina g.g.RYACHe.A Ishlinsky Institute.for Proble.s in Me.hanics RAS Moscow119526Russia

The.contact of a rig.d body with nominally flat roug. surface.and an elastic half-space.is *** solve.the.contact proble.,the.g.e.nwood-Williamson statistical model and the.localization principle.are.*** de.elope. contact model allows us to inve.tig.te.the.surface.approach and the.re.l contact are. with taking.into account the.aspe.itie. *** is shown that the.mutual influe.ce.of aspe.itie. chang.s not only contact characte.istics at the.macroscale.but also the.contact pre.sure.distribution at the.*** follows from the.re.ults,the.inclusion in the.contact model of the.e.fe.t of the.mutual influe.ce.of aspe.itie. is e.pe.ially sig.ificant for studying.the.re.l contact are.,as well as the.contact characte.istics at hig. applie. *** re.ults calculate. according.to the.propose. approach are.in a g.od ag.e.me.t with the.e.pe.ime.tally obse.ve. e.fe.ts,i.e.,the.re.l contact are. saturation and the.additional compliance.e.haustion.

关键词： surface.roug.ne.s elasticity g.e.nwood-Williamson model localization principle aspe.ity inte.action

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Analysis of BrainMRI: AI-Assiste. He.lthcare.Frame.ork for the.Smart Citie.

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Intellig.nt Automation & Soft Computing 2023年第2期35卷 1843-1856页

作者： Walid el-Shafai Randa Ali Ahme. Se.ik Taha el-Saye. Taha Mohamme. Abd-elnaby Fathi e.Abd el-Samie De.artme.t ele.tronics and ele.trical Communications e.g.ne.ring Faculty of Electronic EngineeringMenoufia UniversityMenoufia32952Egypt De.artme.t of ROBOTICS and Intellig.nt Machine. Faculty of Artificial IntelligenceKafrelsheikh UniversityKafrelsheikhEgypt De.artme.t of Compute. e.g.ne.ring College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia

The.use.of intellig.nt machine. to work and re.ct like.humans is vital in e.e.g.ng.smart ***-aide. analysis of comple. and hug. MRI(Mag.ne.ic Re.onance.Imag.ng.scans is ve.y important in he.lthcare.*** AI(Artiﬁcial Intellig.nce.drive. he.lthcare.applications,tumor de.e.tion is one.of the.conte.porary re.e.rchﬁelds that have.be.ome.attractive.to *** are.se.e.al modalitie. of imag.ng.pe.forme. on the.brain for the.pur-pose.of tumor *** pape. offe.s a de.p le.rning.approach for de.e.ting.brain tumors from MR(Mag.e.ic Re.onance.imag.s base. on chang.s in the.division of the.training.and te.ting.data and the.structure.of the.CNN(Convolu-tional Ne.ral Ne.work)*** propose. approach is carrie. out on a brain tumor datase. from the.National Ce.tre.of Imag.-g.ide. The.apy,including.about 4700 MRI imag.s of te. brain tumor case. with both normal and abnormal *** datase. is divide. into te.t,and train subse.s with a ratio of the.training.se. to the.validation se. of 70:*** main contribution of this pape. is introdu-cing.an optimum de.p le.rning.structure.of CNN *** simulation re.ults are.obtaine. for 50 e.ochs in the.training.*** simulation re.ults re.e.l that the.optimum CNN archite.ture.consists of four laye.s.

关键词： He.lthcare smart citie. clinical automation CNN machine.le.rning brain tumor me.ical diag.osis

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Self-Trig.e.e. Se. Stabilization of Boole.n Control Ne.works and Its Applications

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Ie.e.CAA Journal of Automatica Sinica 2024年第7期11卷 1631-1642页

作者： Rong.Zhao Jun-e.Fe.g.Dawe. Zhang the.School of Mathe.atics Shandong UniversityShandong UniversityJinan 250100China

Se. stabilization is one.of the.e.se.tial proble.s in e.g.ne.ring.syste.s, and self-trig.e.e. control(STC) can save.the.storag. space.for inte.active.information, and can be.succe.sfully applie. in ne.worke. control syste.s with limite. communication re.ource.. In this study, the.se. stabilization proble. and STC de.ig. of Boole.n control ne.works are.inve.tig.te. via the.se.i-te.sor product te.hnique. On the.one.hand, the.larg.st control invariant subse. is calculate. in te.ms of the.strong.y conne.te. compone.ts of the.state.transition g.aph, by which a g.aph-the.re.ical condition for se. stabilization is de.ive.. On the.othe. hand, a characte.istic function is e.ploite. to de.e.mine.the.trig.e.ing.me.hanism and fe.sible.controls. Base. on this, the.minimum-time.and minimum-trig.e.ing.ope.-loop, state.fe.dback and output-fe.dback STCs for se. stabilization are.de.ig.e.,re.pe.tively. As classic applications of self-trig.e.e. se. stabilization, self-trig.e.e. synchronization, self-trig.e.e. output tracking.and self-trig.e.e. output re.0}lation are.discusse. as well. Additionally, se.e.al practical e.ample. are.g.ve. to illustrate.the.e.fe.tive.e.s of the.re.ical re.ults.

关键词： Boole.n control ne.works(BCNs) output re.0}lation self-trig.e.e. control se.i-te.sor product of matrice. se. stabilization synchronization

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Annual variation of adult survival of a south-te.pe.ate.House.Wre. population in Arg.ntina

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Avian Re.e.rch 2024年第2期15卷 229-237页

作者： g.stavo J.Fe.nande. Mariana e.Carro Paulo e.Llambías g.upo de.Inve.tig.cion e. e.ofisiolog.a de.Fauna Silve.tre INIBIOMA-CONICETAsentamiento Universitario San Martín de los Andes(AUSMA)Universidad Nacional Del ComahuePasaje de la Paz 235(8370)San Martín de los AndesNeuquenArgentina g.upo de.Inve.tig.cion de.Biolog.a de.Ave. IADIZA CCT-MendozaUniversidad Nacional de CuyoAvenida RuizLeal s/n Parque General San Martin5500MendozaArgentina

Ide.tifying.factors affe.ting.the.survival of individuals is e.se.tial for unde.standing.the.e.olution of life.history traits and population *** nume.ous studie. on this subje.t in north-te.pe.ate.e.vironme.ts,the.e.is a lack of e.uivale.t studie. at similar latitude. in the.***,we.use. a 14-ye.r datase. of capture.banding.and re.ig.ting.to e.timate.the.annual variation in the.appare.t adult survival probability of a south-te.pe.ate.population of House.Wre.s(Trog.odyte. ae.on bonariae..We.e.aluate. te.poral variation in sur-vival and the.e.fe.t of e.vironme.tal(climatic)and de.og.aphic variable.(adult abundance.total numbe. of fle.g.ing. produce. during.e.ch bre.ding.se.son)on survival *** found that the.probability of adult survival de.re.se. as the.abundance.of bre.ding.adults *** de.sity-de.e.de.t e.fe.t could be.relate. to the.re.ide.t life.tyle.of southe.n House.Wre.s,which could de.e.mine.an inte.se.compe.ition for te.ritorie. and re.ource. that ultimately would affe.t the.r survival.

关键词： Annual variation CJS De.sity-de.e.de.ce Survival Trog.odyte. ae.on bonariae

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e.ploring.unconve.tional attribute. of re. blood cells and the.r pote.tial applications in biome.icine

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Prote.n & Cell 2024年第5期15卷 315-330页

作者： Alkmini T.Anastasiadi Vasiliki-Zoi Arvaniti Krystalyn e.Hudson Anastasios g.Krie.ardis Constantinos Stathopoulos Ang.0}o D’Ale.sandro Ste.e. L.Spitalnik Vassilis L.Tzounakas De.artme.t of Bioche.istry School of MedicineUniversity of Patras26504 PatrasGreece De.artme.t of Patholog. and Cell Biolog. Columbia University Irving Medical CenterNew York CityNY 10032USA Laboratory of Reliability and Quality Control in Laboratory He.atolog.(He.QcR) Department of Biomedical SciencesSchool of Health&Caring SciencesUniversity of West Attica(UniWA)12243 EgaleoGreece De.artme.t of Bioche.istry and Mole.ular g.ne.ics University of Colorado Anschutz Medical Campus13001 AuroraCOUSA Pre.e.t addre.s:Institute.for Fundame.tal Biome.ical Re.e.rch(IFBR) Biomedical Sciences Research Center“Alexander Fleming”Vari11527 AthensGreece

We.ne.d to talk about re. blood *** cells are.de.ine. as cells containing.distinct nucle. and othe. me.branous ***,re. blood cells(RBCs)lack a nucle.s and org.nelle.—pe.haps to limit the.g.ne.ation of re.ctive.oxyg.n spe.ie.(Zhang.e. al.,2011)—and are.fille. with he.og.obin(Hb).This oxyg.n carrie. is limite. to the.cytosol by the.cell me.brane.and cytoskele.on,which maintain cellular inte.2}ity and de.ormability as RBCs pass throug. narrow capillarie.(g.atze.,1994)to pe.form the.r primary function of g.s e.chang..

关键词： me.branous maintain

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A Hybrid Se.urity Frame.ork for Me.ical Imag. Communication

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Compute.s, Mate.ials & Continua 2022年第11期73卷 2713-2730页

作者： Walid el-Shafai Hayam A.Abd el-Hame.d Ashraf A.M.Khalaf Nag.aa F.Soliman Amel A.Alhussan Fathi e.Abd el-Samie De.artme.t of ele.tronics and ele.trical Communications Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Se.urity e.g.ne.ring.Laboratory Department of Computer SciencePrince Sultan UniversityRiyadh11586Saudi Arabia ele.trical Communications e.g.ne.ring.De.artme.t Faculty of EngineeringMinia UniversityMinia61111Egypt De.artme.t of Information Te.hnolog. College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia De.artme.t of Compute. Scie.ce. College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadhSaudi Arabia

Authe.tication of the.dig.tal imag. has much atte.tion for the.dig.tal *** imag. authe.tication can be.ve.ifie. with imag. wate.marking.and imag. e.cryption *** sche.e. are.widely use. to prote.t imag.s ag.inst forg.ry attacks,and the. are.use.ul for prote.ting.copyrig.t and rig.tful *** on the.de.irable.applications,se.e.al imag. e.cryption and wate.marking.sche.e. have.be.n propose. to mode.ate.this *** frame.ork pre.e.ts a ne. sche.e.that combine. a Walsh Hadamard Transform(WHT)-base. imag. wate.marking.sche.e.with an imag. e.cryption sche.e.base. on Double.Random Phase.e.coding.DRPe..First,on the.se.de. side.the.se.re. me.ical imag. is e.crypte. using.*** the.e.crypte. imag. is wate.marking.base. on *** combination be.we.n wate.marking.and e.cryption incre.se. the.se.urity and robustne.s of transmitting.an *** pe.formance.e.aluation of the.propose. sche.e.is obtaine. by te.ting.Structural Similarity Inde.(SSIM),Pe.k Sig.al-to-Noise.Ratio(PSNR),Normalize. cross-correlation(NC),and Fe.ture.Similarity Inde.(FSIM).

关键词： Walsh hadamard transform wate.marking e.cryption double.random phase.e.coding structural similarity inde.

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On Some.Prope.tie. of g.aph of Pre.ix Code

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Journal of Applie. Mathe.atics and Physics 2024年第4期12卷 1571-1581页

作者： Nikolai I. Krainiukov Mikhail e. Abramyan Boris F. Melnikov Faculty of Computational Mathe.atics and Cybe.ne.ics Shenzhen MSU-BIT University Shenzhen China De.artme.t of Alg.bra and Discre.e.Mathe.atics Southern Federal University Rostov-on-Don Russian Federation

We.inve.tig.te.de.omposition of code. and finite.lang.ag.s. A prime.de.omposition is a de.omposition of a code.or lang.ag.s into a concate.ation of nontrivial prime.code. or lang.ag.s. A code.is prime.if it cannot be.de.ompose. into at le.st two nontrivial code. as the.same.for the.lang.ag.s. In the.pape., a line.r time.alg.rithm is de.ig.e., which finds the.prime.de.omposition. If code. or finite.lang.ag.s are.pre.e.te. as g.ve. by its minimal de.e.ministic automaton, the. from the.point of vie. of abstract alg.bra and g.aph the.ry, this automaton has spe.ial prope.tie.. The.study was conducte. using.syste. for computational Discre.e.Alg.bra g.P. .

关键词： Finite.Lang.ag.s Minimal De.e.ministic Automata Concate.ation Code. g.aph of Automaton Fre. Alg.bra

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Comparison of Se.i-Parame.ric Share. Frailty Models for Be.s’Survival

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Journal of Data Analysis and Information Proce.sing 2024年第2期12卷 267-288页

作者： Patie.ce.Isiaho Daisy Salifu Samuel Mwalili He.ri e. Z. Tonnang De.artme.t of Statistics and Actuarial Scie.ce. Jomo Kenyatta University of Agriculture and Technology Nairobi Kenya Data Manag.me.t Modelling and Geo-Information Unit International Centre of Insect Physiology and Ecology (ICIPE) Nairobi Kenya

Survival analysis is a fundame.tal tool in me.ical scie.ce.for time.to-e.e.t data. Howe.e., its application to colony org.nisms like.be.s pose. challe.g.s due.to the.r social nature. Traditional survival models may not accurately capture.the.inte.de.e.de.ce.among.individuals within a colony. Frailty models, accounting.for share. risks within g.oups, offe. a promising.alte.native. This study e.aluate. the.pe.formance.of se.i-parame.ric share. frailty models (g.mma, inve.se.normal, and positive.stable.in comparison to the.traditional Cox model using.be.s’ survival data). We.e.amine. the.e.fe.t of misspe.ification of the.frailty distribution on re.0}e.sion and he.e.og.ne.ty parame.e.s using.simulation and conclude. that the.he.e.og.ne.ty parame.e. was more.se.sitive.to misspe.ification of the.frailty distribution and choice.of initial parame.e.s (cluste. size.and true.he.e.og.ne.ty parame.e.) compare. to the.re.0}e.sion parame.e.. From the.data, parame.e. e.timate. for covariate. we.e.close.for the.four models but slig.tly hig.e. for the.Cox model. The.share. g.mma frailty model provide. a be.te. fit to the.data in comparison with the.othe. models. The.e.ore. whe. focusing.on re.0}e.sion parame.e.s, the.g.mma frailty model is re.omme.de.. This re.e.rch unde.score. the.importance.of tailore. survival me.hodolog.e. for accurately analyzing.time.to-e.e.t data in social org.nisms.

关键词： Correlate. Failure.Time. Frailty Survival Analysis Unobse.ve. He.e.og.ne.ty

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