Search results for "PREDICTION"

showing 10 items of 511 documents

Distributed spatial prediction for radio environment maps reconstruction in heterogeneous wireless networks

2017

Las previsiones indican que el tráfico de datos móviles se multiplicará por siete en el periodo de 2016 a 2021, creciendo con una tasa agregada anual del 47%. Para satisfacer esta demanda, tanto la industria como la academia se están centrando en las redes de quinta generación o 5G. Las redes 5G se espera que constituyan un entorno complejo e interconectado, que además proporciones múltiples servicios y aplicaciones a un número masivo de usuarios y máquinas. En este concepto se incluye la necesidad de dar soporte o de crear servicios para el paradigma conocido como el Internet de las Cosas (IoT), donde la visión es la de crear un entorno de todo conectado con todo en todo momento, con aplic…

distributed channel prediction:CIENCIAS TECNOLÓGICAS [UNESCO]krigingUNESCO::CIENCIAS TECNOLÓGICASradio environment mapsgaussian process regression
researchProduct

The spatial distribution of population exposure to outdoor air pollution in Valencia (Spain) and its association with a privation index

2013

Objetivo: Evaluar la variación espacial de la exposición a dióxido de nitrógeno (NO2) en la ciudad de Valencia y su relación con la privación socioeconómica y la edad. Métodos: La población por sección censal (SC) procede del Instituto Nacional de Estadística. Los niveles de NO2 se midieron en 100 puntos del área de estudio, mediante captadores pasivos, en tres campañas entre 2002 y 2004. Se utilizó regresión por usos del suelo (LUR) para obtener el mapa de los niveles de NO2. Las predicciones del LUR se compararon con las proporcionadas por: a) el captador más cercano de la red de vigilancia, b) el captador pasivo más cercano, c) el conjunto de captadores en un entorno y d) kriging. Se asi…

education.field_of_studyContaminación atmosféricaAir pollution exposurePopulationPublic Health Environmental and Occupational HealthAir pollutionLand use regressioncomplex mixturesDeprivation indexWorld healthGeographyUnit increasePrediction methodsPopulation dataCensus tractEnfermeríaPopulation exposureeducationDióxido de nitrógenoÍndice de privaciónDemographyExposición poblacionalNitrogen dioxide
researchProduct

Classification of EEG signals for prediction of epileptic seizures

2022

Epilepsy is a common brain disorder that causes patients to face multiple seizures in a single day. Around 65 million people are affected by epilepsy worldwide. Patients with focal epilepsy can be treated with surgery, whereas generalized epileptic seizures can be managed with medications. It has been noted that in more than 30% of cases, these medications fail to control epileptic seizures, resulting in accidents and limiting the patient’s life. Predicting epileptic seizures in such patients prior to the commencement of an oncoming seizure is critical so that the seizure can be treated with preventive medicines before it occurs. Electroencephalogram (EEG) signals of patients recorded to ob…

epilepsy prediction; electroencephalogram; deep learning; preictal state; postictal stateFluid Flow and Transfer ProcessesHealth-promotionIntelligent-systemsVDP::Teknologi: 500::Medisinsk teknologi: 620Process Chemistry and TechnologyGeneral EngineeringVDP::Medisinske Fag: 700General Materials ScienceInstrumentationComputer Science Applications
researchProduct

The optimal musical pause : the effects of expectancies, musical training, and personality

2016

The musical pause is an acoustic space between musical phrases, and is an important auditory quality because it can enhance tension by delaying the expected. It has been proposed that expectancies develop from long-term schematic knowledge learned through exposure; however, the dynamic attending theory indicates that expectancies arise from localized short-term knowledge found in the stimulus. This study aims to measure the optimal duration of the pause by assessing the influence of low-level musical features, long-term familiarity, musical ability, and personality. Musical excerpts were chosen from a variety of genres to include two phrases (separable by a silence), from which participants…

familiarityoppiminenshort-term memoryentrainmentmusiikkischematic learninghiljaisuussäilömuistimusical pauseprediction effecttyömuistilong-term memorysilencedynamic attending theoryexpectation
researchProduct

A Curvature Based Method for Blind Mesh Visual Quality Assessment Using a General Regression Neural Network

2016

International audience; No-reference quality assessment is a challenging issue due to the non-existence of any information related to the reference and the unknown distortion type. The main goal is to design a computational method to objectively predict the human perceived quality of a distorted mesh and deal with the practical situation when the reference is not available. In this work, we design a no reference method that relies on the general regression neural network (GRNN). Our network is trained using the mean curvature which is an important perceptual feature representing the visual aspect of a 3D mesh. Relatively to the human subjective scores, the trained network successfully asses…

feature learning[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingComputer sciencemedia_common.quotation_subjectFeature extractiondistorted meshGRNNmean curvature02 engineering and technologyMachine learningcomputer.software_genreCurvaturevisual aspect representation[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingDistortioncomputational method0202 electrical engineering electronic engineering information engineeringFeature (machine learning)computational geometrymean opinion scoresQuality (business)Polygon meshmedia_commonArtificial neural networkbusiness.industrycompetitive scores Author Keywords Blind mesh visual quality assessmentperceptual feature020207 software engineeringregression analysis INSPEC: Non-Controlled Indexing curvature based methodblind mesh visual quality assessmentno-reference quality assessmentvisual qualityVisualizationgeneral regression neural network traininggeneral regression neural networkmesh generationneural netssubject scoreshuman perceived quality predictionhuman subjective scores020201 artificial intelligence & image processinglearning (artificial intelligence)Artificial intelligencepredicted objective scoresbusiness3D meshcomputer
researchProduct

Predicting the age at natural menopause in middle-aged women

2021

Objective To predict the age at natural menopause (ANM). Methods Cox models with time-dependent covariates were utilized for ANM prediction using longitudinal data from 47 to 55-year-old women (n = 279) participating in the Estrogenic Regulation of Muscle Apoptosis study. The ANM was assessed retrospectively for 105 women using bleeding diaries. The predictors were chosen from the set of 32 covariates by using the lasso regression (model 1). Another easy-to-access model (model 2) was created by using a subset of 16 self-reported covariates. The predictive performance was quantified with c-indices and by studying the means and standard deviations of absolute errors (MAE ± SD) between the pre…

final menstrual periodelintavatvaihdevuodetAlcohol DrinkingGeneral MathematicsConcordancemedia_common.quotation_subjectkeski-ikäkuukautiset030209 endocrinology & metabolismOriginal Studies03 medical and health sciencesMenopause prediction0302 clinical medicineSex hormone-binding globulinCovariateHumansMedicineMenopausal transitiontilastolliset mallitSocioeconomic statusMenstrual CycleMenstrual cycleProportional Hazards ModelsRetrospective Studiesmedia_commonperimenopause030219 obstetrics & reproductive medicinebiologyVasomotorbusiness.industryProportional hazards modelpremenopause.Applied Mathematicsmenopausal transitionObstetrics and GynecologyennusteetMiddle AgedPerimenopausePremenopauseHormonal contraceptionbiology.proteinFinal menstrual periodFemaleMenopausebusinessmenopause predictionDemographyMenopause
researchProduct

ENTROPY PARAMETER ESTIMATION IN A HIGH-CURVATURE CHANNEL: EXPERIMENTAL INVESTIGATION IN A LABORATORY FLUME

2017

The entropy model developed by Chiu (1988) allows to correlate the mean velocity, um, and the maximum velocity, umax by means of a linear relationship, um, = Φ (M) umax, which depends on the entropy parameter, M, characteristic of the fluvial section. This formulation was tested on several natural streams with different hydraulic and geometric characteristics (Ammari et al. 2010, Moramarco et al., 2004; Moramarco and Termini, 2015). In this paper, attention is focused on the verification of the entropic relationship between the mean velocity and maximum velocity in the presence of the forcing action due to the variable channel curvature and for different values of the aspect ratio. The anal…

flow velocity prediction entropySettore ICAR/01 - Idraulica
researchProduct

Comparing various concepts of function prediction. Part 1.

1974

Prediction: f(m+1) is guessed from given f(0), ..., f(m). Program synthesis: a program computing f is guessed from given f(0), ..., f(m). The hypotheses are required to be correct for all sufficiently large m, or with some positive frequency. These approaches yield a hierarchy of function prediction and program synthesis concepts. The comparison problem of the concepts is solved.

function prediction:MATHEMATICS [Research Subject Categories]inductive inferenceprogram synthesis
researchProduct

On speeding up synthesis and prediction of functions

1974

function predictioninductive inferenceprogram synthesis
researchProduct

Observation of the rare B(s)(0) + decay from the combined analysis of CMS and LHCb data.

2015

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported licence.-- et al.

fundamental particleCompact Muon Solenoidstandard model flavor changing neutral currentsradioisotope decayB physicGaussian methodMU(+)MU(-)Temel Bilimler (SCI)rare decay [B/s0]Elementary particleATLAS DETECTOR12.15.MmÇOK DİSİPLİNLİ BİLİMLERRARE B-MESON DECAYS7000 GeV-cms8000 GeV-cmsSettore ING-INF/01 - Elettronica01 natural sciences7. Clean energyddc:0702 CHARGED LEPTONSscattering [p p]High energy physics ; Experimental particle physics ; LHC ; CMS ; Standard ModelQC[Anahtar Kelime Yok]Large Hadron ColliderMedicine (all); Multidisciplinarystandard3. Good healthHigh Energy Physics - PhenomenologyCERN LHC CollFIS/01 - FISICA SPERIMENTALEpriority journalHiggs bosonScience & Technology - Other TopicsPARTICLE PHYSICSmass spectrum [dimuon]Protonviolationcolliding beams [p p]physicschemical analyzerMesonModels beyond the standard modelprobabilitymesonelectromagnetic radiationB/s0 --> muon+ muon-Nuclear physicsbranching ratio: measured [B0]SEARCHLeptonic semileptonic and radiative decays of bottom mesonRARE B-MESON DECAYS; MINIMAL FLAVOR VIOLATION; LHC; CMS DETECTOR; LHCb DETECTOR; SEARCH; MU(+)MU(-); B-S(0); B-0;B-MESON DECAYS; MINIMAL FLAVOR VIOLATION; 2 CHARGED LEPTONS; ATLAS; DETECTOR; SEARCH; MU(+)MU(-); B-S(0); B-0; COLLIDER; PARTICLE010306 general physicsScience & TechnologyMuonMULTIDISCIPLINARY SCIENCES010308 nuclear & particles physicsBranching fractionMeson Bnull hypothesisDoğa Bilimleri GenelElementary particlesLARGE HADRON COLLIDERHEPp(p)over-bar collisionsNATURAL SCIENCES GENERALrare decay [B0]13.20.HeMINIMAL FLAVOR VIOLATIONchemical analysisprecisionB0 --> muon+ muon-Física de partículesExperimental particle physicsleptonic decay [B0]Physics::Instrumentation and DetectorsPhysics beyond the Standard ModelB-meson decays; p(p)over-bar collisions; branching fraction; root-s=1.96 tev; search; mu(+)mu(-); b-0; b-s(0); violation; modelsLarge Hadron Collider (LHC)High Energy Physics - ExperimentSettore FIS/04 - Fisica Nucleare e SubnucleareNeutral currentCOLLIDER[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]uncertainty12.60.-iFlavour Physicmass spectrometryPhysicsExperimental particleMultidisciplinaryCMSMedicine (all)Temel BilimlerSettore FIS/01 - Fisica SperimentaleB-meson decaysATLASLarge Hadron Collider beautybranching ratio: measured [B/s0]root-s=1.96 tevNatural Sciences (SCI)LHCNatural SciencesPARTICLEdata processingParticle Physics - Experimentchemical reactionParticle physicsbranching fractionNOPARTICLE PHYSICS; LARGE HADRON COLLIDER; CMS; LHCBmodelsLHCBExperimental particle; physics; data processing; electromagnetic field; electromagnetic radiation; fundamental particle; Gaussian method; physics; precision; chemical analysis; chemical analyzer; chemical reaction; elementary particle; Large Hadron Collider beauty; mass spectrometry; meson; null hypothesis; prediction; priority journal; probability; radioisotope decay; standard; uncertainty;B-MESON DECAYSelectromagnetic fieldTheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITYRare Decay0103 physical sciencesElectromagnetic fieldB-0elementary particleSDG 7 - Affordable and Clean EnergyDETECTORCompact Muon SolenoidMultidisipliner/dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energyLHCb DETECTORCMS LHC Meson B Rare DecayMinimal flavor violationpredictionLeptonsLHC-Bleptonic decay [B/s0]LHCbRare decayMedicine (all) MultidisciplinaryRARE B-MESON DECAYS; MINIMAL FLAVOR VIOLATION; LHC; CMS DETECTOR; LHCb DETECTOR; SEARCH; MU(+)MU(-); B-S(0); B-0B-S(0)[PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph]High Energy Physics::ExperimentExperimentsexperimental resultsCMS DETECTOR
researchProduct