Search results for " neural networks"

showing 10 items of 390 documents

Neural Networks in ECG Classification

2011

In this chapter, we review the vast field of application of artificial neural networks in cardiac pathology discrimination based on electrocardiographic signals. We discuss advantages and drawbacks of neural and adaptive systems in cardiovascular medicine and catch a glimpse of forthcoming developments in machine learning models for the real clinical environment. Some problems are identified in the learning tasks of beat detection, feature selection/extraction, and classification, and some proposals and suggestions are given to alleviate the problems of interpretability, overfitting, and adaptation. These have become important problems in recent years and will surely constitute the basis of…

Physical neural networkComputingMethodologies_PATTERNRECOGNITIONArtificial neural networkbusiness.industryComputer scienceTime delay neural networkAdaptive systemArtificial intelligenceTypes of artificial neural networksbusiness
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Electromagnetic behaviour of superconductive amorphous metals

2005

The penetration depth of the magnetic field into an amorphous superconductor is calculated. The ratio of the London penetration depth δL to the electron free path le under zero temperature is above unity for almost all amorphous metals. That is why pure metals, in a superconducting state, change from type I superconductors to type II superconductors during the crystalline–amorphous transition.

SuperconductivityMaterials scienceAmorphous metalCondensed matter physicsMean free pathLondon penetration depthCondensed Matter PhysicsCondensed Matter::Disordered Systems and Neural NetworksAmorphous solidCondensed Matter::Materials ScienceMeissner effectCondensed Matter::SuperconductivityGeneral Materials SciencePenetration depthType-II superconductorJournal of Physics: Condensed Matter
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Statistical properties of the eigenvalue spectrum of the three-dimensional Anderson Hamiltonian

1993

A method to describe the metal-insulator transition (MIT) in disordered systems is presented. For this purpose the statistical properties of the eigenvalue spectrum of the Anderson Hamiltonian are considered. As the MIT corresponds to the transition between chaotic and nonchaotic behavior, it can be expected that the random matrix theory enables a qualitative description of the phase transition. We show that it is possible to determine the critical disorder in this way. In the thermodynamic limit the critical point behavior separates two different regimes: one for the metallic side and one for the insulating side.

PhysicsPhase transitionCritical phenomenaCondensed Matter::Disordered Systems and Neural Networkssymbols.namesakeCritical point (thermodynamics)Thermodynamic limitsymbolsCondensed Matter::Strongly Correlated ElectronsStatistical physicsHamiltonian (quantum mechanics)Random matrixAnderson impurity modelEigenvalues and eigenvectorsPhysical Review B
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Effect of mixing and spatial dimension on the glass transition

2009

We study the influence of composition changes on the glass transition of binary hard disc and hard sphere mixtures in the framework of mode coupling theory. We derive a general expression for the slope of a glass transition line. Applied to the binary mixture in the low concentration limits, this new method allows a fast prediction of some properties of the glass transition lines. The glass transition diagram we find for binary hard discs strongly resembles the random close packing diagram. Compared to 3D from previous studies, the extension of the glass regime due to mixing is much more pronounced in 2D where plasticization only sets in at larger size disparities. For small size disparitie…

Materials sciencepacs:82.70.DdCondensed matter physicsStatistical Mechanics (cond-mat.stat-mech)business.industryDiagramRandom close packBinary numberFOS: Physical sciencesCondensed Matter - Soft Condensed MatterCondensed Matter::Disordered Systems and Neural NetworksCondensed Matter::Soft Condensed MatterOpticsPhase (matter)Mode couplingSoft Condensed Matter (cond-mat.soft)ddc:530Glass transitionbusinesspacs:64.70.Q-Mixing (physics)Condensed Matter - Statistical Mechanicspacs:64.70.PLine (formation)
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UV-Photoinduced Defects In Ge-Doped Optical Fibers

2005

We investigated the effect of continuous-wave (cw) UV laser radiation on single-mode Ge-doped H2- loaded optical fibers. An innovative technique was developed to measure the optical absorption (OA) induced in the samples by irradiation, and to study its dependence from laser fluence. The combined use of the electron spin resonance (ESR) technique allowed the structural identification of several radiation-induced point defects, among which the Ge(1) (GeO4 -) is found to be responsible of induced OA in the investigated spectral region.

Condensed Matter - Materials ScienceMaterials scienceOptical fiberbusiness.industryDopingMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesDisordered Systems and Neural Networks (cond-mat.dis-nn)RadiationCondensed Matter - Disordered Systems and Neural NetworksFluenceCrystallographic defectoptical fibers radiation effects radiation-induced attenuationlaw.inventionlawOptoelectronicsIrradiationAbsorption (electromagnetic radiation)businessElectron paramagnetic resonance
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Photochemical generation of E' centres from Si-H in amorphous SiO2 under pulsed ultraviolet laser radiation

2007

In situ optical absorption spectroscopy was used to study the generation of E' centres in amorphous SiO_2 occurring by photo-induced breaking of Si-H groups under 4.7eV pulsed laser radiation. The dependence from laser intensity of the defect generation rate is consistent with a two-photon mechanism for Si-H rupture, while the growth and the saturation of the defects are conditioned by their concurrent annealing due to reaction with mobile hydrogen arising from the same precursor. A rate equation is proposed to model the kinetics of the defects and tested on experimental data.

Condensed Matter - Materials ScienceMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural Networks
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Recent Advances in Complex Networks Theories with Applications

2014

Genetics and Molecular Biology (all)Dynamic network analysisArticle SubjectComputer sciencelcsh:MedicineNetwork sciencelcsh:TechnologyBiochemistryGeneral Biochemistry Genetics and Molecular BiologyTheoreticalModelsHuman dynamicsHumanslcsh:ScienceGeneral Environmental ScienceCognitive science2300lcsh:TInterdependent networksbusiness.industryMedicine (all)lcsh:RGeneral MedicineModels TheoreticalNeural Networks (Computer)Complex networkNetwork dynamicsEditorialEvolving networksHumans; Models Theoretical; Neural Networks (Computer); Medicine (all); Biochemistry Genetics and Molecular Biology (all); 2300lcsh:QNeural Networks ComputerArtificial intelligenceHierarchical network modelbusinessThe Scientific World Journal
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Dynamical coexistence in moderately polydisperse hard-sphere glasses

2020

We perform extensive numerical simulations of a paradigmatic model glass former, the hard-sphere fluid with 10% polydispersity. We sample from the ensemble of trajectories with fixed observation time, whereby single trajectories are generated by event-driven molecular dynamics. We show that these trajectories can be characterized in terms of the local structure, and we find a dynamical-structural (active-inactive) phase transition between two dynamical phases: one dominated by liquidlike trajectories with a low degree of local order and one dominated by glassylike trajectories with a high degree of local order. We show that both phases coexist and are separated by a spatiotemporal interface…

PhysicsPhase transition010304 chemical physicsStatistical Mechanics (cond-mat.stat-mech)General Physics and AstronomyFOS: Physical sciencesDisordered Systems and Neural Networks (cond-mat.dis-nn)Renormalization groupCondensed Matter - Disordered Systems and Neural NetworksComputational Physics (physics.comp-ph)010402 general chemistryScaling theory01 natural sciencesLocal structureDirected percolation0104 chemical sciencesMolecular dynamicsCritical point (thermodynamics)0103 physical sciencesStatistical physicsPhysical and Theoretical ChemistryScalingPhysics - Computational PhysicsCondensed Matter - Statistical Mechanics
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Isoelectronic series of oxygen deficient centers in silica: experimental estimation of homogeneous and inhomogeneous spectral widths

2008

We report nanosecond time-resolved photoluminescence measurements on the isoelectronic series of oxygen deficient centers in amorphous silica related to silicon, germanium and tin atoms, which are responsible of fluorescence activities at approximately 4 eV under excitation at approximately 5 eV. The dependence of the first moment of their emission band on time and that of the radiative decay lifetime on emission energy are analyzed within a theoretical model able to describe the effects introduced by disorder on the optical properties of the defects. We obtain separate estimates of the homogeneous and inhomogeneous contributions to the measured emission line width, and we derive homogeneou…

PhotoluminescenceMaterials scienceOscillator strengthTemperatureFOS: Physical sciencesSilicaElectronsDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksNanosecondSilicon DioxideMolecular physicsCrystallographic defectOxygen Deficient CenterOxygenLaser linewidthMolecular vibrationAtomLuminescent MeasurementsInhomogeneous Spectral WidthPhysical and Theoretical ChemistryExcitation
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Digital information receiver based on stochastic resonance

2003

International audience; An electronic receiver based on stochastic resonance is presented to rescue subthreshold modulated digital data. In real experiment, it is shown that a complete data restoration is achieved for both uniform and Gaussian white noise.

Complete data[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingComputer scienceStochastic resonance[ PHYS.COND.CM-DS-NN ] Physics [physics]/Condensed Matter [cond-mat]/Disordered Systems and Neural Networks [cond-mat.dis-nn]Digital dataNonlinear signal processing[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing01 natural sciences010305 fluids & plasmas[NLIN.NLIN-PS]Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS][INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0103 physical sciencesElectronic engineering[ NLIN.NLIN-PS ] Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS][PHYS.COND.CM-DS-NN]Physics [physics]/Condensed Matter [cond-mat]/Disordered Systems and Neural Networks [cond-mat.dis-nn]stochastic resonance010306 general physicsEngineering (miscellaneous)Subthreshold conductionbusiness.industryApplied MathematicsWhite noise[SPI.TRON]Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/ElectronicsNonlinear systemModeling and SimulationNonlinear dynamicsTelecommunicationsbusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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