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Expla.na.le Conformer Network for Detection of COVID-19 Pneumonia.from Ches. CT s.a.: From Concepts.towa.d Clinica. Expla.na.ility

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Computers. Ma.eria.s.& Continua 2024年第1期78卷 1171-1187页

作者： mohamed a.del-Ba.1}et Hos.a. Ha.a.1} mohamed a.ouha.wa.1} s.s.a.1}a. a.s.a.ma. a.Ta.ta.y Fa.ulty of Computers.a.d Informa.ics Zagazig UniversityZagazig44519Egypt Depa.tment of Computa.iona. Ma.hema.ics Scienceand Engineering(CMSE)Michigan State UniversityEast LansingMI48824USA Depa.tment of Ma.hema.ics Faculty of ScienceMansoura UniversityMansoura35516Egypt Depa.tment of s.a.is.ics.a.d Opera.ions.Res.a.ch College of ScienceKing Saud UniversityP.O.Box 2455Riyadh11451Saudi Arabia

The ea.ly implementa.ion of trea.ment thera.ies.neces.ita.es.the s.ift a.d precis. identifica.ion of COVID-19 pneumonia.by the a.a.ys.s.of ches. CT *** s.udy a.ms.to inves.iga.e the indis.ens.ble need for precis. a.d interpreta.le dia.nos.ic tools.for improving clinica. decis.on-ma.ing for COVID-19 *** pa.er propos.s.a.novel deep lea.ning a.proa.h,ca.led Conformer Network,for expla.na.le dis.rimina.ion of vira. pneumonia.depending on the lung Region of Infections.ROI)within a.s.ngle moda.ity ra.iogra.hic CT ***,a. efficient U-s.a.ed tra.s.ormer network is.integra.ed for lung ima.e ***,a.robus. tra.s.er lea.ning technique is.introduced to des.gn a.robus. fea.ure extra.tor ba.0}d on pre-tra.ned lightweight Big Tra.s.er(BiT-L)a.d finetuned on medica. da.a.to effectively lea.n the pa.terns.of infection in the input ***,this.work pres.nts.a.vis.a. expla.a.ion method to gua.a.tee clinica. expla.na.ility for decis.ons.ma.e by Conformer *** eva.ua.ion of rea.-world CT da.a.demons.ra.ed tha. the dia.nos.ic a.cura.y of ourmodel outperforms.cutting-edge s.udies.with s.a.is.ica. *** Conformer Network a.hieves.97.40% of detection a.cura.y under cros.-va.ida.ion *** model not only a.hieves.high s.ns.tivity a.d s.ecificity but a.s. a.fords.vis.a.iza.ions.of s.lient fea.ures.contributing to ea.h cla.0}ifica.ion decis.on,enha.cing the overa.l tra.s.a.ency a.d trus.worthines. of our *** findings.provide obvious.implica.ions.for the a.ility of our model to empower clinica. s.a.f by genera.ing tra.s.a.ent intuitions.a.out the fea.ures.driving dia.nos.ic decis.ons.

关键词： Deep lea.ning COVID-19 multi-moda. medica. ima.e fus.on dia.nos.ic ima.e fus.on

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Phenolic Profile a.d Vola.iles.of in vitro Propa.a.ed La.a.dula.a.gus.ifolia.***

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Phyton-Interna.iona. Journa. of Experimenta. Bota.y 2024年第3期93卷 427-444页

作者： Mir a.dulla.if Ya.ya.fatma Tuna.i Dilek Killi a.a.a. s.kmen Biotechnology Depa.tment Konya Food and Agriculture UniversityKonya42080Türkiye Pla.t Production a.d Technologies.Depa.tment Konya Food and Agriculture UniversityKonya42080Türkiye

a. effective in vitro propa.a.ion protocol wa.0}des.gned for La.a.dula.a.gus.ifolia.Miller,a.medicina. a.oma.ic pla.t tha. is.a.prominent s.urce of vola.ile orga.ic compounds.VOCs..Mura.0}ige a.d s.oog media.were s.pplemented with va.ious.concentra.ions.of Pla.t Growth Regula.ors.PGRs.,a.d the growth pa.a.eters.of the noda. s.gments.were *** expla.ts.formed ca.lus.when they were s.pplemented with 2 mg/L of 6-Benzyla.inopurine(Ba.).The s.perior hormona. concentra.ion of Mura.0}ige a.d s.oog(Ms.media.for the prolifera.ion of s.oots.from ca.lus.cultures.39.33%)wa.0}5 mg/L of 2-Is.pentenyl a.enine(2iP),a.d the fa.ora.le media.for the growth of *** ca.lus.cultures.wa.0}1 a.d 2 mg/L of Ba.,with a.98%for-ma.ion ra.e in ea.h *** ca.lus.cultures.a.d in vitro propa.a.ed *** s.edlings.obta.ned from va.-ious.PGR concentra.ions.of Ms.media.were expos.d to qua.ita.ive a.d qua.tita.ive a.a.ys.s.in terms.of phenolic proﬁles.ﬂa.onoids.High-performa.ce liquid chroma.ogra.hy(HPLC)a.a.ys.s.of phenolic a.ids.a.d hea.s.a.e-s.ME a.a.ys.s.for *** a.a.ys.s.revea.ed tha. micropropa.a.ed s.edlings.grown in media.conta.ning 1 mg/L of 6-Furfuryla.inopurine(KIN)a.cumula.ed the highes. yield(11.95±0.01 mg Ga./g)of phenolic *** contra.0},the lowes. concentra.ion(2.17±0.04 mg Ga./g)wa.0}detected in 0.5 mg/L of Ba.+0.5 mg/L of Na.htha.enea.etic a.id(Na.)*** pla.tlets.grown in 0.5 mg/L of Ba.+0.5 mg/L of Na. media.s.owed the highes.ﬂa.onoid yield(31.67±0.06μg/g QE/g).In contra.0},ca.lus.s.mples.exhibited the lowes. yield(11.59±0.02μg/g QE/g)ofﬂa.onoids.in Ms.media.s.pplemented with a.concentra.ion of 0.5 mg/L of *** a.a.ys.s.revea.ed the va.ia.ility of phenolic a.id contents.within the ca.lus.cultures.a.0}well a.0}pla.tlets.with ga.lic a.id,4-OH benzoic a.id,chlorogenic a.id,va.illic a.id,ca.feic a.id,cinna.ic a.id,a.d ros.a.inic a.id being the prominent *** pres.nce of twenty-two chemica.s.wa.0}revea.ed by hea.s.a.e-s.ME ***

关键词： La.ender indirect orga.ogenes.s micropropa.a.ion This

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Pa.tia. Cha.a.teriza.ion of Thrombin Inhibitor(s. Derived from s.liva.y Gla.ds.of the Tick, <i>Hya.omma.dromeda.ii</i>, a.d Rela.ed a.ti-Ca.cer Potentia.

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a.va.ces.in Entomology 2021年第1期9卷 1-19页

作者： Wes.a. s. Ibra.im fatma s. a. mohamed Wa.a. a. Mos.lhy Emtitha. M. a.del s.mie a.y Fa.my mohamed Zoology a.d Entomology Depa.tment Faculty of Science (Girls) Al-Azhar University Cairo Egypt Entomology Depa.tment Faculty of Science Cairo University Giza Egypt Egypt Center for Res.a.ch a.d Regenera.ive Medicine (ECRRM) Cairo Egypt Va.s.RA Giza Egypt

a.long-term blood feeder, like the Hya.omma.dromeda.ii tick, requires.extended control over a.l hemos.a.ic defens. mecha.is.s.genera.ed by the hos. during feeding, including blood coa.ula.ion. To overcome this. ticks.... 详细信息

a.long-term blood feeder, like the Hyalomma dromedarii tick, requires extended control over all hemostatic defense mechanisms generated by the host during feeding, including blood coagulation. To overcome this, ticks have evolved numerous molecules that target proteases in the blood coagulation cascade. New insights into the role of clotting factors in the development and progression of cancer have identified anticoagulant treatment as a potential therapeutic approach. In this context, the present work assessed the anticoagulation activities of crude and fractionated salivary gland extract (SGE) prepared from semi-fed H. dromedarii females. Additionally, the antitumor effects of the potent anti-thrombin fractions were determined against colon cancer (Caco-2) and normal skin (HFB4) cells. Crude SGE significantly prolonged clotting time in prothrombin time (PT), activated partial thromboplastin time (aPTT) and thrombin time (TT) assays and inhibited thrombin in FII-activity assay. Using anion-exchange chromatography, the fractions that strongly inhibited thrombin (3.A4 and 3.A5) were eluted. Both fractions prolonged the aPTT and TT clotting times and reduced the activity of FII significantly. The protein profiles of both fractions indicated the presence of a single polypeptide band of about 99 kDa. Regarding anti-cancer potential of the tested fractions, Caco-2 cells showed reduced viability with obvious morphological changes, induced apoptosis and a reduced level of vascular endothelial growth factor (VEGF). G2/M cell cycle arrest was observed only in 3.A5-treateds.a.> cells. No cytotoxic effects.were obs.rved in HFB4 cells. Thes. res.lts.demons.ra.ed the potentia. of tick-derived a.ticoa.ula.ts. s.ecifica.ly thrombin inhibitors. a.9}effective tools.in colorecta. ca.cer trea.ment. Further purifica.ion of the effector molecul

关键词： Hya.omma.dromeda.ii s.liva.y Gla.ds Thrombin Inhibitor a.optos.s VEGF

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a.va.cing Ea.ly Detection of Colorecta. a.enoma.ous.Polyps.via.Genetic Da.a.a.a.ys.s. a.Hybrid Ma.hine Lea.ning a.proa.h

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Journa. of Computer a.d Communica.ions 2024年第7期12卷 23-38页

作者： a.med s. Ma.la. mohamed a. Ma.dy a.er Ma.ki Noboru Niki a.da.la. a. mohamed Computer s.ience Depa.tment College of Computer Science and Engineering in Yanbu Taibah University Medina Saudi Arabia Informa.ion s.s.ems.Depa.tment Faculty of Computers and Artificial Intelligence Beni-Suef University Beni-Suif Egypt Computer s.ience Depa.tment Faculty of Computers and Artificial Intelligence Beni-Suef University Beni-Suif Egypt Ins.itute of a.va.ced s.ience a.d Technology Tokushima University Tokushima Japan Informa.ion s.s.ems.Depa.tment College of Computer Science and Engineering in Yanbu Taibah University Medina Saudi Arabia Ma.hema.ics.a.d Computer s.ience Depa.tment Faculty of Science Menoufia University Menoufia Egypt

In this.s.udy, a.hybrid ma.hine lea.ning (HML)-ba.0}d a.proa.h, incorpora.ing Genetic da.a.a.a.ys.s.(GDa., is.propos.d to a.cura.ely identify the pres.nce of a.enoma.ous.colorecta. polyps.(a.RP) which is.a.crucia. ea.ly detector of colorecta. ca.cer (CRC). The pres.nt s.udy develops.a.cla.0}ifica.ion ens.mble model ba.0}d on tuned hyperpa.a.eters. s.rpa.0}ing a.cura.y percenta.es.of ea.ly detection a.proa.hes.us.d in previous.s.udies. the current method exhibits.exceptiona. performa.ce in identifying a.RP a.d dia.nos.ng CRC, overcoming limita.ions.of CRC tra.itiona. methods.tha. a.e ba.0}d on error-prone ma.ua. exa.ina.ion. Pa.ticula.ly, the method demons.ra.es.the following CRP identifica.ion a.cura.y da.a. 97.7 ± 1.1, precis.on: 94.3 ± 5, reca.l: 96.0 ± 3, F1-s.ore: 95.7 ± 4, s.ecificity: 97.3 ± 1.2, a.era.e a.C: 0.97.3 ± 0.02, a.d a.era.e p-va.ue: 0.0425 ± 0.07. The findings.unders.ore the potentia. of this.method for ea.ly detection of a.RP a.0}well a.0}clinica. us. in the development of CRC trea.ment pla.ning s.ra.egies. The a.va.ta.es.of this.a.proa.h a.e highly expected to contribute to the prevention a.d reduction of CRC morta.ity.

关键词： Colorecta. a.enoma.Detection Colorecta. Ca.cer Dia.nos.s Hybrid Ma.hine Lea.ning Genetics.a.a.ys.s

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Pa.ticle s.a.m Optimiza.ion-Ba.0}d Hyperpa.a.eters.Tuning of Ma.hine Lea.ning Models.for Big COVID-19 Da.a.a.a.ys.s

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Journa. of Computer a.d Communica.ions 2024年第3期12卷 160-183页

作者： Hend s. s.lem mohamed a. Mea. Gha.a.s. El-Ta.eel Depa.tment of Computer s.iences Suez Canal University Ismailia Egypt

a.a.yzing big da.a. es.ecia.ly medica. da.a. helps.to provide good hea.th ca.e to pa.ients.a.d fa.e the ris.s.of dea.h. The COVID-19 pa.demic ha.0}ha. a.s.gnifica.t impa.t on public hea.th worldwide, empha.0}zing the need for effective ris. prediction models. Ma.hine lea.ning (ML) techniques.ha.e s.own promis. in a.a.yzing complex da.a.pa.terns.a.d predicting dis.a.0} outcomes. The a.cura.y of thes. techniques.is.grea.ly a.fected by cha.ging their pa.a.eters. Hyperpa.a.eter optimiza.ion pla.s.a.crucia. role in improving model performa.ce. In this.work, the Pa.ticle s.a.m Optimiza.ion (Ps.) a.gorithm wa.0}us.d to effectively s.a.ch the hyperpa.a.eter s.a.e a.d improve the predictive power of the ma.hine lea.ning models.by identifying the optima. hyperpa.a.eters.tha. ca. provide the highes. a.cura.y. a.da.a.0}t with a.va.iety of clinica. a.d epidemiologica. cha.a.teris.ics.linked to COVID-19 ca.0}s.wa.0}us.d in this.s.udy. Va.ious.ma.hine lea.ning models. including Ra.dom Fores.s. Decis.on Trees. s.pport Vector Ma.hines. a.d Neura. Networks. were utilized to ca.ture the complex rela.ions.ips.pres.nt in the da.a. To eva.ua.e the predictive performa.ce of the models. the a.cura.y metric wa.0}employed. The experimenta. findings.s.owed tha. the s.gges.ed method of es.ima.ing COVID-19 ris. is.effective. When compa.ed to ba.0}line models. the optimized ma.hine lea.ning models.performed better a.d produced better res.lts.

关键词： Big COVID-19 Da.a Ma.hine Lea.ning Hyperpa.a.eter Optimiza.ion Pa.ticle s.a.m Optimiza.ion Computa.iona. Intelligence

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Nitrogen minera.iza.ion in the oldes. clima. communities.in the ea.0}ern Mediterra.ea. region

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Journa. of Fores.ry Res.a.ch 2024年第1期35卷 213-228页

作者： fatma s.lcen s.ka. Gürca. Güleryüz Depa.tment of Biology Section Ecology GörükleGraduate School of Natural and Applied ScienceUniversity of Bursa Uludağ16059 NilüferBursaTurkey Depa.tment of Biology Section Ecology GörükleFaculty of Science and ArtsUniversity of Bursa Uludağ16059 NilüferBursaTurkey

In this.s.udy,we inves.iga.ed how tree s.ecies.a.fect N minera.iza.ion in connection to s.me s.il properties.a.d s.conder meta.olite levels.of litter,in the s.il of the old-es. na.ive fores. *** the oldes. pure communi-ties.of Pinus.nigra.PN),Fa.us.orienta.is.FO),a.d a.ies.bornmuelleria.a.a.)in the mounta.n ra.ge of Mount Uluda.,Burs.,Turkey,a.nua. net yield a.d N minera.iza.tion in the 0-5-a.d 5-20-cm s.il la.ers.were determined in a.field incuba.ion s.udy over 1 *** loca.ions.were chos.n from 1300 to 1600 m a.s.l.,a.d mois.ure content(%),pH,wa.er-holding ca.a.ity(%),orga.ic C,tota. N,a.d C/N ra.io,a.d a.nua. net minera. N yield of the s.il a.d hydro-lyzed ta.nic a.id a.d tota. phenolic compounds.in litter were compa.ed for thes. fores. *** ha. the highes. a.nua. net Nmin yield(43.9±4.8 kg ha.(-1) a.(-1)),*** the lowes.(30.5±4.2 kg ha.(-1) a.(-1)).Our findings.s.ow tha. in the oldes. fores. ecos.s.ems.the s.a.0}na. s.il mois.ure content a.d tree s.ecies.pla. a. es.entia. role in N cycling a.d tha. hydrolyzed ta.nic a.ids.a.d tota. phenolic compounds.effectively control N *** a.id a.d tota. phenolics.in the litter were found to inhibit nitrifica.ion,but tota. phenolics.were found to s.imula.e a.monifica.ion.

关键词： Oldes. fores. communities Nitrogen minera.iza.ion Nitrifica.ion Ta.nic a.id Tota. phenolic Litter

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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： a.i s.a.gha.di mohamed a.Zohdy s.a. 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.0}ic 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.0}ic *** 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.va.ida.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.0}ng 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.0}zing 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.0}a.vers.tile 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.0}ic renewa.le energy s.urces ga.s.ia.-ba.e-bones.levy cheeta. optimizer electrica. network optimiza.ion ca.bon ta. optimiza.ion

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Compa.a.ive s.udy between three ca.bona.eous.na.obla.es.a.d na.oda.ts.for a.timicrobia. a.plica.ions

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Journa. of Environmenta. s.iences 2024年第2期136卷 594-605页

作者： mohamed s.s.lim a.med M.a.za. mohamed a.s.ena.1}en s.ima. a.Higa.y Ba.a.my B.Mos.a.a.s.erif a.El-s.fty Na.iona. Ins.itute for Ma.eria.s.s.ience(NIMs. 1-2-1 SengenTsukuba-ShiIbaraki-Ken 305-0047Japan Petroleum a.plica.ion Depa.tment Egyptian Petroleum Research InstituteNasr City 11727Egypt Depa.tment of Environmenta. Res.a.ch Theodor Bilharz Research InstituteGizaEgypt

The des.gn of na.os.ructured ma.eria.s.occupies.a.privileged pos.tion in the development a.d ma.a.ement of a.forda.le a.d effective technology in the a.tiba.teria. ***,we dis.us. the a.timicrobia. properties.of three ca.bona.eous.na.obla.es.a.d na.oda.ts.ma.eria.s.of gra.hene oxide(GO),reduced gra.hene oxide(RGO),a.d s.ngle-wa.l ca.bon na.otubes.s.CNTs.tha. ha.e a.mecha.o-ba.tericida. effect,a.d the a.ility to piercing or s.icing ba.teria. *** demons.ra.e the s.gnifica.ce of s.ze,morphology a.d compos.tion on the a.tiba.teria. a.tivity mecha.is.,the des.gned na.oma.eria.s.ha.e been *** minimum inhibitory concentra.ion(MIC),s.a.da.d a.a. well diffus.on,a.d tra.s.is.ion electron micros.opy were utilized to eva.ua.e the a.tiba.teria. a.tivity of GO,RGO,a.d *** on the evidence obta.ned,the three ca.bona.eous.ma.eria.s.exhibit a.tivity a.a.ns. a.l microbia. s.ra.ns.tes.ed by completely enca.s.la.ing ba.teria. cells.a.d ca.s.ng morphologica. dis.uption by degra.ing the microbia. cell membra.e in the order of RGO>GO>*** of the externa. cell wa.l s.ructure a.d outer membra.e proteins.the s.nthes.zed ca.bona.eous.na.oma.eria.s.exhibited higher a.tiba.teria. a.tivity a.a.ns. Gra.-pos.tive ba.teria. s.ra.ns.tha. Gra.-nega.ive a.d funga. *** ha. the lowes. MIC va.ues.0.062,0.125,a.d 0.25 mg/mL a.a.ns. ***,***,a.d ***,res.ectively),a.0}well a.0}minimum funga. concentra.ions.0.5 mg/mL for both *** a.d ***).a. 12 hr,the cell via.ility va.ues.a.a.ns. tes.ed microbia. s.ra.ns.were completely *** lys.s.a.d dea.h occurred a.0}a.res.lt of s.vere membra.e da.a.e ca.s.d by microorga.is.s.perched on RGO *** work gives.a. ins.ght into the des.gn of effective gra.hene-ba.0}d a.timicrobia. ma.eria.s.for wa.er trea.ment a.d remedia.ion.

关键词： a.timicrobia. properties Na.obla.es Mecha.o-ba.tericida. effect RGO na.os.eets Gra.-pos.tive ba.teria Cell via.ility

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CNN Cha.nel a.tention Intrus.on Detection s.s.emUs.ng Ns.-KDD Da.a.0}t

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Computers. Ma.eria.s.& Continua 2024年第6期79卷 4319-4347页

作者： fatma s.a.ra.es.Moha.med Za.a.ia. s.ed Uma. a.in Za.a. Iqba. Kha. Jeha. s.a. a.qurni Informa.ion s.s.ems.Depa.tment College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia College of Computer a.d Informa.ion s.iences King Saud UniversityRiyadh11362Saudi Arabia College of Computer a.d Informa.ion s.iences Prince Sultan UniversityRiyadh11586Saudi Arabia Depa.tment of Educa.iona. Technologies College of EducationImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia

Intrus.on detection s.s.ems.IDs.a.e es.entia. in the field of cybers.curity beca.s. they protect networks.from a.wide ra.ge of online *** goa. of this.res.a.ch is.to meet the urgent need for s.a.l-footprint,highly-a.a.ta.le Network Intrus.on Detection s.s.ems.NIDs.tha. ca. identify *** Ns.-KDD da.a.0}t is.us.d in the s.udy;it is.a.s.za.le collection compris.ng 43 va.ia.les.with the la.el’s.a.ta.k”a.d“level.”It propos.s.a.novel a.proa.h to intrus.on detection ba.0}d on the combina.ion of cha.nel a.tention a.d convolutiona. neura. networks.CNN).Furthermore,this.da.a.0}t ma.es.it ea.0}er to conduct a.thorough a.0}es.ment of the s.gges.ed intrus.on detection ***,ma.nta.ning opera.ing efficiency while improving detection a.cura.y is.the prima.y goa. of this.***,typica. NIDs.exa.ines.both ris.y a.d typica. beha.ior us.ng a.va.iety of *** the Ns.-KDD da.a.0}t,our CNN-ba.0}d a.proa.h a.hieves.a. a.0}ounding 99.728%a.cura.y ra.e when pa.red with cha.nel *** to previous.a.proa.hes.s.ch a.0}ens.mble lea.ning,CNN,RBM(Boltzma.n ma.hine),a.N,hybrid a.to-encoders.with CNN,MCNN,a.d a.N,a.d a.a.tive a.gorithms.our s.lution s.gnifica.tly improves.intrus.on detection ***,the res.lts.highlight the effectivenes. of our s.gges.ed method in improving intrus.on detection precis.on,s.gnifying a.noteworthy a.va.cement in this.*** efforts.will focus.on s.rengthening a.d expa.ding our a.proa.h in order to countera.t growing cyberthrea.s.a.d a.jus. to cha.ging network circums.a.ces.

关键词： Intrus.on detection s.s.em(IDs. Ns.-KDD da.a.0}t deep-lea.ning ma.hine-lea.ning CNN cha.nel a.tention network s.curity

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Exploring s.quentia. Fea.ure s.lection in Deep Bi-Ls.M Models.for s.eech Emotion Recognition

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Computers. Ma.eria.s.& Continua 2024年第2期78卷 2689-2719页

作者： fatma Ha.by Ma.s.r a.oha.i a.el Tha.ja.ui a.ira.s.my Ta.a.t Computer s.ience Depa.tment Future Academy-Higher Future Institute for Specialized Technological StudiesCairo12622Egypt Depa.tment of Computer s.ience a.d Informa.ion College of s.ience a. Zulfi Majmaah UniversityP.O.Box 66Al-Majmaah11952Saudi Arabia Prepa.a.ory Ins.itute for Engineering s.udies.of Ga.s. ZarrougGafsa2112Tunisia Computers.a.d s.s.ems.Depa.tment Electronics Research InstituteCairo12622Egypt

Ma.hine Lea.ning(ML)a.gorithms.pla. a.pivota. role in s.eech Emotion Recognition(s.R),a.though they encounter a.formida.le obs.a.le in a.cura.ely dis.erning a.s.ea.er’s.emotiona. *** exa.ina.ion of the emotiona. s.a.es.of s.ea.ers.holds.s.gnifica.t importa.ce in a.ra.ge of rea.-time a.plica.ions.including but not limited to virtua. rea.ity,huma.-robot intera.tion,emergency centers.a.d huma. beha.ior *** identifying emotions.in the s.R proces. relies.on extra.ting releva.t informa.ion from a.dio *** s.udies.on s.R ha.e predomina.tly utilized s.ort-time cha.a.teris.ics.s.ch a.0}Mel Frequency Ceps.ra. Coefficients.MFCCs.due to their a.ility to ca.ture the periodic na.ure of a.dio s.gna.s.*** thes. tra.ts.ma. improve their a.ility to perceive a.d interpret emotiona. depictions.a.propria.ely,MFCCs.ha.0}s.me *** this.s.udy a.ms.to ta.kle the a.orementioned is.ue by s.s.ema.ica.ly picking multiple a.dio cues.enha.cing the cla.0}ifier model’s.effica.y in a.cura.ely dis.erning huma. *** utilized da.a.0}t is.ta.en from the EMO-DB da.a.a.0},preproces.ing input s.eech is.done us.ng a.2D Convolution Neura. Network(CNN)involves.a.plying convolutiona. opera.ions.to s.ectrogra.s.a.0}they a.ford a.vis.a. repres.nta.ion of the wa. the a.dio s.gna. frequency content cha.ges.over *** next s.ep is.the s.ectrogra. da.a.norma.iza.ion which is.crucia. for Neura. Network(NN)tra.ning a.0}it a.ds.in fa.0}er *** the five a.ditory fea.ures.MFCCs.Chroma.Mel-s.ectrogra.,Contra.0},a.d Tonnetz a.e extra.ted from the s.ectrogra. *** a.titude of fea.ure s.lection is.to reta.n only domina.t fea.ures.by excluding the irreleva.t *** this.pa.er,the s.quentia. Forwa.d s.lection(s.s.a.d s.quentia. Ba.kwa.d s.lection(s.s.techniques.were employed for multiple a.dio cues.fea.ures.***,the fea.ure s.ts.compos.d from the hybrid fea.ure extra.tion methods.a.e fed into the deep Bidirectiona. Long s.ort

关键词： a.tificia. intelligence a.plica.ion multi fea.ures s.quentia. s.lection s.eech emotion recognition deep Bi-Ls.M

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