Search results for "88"

showing 10 items of 638 documents

DeepEva: A deep neural network architecture for assessing sentence complexity in Italian and English languages

2021

Abstract Automatic Text Complexity Evaluation (ATE) is a research field that aims at creating new methodologies to make autonomous the process of the text complexity evaluation, that is the study of the text-linguistic features (e.g., lexical, syntactical, morphological) to measure the grade of comprehensibility of a text. ATE can affect positively several different contexts such as Finance, Health, and Education. Moreover, it can support the research on Automatic Text Simplification (ATS), a research area that deals with the study of new methods for transforming a text by changing its lexicon and structure to meet specific reader needs. In this paper, we illustrate an ATE approach named De…

Artificial intelligenceComputer engineering. Computer hardwareText simplificationComputer scienceText simplificationcomputer.software_genreLexiconAutomatic-text-complexity-evaluationDeep-learningField (computer science)TK7885-7895Automatic text copmplexity evaluationText-complexity-assessmentText complexity assessmentStructure (mathematical logic)Settore INF/01 - InformaticaText-simplificationbusiness.industryDeep learningNatural language processingNatural-language-processingDeep learningGeneral MedicineQA75.5-76.95Artificial-intelligenceSupport vector machineElectronic computers. Computer scienceGradient boostingArtificial intelligencebusinesscomputerSentenceNatural language processingArray
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Multi-layer intrusion detection system with ExtraTrees feature selection, extreme learning machine ensemble, and softmax aggregation

2019

Abstract Recent advances in intrusion detection systems based on machine learning have indeed outperformed other techniques, but struggle with detecting multiple classes of attacks with high accuracy. We propose a method that works in three stages. First, the ExtraTrees classifier is used to select relevant features for each type of attack individually for each (ELM). Then, an ensemble of ELMs is used to detect each type of attack separately. Finally, the results of all ELMs are combined using a softmax layer to refine the results and increase the accuracy further. The intuition behind our system is that multi-class classification is quite difficult compared to binary classification. So, we…

Artificial intelligencelcsh:Computer engineering. Computer hardwareExtreme learning machineEnsemble methodsComputer scienceBinary numberlcsh:TK7885-7895Feature selection02 engineering and technologyIntrusion detection systemlcsh:QA75.5-76.95Machine learning0202 electrical engineering electronic engineering information engineeringVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Multi layerExtreme learning machinebusiness.industryIntrusion detection system020206 networking & telecommunicationsPattern recognitionComputer Science ApplicationsBinary classificationFeature selectionSignal ProcessingSoftmax function020201 artificial intelligence & image processinglcsh:Electronic computers. Computer scienceArtificial intelligencebusinessClassifier (UML)EURASIP Journal on Information Security
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"Table 14" of "Measurements of the line shape of the Z0 and determination of electroweak parameters from its hadronic and leptonic decays"

1994

MU+ MU- forward-backward asymmetries from the 1990 data set, derived by counting the number of muons in the forward-backward hemispheres, corrected to full solid angle but not for cuts on momenta and accollinearity. Additional systematic error 0.005.

Asymmetry MeasurementE+ E- --> MU+ MU-E+ E- --> Z0E+ E- ScatteringExclusiveHigh Energy Physics::ExperimentMuon production88.221-94.2ASYM
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"Table 16" of "Measurements of the line shape of the Z0 and determination of electroweak parameters from its hadronic and leptonic decays"

1994

MU+ MU- forward-backward asymmetries from the 1990 data set, derived from a maximum likelihood fit to the angular distributions, corrected to full solid angle but not for cuts on momenta and accollinearity. Additional systematic error 0.005.

Asymmetry MeasurementE+ E- --> MU+ MU-E+ E- --> Z0E+ E- ScatteringExclusiveMuon production88.221-94.2ASYM
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"Table 5" of "Measurement of electroweak parameters from Z decays into Fermion pairs"

1990

No description provided.

Asymmetry MeasurementE+ E- --> MU+ MU-E+ E- --> Z0E+ E- ScatteringIntegrated Cross SectionExclusive88.227-94.278Cross SectionSIGMuon productionASYM
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"Table 24" of "Measurements of the line shape of the Z0 and determination of electroweak parameters from its hadronic and leptonic decays"

1994

LEPTON+ LEPTON- forward-backward asymmetries from the 1990 data set. Data are corrected for t-channel subtraction, and to full solid angle but not for momenta and accollinearity cuts. Additional systematic uncertainty, excluding luminosity, is 0.005.

Asymmetry MeasurementE+ E- --> Z0E+ E- ScatteringHigh Energy Physics::PhenomenologyExclusive88.223-94.218High Energy Physics::ExperimentE+ E- --> LEPTON+ LEPTON-ASYM
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"Table 7" of "Measurement of electroweak parameters from Z decays into Fermion pairs"

1990

No description provided.

Asymmetry MeasurementE+ E- --> Z0E+ E- ScatteringIntegrated Cross SectionExclusiveE+ E- --> LEPTON+ LEPTON-88.227-94.278Cross SectionSIGASYM
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Habla el Presidente

1937

Baix la fotografia de Manuel Azaña es llig el text del discurs; la idea central és que el fonamental són els soldats que mantenen la República

Azaña Manuel 1880-1940 Discursos Cartells
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Measurement of polarization amplitudes and CP asymmetries in B 0 → Φk *(892)0

2014

An angular analysis of the decay $B^0 \to \phi K^*(892)^0$ is reported based on a $pp$ collision data sample, corresponding to an integrated luminosity of 1.0 fb$^{-1}$, collected at a centre-of-mass energy of $\sqrt{s} = 7$ TeV with the LHCb detector. The P-wave amplitudes and phases are measured with a greater precision than by previous experiments, and confirm about equal amounts of longitudinal and transverse polarization. The S-wave $K^+ \pi^-$ and $K^+K^-$ contributions are taken into account and found to be significant. A comparison of the $B^0 \to \phi K^*(892)^0$ and $\bar{B}^0 \to \phi \bar{K}^*(892)^0$ results shows no evidence for direct CP violation in the rate asymmetry, in th…

B physic12.15.MmB physicsLuminosityHigh Energy Physics - ExperimentSettore FIS/04 - Fisica Nucleare e SubnucleareNeutral current13.88.+ePolarization[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]TOOLmedia_commonPhysicsPhysicsPHYSICS PARTICLES & FIELDSParticle physicsCharge conjugation parity time reversal and other discrete symmetriePolarization (waves)Transverse planeAmplitudeCP violationPhysical SciencesCP violationFísica nuclearLHCParticle Physics - ExperimentParticle physicsNuclear and High Energy Physicsmedia_common.quotation_subject14.40.NdFlavour Changing Neutral CurrentsLHCb - Abteilung HofmannHadronsAsymmetryDECAYSHadronic decays of bottom mesonDISTRIBUTIONSLarge Hadron Collider (France and Switzerland)B physics; CP violation; Flavour Changing Neutral Currents; Hadron-Hadron Scattering; Polarization; Nuclear and High Energy PhysicsScience & TechnologyFlavour Changing Neutral CurrentHadron-Hadron ScatteringB physics; CP violation; Flavour Changing Neutral Currents; Hadron-Hadron Scattering; PolarizationGran Col·lisionador d'HadronsLHCb13.25.HwBottom mesons (|B|>0)11.30.ErHigh Energy Physics::ExperimentFísica de partículesExperimentsPolarization in interactions and scatteringEnergy (signal processing)Bar (unit)
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Assessing the impacts of marine protected areas on wrasse populations in Norway

2020

Master's thesis in Coastal ecology (BIO501)

BIO501VDP::Landbruks- og Fiskerifag: 900::Fiskerifag: 920 VDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480::Økologi: 488
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