Search results for "imagery"

showing 10 items of 204 documents

Alternative methods for strength development : the case of motor imagery and neuromuscular electrical stimulation

2020

An intense practice of resistance training, i.e. with heavy loads and a low number of repetitions, can cause injuries. To avoid them or limit detraining after an injury, alternative training methods have been developed. These methods have a double target since they also allow populations with different pathologies to practice a physical activity. This thesis focused particularly on the neuromuscular system and the mechanisms involved in strength development on plantar flexors muscles following motor imagery (MI), i.e. mental simulation of a movement without its concomitant motor output, and neuromuscular electrical stimulation (NMES), i.e. evoking contractions through electrical current app…

Imagerie motriceStimulation électrique neuromusculaireAdaptations nerveusesMotor imageryForce musculaireMuscle strength[SHS.EDU]Humanities and Social Sciences/EducationNeural adaptations[SHS.EDU] Humanities and Social Sciences/EducationNeuromuscular electrical stimulation
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Generating Hyperspectral Skin Cancer Imagery using Generative Adversarial Neural Network

2020

In this study we develop a proof of concept of using generative adversarial neural networks in hyperspectral skin cancer imagery production. Generative adversarial neural network is a neural network, where two neural networks compete. The generator tries to produce data that is similar to the measured data, and the discriminator tries to correctly classify the data as fake or real. This is a reinforcement learning model, where both models get reinforcement based on their performance. In the training of the discriminator we use data measured from skin cancer patients. The aim for the study is to develop a generator for augmenting hyperspectral skin cancer imagery. peerReviewed

Imagery PsychotherapySkin NeoplasmsComputer science0211 other engineering and technologiesComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologygenerative adversarial neural networksneuroverkotMachine learningcomputer.software_genre030218 nuclear medicine & medical imagingMachine Learningihosyöpä03 medical and health sciencesAdversarial system0302 clinical medicineHumansLearningReinforcement learning021101 geological & geomatics engineeringArtificial neural networkskin cancerbusiness.industryspektrikuvausHyperspectral imagingComputingMethodologies_PATTERNRECOGNITIONkuvantaminenNeural Networks ComputerArtificial intelligencebusinesscomputerGenerative grammarGenerator (mathematics)
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Immagini mentali, creatività e schizofrenia.

2011

Imagery mind Creativity Schizophrenia.Settore VET/01 - Anatomia Degli Animali DomesticiSettore BIO/06 - Anatomia Comparata E Citologia
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MODIS-Based Monthly LST Products over Amazonia under Different Cloud Mask Schemes

2016

One of the major problems in the monitoring of tropical rainforests using satellite imagery is their persistent cloud coverage. The use of daily observations derived from high temporal resolution sensors, such as Moderate Resolution Imaging Spectroradiometer (MODIS), could potentially help to mitigate this issue, increasing the number of clear-sky observations. However, the cloud contamination effect should be removed from these results in order to provide a reliable description of these forests. In this study the available MODIS Land Surface Temperature (LST) products have been reprocessed over the Amazon Basin (10 N–20 S, 80 W–45 W) by introducing different cloud masking schemes. The mont…

Information Systems and Management010504 meteorology & atmospheric sciencesLand surface temperatureAmazon rainforestbusiness.industry0211 other engineering and technologiesCloud computing02 engineering and technologyRainforest01 natural sciencesComputer Science ApplicationsSpatial ecologyHigh temporal resolutionEnvironmental scienceSatellite imageryModerate-resolution imaging spectroradiometerbusiness021101 geological & geomatics engineering0105 earth and related environmental sciencesInformation SystemsRemote sensingData
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Atmospheric correction of ENVISAT/MERIS data over inland waters: Validation for European lakes

2010

Traditional methods for aerosol retrieval and atmospheric correction of remote sensing data over water surfaces are based on the assumption of zero water reflectance in the near-infrared. Another type of approach which is becoming very popular in atmospheric correction over water is based on the simultaneous retrieval of atmospheric and water parameters through the inversion of coupled atmospheric and bio-optical water models. Both types of approaches may lead to substantial errors over optically-complex water bodies, such as case II waters, in which a wide range of temporal and spatial variations in the concentration of water constituents is expected. This causes the water reflectance in t…

Inland watersAtmospheric correction1903 Computers in Earth SciencesSoil ScienceGeologyInversion (meteorology)550 - Earth sciencesAerosolMERISAtmospheric correction10122 Institute of GeographyAerosol optical thicknessValidationWater modelEnvironmental scienceSpatial variabilitySatellite imageryWater qualityComputers in Earth Sciences910 Geography & travelSurface water1111 Soil Science1907 GeologyRemote sensing
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How the mind is easily hooked on musical imagery

2009

Recent studies show that nearly all people living in western societies are affected by involuntary musical imagery, or “earworms”. It has been suggested that prior exposure to music is an important predictor of this phenomenon. In comparison, cognitive psychologists use the concepts of recency (serial position) and the priming effect (brief exposure) to describe similar memory features. The aim of this study was to explore the dynamics of involuntary musical imagery in relation to these memory concepts. Two experiments and a novel experimental manipulation to induce the experience were designed to investigate the topic. The experiments utilized a modified musical image scanning task to cue …

Involuntary memorymemorymusical imagerypriming
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Seasonal Mapping of Irrigated Winter Wheat Traits in Argentina with a Hybrid Retrieval Workflow Using Sentinel-2 Imagery

2022

Earth observation offers an unprecedented opportunity to monitor intensively cultivated areas providing key support to assess fertilizer needs and crop water uptake. Routinely, vegetation traits mapping can help farmers to monitor plant development along the crop’s phenological cycle, which is particularly relevant for irrigated agricultural areas. The high spatial and temporal resolution of the Sentinel-2 (S2) multispectral instrument leverages the possibility to estimate leaf area index (LAI), canopy chlorophyll content (CCC), and vegetation water content (VWC) from space. Therefore, our study presents a hybrid retrieval workflow combining a physically-based strategy with a machine learni…

Leaf Area IndexVegetation Water and Chlorophyll ContentActive LearningContenido de Agua y Clorofila de la VegetaciónDimencionality ReductionÍndice de Superficie FoliarAprendizaje ActivoReducción de DimensionalidadKrigingImágenesHybrid Retrieval WorkflowFlujo de Trabajo de Recuperación HíbridoGeneral Earth and Planetary SciencesImageryleaf area index; vegetation water and chlorophyll content; Gaussian processes regression; hybrid retrieval workflow; dimensionality reduction; active learningKrigeageRemote Sensing
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Mental Images and School Learning: A Longitudinal Study on Children

2019

Recent literature have underlined the connections between children’s reading skills and capacity to create and use mental representations or mental images; furthermore data highlighted the involvement of visuospatial abilities both during math learning and during subsequent developmental phases in performing math tasks. The present research adopted a longitudinal design to assess whether the processes of mental imagery in preschoolers (ages 4–5 years) are predictive of mathematics skills, writing and reading, in the early years of primary school (ages 6–7 years). The research lasted for two school years; in the first phase, the general group of participants consisted of 100 children, and al…

Longitudinal studymedia_common.quotation_subjectschooleducationlcsh:BF1-990cognitive process050105 experimental psychologyDevelopmental psychology03 medical and health sciences0302 clinical medicinechildrenReading (process)Psychology0501 psychology and cognitive sciencesGeneral PsychologyOriginal Researchmedia_commonchildren; cognitive process; learning; mental imagery; schoolmental imagerylearning05 social sciencesCognitionlcsh:PsychologyMental representationPsychology030217 neurology & neurosurgeryReading skillsMental imageSchool learningFrontiers in Psychology
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Il Dioniso delle "Baccanti" e i "piegatori di pini". Polivalenza di un'immagine leggendaria

2021

This paper investigates the mythical and ritual background of Dionysus’ representation as “fir-bender” in Euripides’ "Bacchae" (ll. 1061 ff.), in an attempt to shed light not only on the dramaturgical aspects of the tragic plot, but also on the cultural categories that make this representation intelligible to the Athenian audience at the end of the fifth century BC. Following Louis Gernet’s historical-anthropological approach based on the notion of "polyvalence des images", this paper aims to define a mythical pattern – the connection between the bending of a tree and the dismemberment of a human victim – already attested in the Attic legend of Theseus and Sinis, in which both characters se…

Louis Gernet"bending the trees" in ancient GreeceEuripides' BacchaeSinihistorical anthropology of ancient Greecepolyvalence des imageroyal identityarboreal imagery in classical AthenDionysuTheseuordealSettore L-FIL-LET/02 - Lingua E Letteratura Greca
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Using optical satellite and aerial imagery for automatic coastline mapping

2020

The continuous availability and rapid accessibility to multispectral data from satellite platforms within the Copernicus Programme represents a great opportunity for users in different fields of applications as: Agriculture, observation of coastal zones, monitoring land cover change. The aim of this paper is to identify a suitable method to map coastline using Sentinel-2 optical satellite image. The method provides the use of two indexes developed in remote sensing field for water environment: NDWI (Normalized difference water index) and MNDWI (Modified Normalized difference water index). Starting from the construction of maps of these indexes and, identifying appropriate threshold values, …

MNDWIGeography Planning and DevelopmentNDWICliffs; Coastline; MNDWI; NDWI; Optical satellite images; Photogrammetry; Sentinel-2Aerial imageryCoastlineCliffsPhotogrammetryOptical satellite imagesSatelliteComputers in Earth SciencesSentinel-2Settore ICAR/06 - Topografia E CartografiaGeologyEarth-Surface ProcessesRemote sensing
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