Search results for "GiST"

showing 10 items of 3463 documents

Comparison of machine learning models for gully erosion susceptibility mapping

2020

© 2019 China University of Geosciences (Beijing) and Peking University Gully erosion is a disruptive phenomenon which extensively affects the Iranian territory, especially in the Northern provinces. A number of studies have been recently undertaken to study this process and to predict it over space and ultimately, in a broader national effort, to limit its negative effects on local communities. We focused on the Bastam watershed where 9.3% of its surface is currently affected by gullying. Machine learning algorithms are currently under the magnifying glass across the geomorphological community for their high predictive ability. However, unlike the bivariate statistical models, their structu…

Watershed010504 meteorology & atmospheric sciencesComputer scienceBivariate analysisLogistic model tree model010502 geochemistry & geophysicsMachine learningcomputer.software_genre01 natural sciencesLogistic model treeNatural hazardEntropy (information theory)Oil erosion0105 earth and related environmental sciencesbusiness.industrylcsh:QE1-996.5Statistical modelGISlcsh:GeologyITC-ISI-JOURNAL-ARTICLEGeneral Earth and Planetary SciencesAlternating decision treeAlternating decision tree modelArtificial intelligenceITC-GOLDbusinesscomputerDecision tree modelGeoscience Frontiers
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Digital Technologies for Transport and Mobility: Challenges, Trends and Perspectives

2020

This white paper aims at presenting the ideas emerging from the different fields pertaining to transport and mobility, to describe the capacities of current state-of-the-art digital technologies and the perspectives that are expected to shape the future of transport and mobility.

White paperComputer sciencebusiness.industryLogisticSurface transportLogisticsAeronautics and aviationCurrent (fluid)Cyber securityTelecommunicationsbusinessAeronautics and aviation; Cyber security; Logistics; Surface transport
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Cancer risk among residents of Rhineland-Palatinate winegrowing communities: a cancer-registry based ecological study

2008

Abstract Aim To investigate the cancer risk among residents of Rhineland-Palatinate winegrowing communities in an ecological study. Methods On the basis of the Rhineland-Palatinate cancer-registry, we calculated age-adjusted incidence rate ratios for communities with a medium area under wine cultivation (>5 to 20 percent) and a large area under wine cultivation (>20 percent) in comparison with communities with a small area under wine cultivation (>0 to 5 percent). In a side analysis, standardized cancer incidence ratios (SIR) were computed separately for winegrowing communities with small, medium and large area under wine cultivation using estimated German incidence rates as refere…

Winemedicine.medical_specialtyPathologyBladder cancerbusiness.industryPublic healthResearchPublic Health Environmental and Occupational HealthEcological studymedicine.diseaseToxicologyCancer registryProstate cancerlcsh:RC963-969medicinelcsh:Industrial medicine. Industrial hygieneSkin cancerbusinessLung cancerSafety ResearchDemographyJournal of Occupational Medicine and Toxicology (London, England)
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Change and stability: Within-person life satisfaction over a 20-year period using data from the HUNT survey

2020

Background: The aim of the present study was to investigate within-person life satisfaction (LS) dynamics for two age groups, 20–29 and 30–39 years, from 1984 to 1986 and to follow them over a 20-year period. Methods: Data from 1984 to 2008 were extracted from the large, prospective, longitudinal North-Trøndelag Health Study (HUNT), Norway. This paper includes data from more than 14,500 persons. Data were analysed using logistic regression, and LS dynamics were modelled using gender, time and self-rated health. Results: The analyses revealed that about 20% of people in these age groups had a stable level in LS, also known as set point. Long-term LS change, defined as ⩾2 SDs, was reported f…

Within personcohortsStability (learning theory)Personal Satisfaction03 medical and health sciences0302 clinical medicine0504 sociologyAge groupsWithin-person life satisfactionlife satisfaction dynamicswell-beingSurveys and QuestionnairesHumansProspective Studies030212 general & internal medicineNorway05 social sciencesPublic Health Environmental and Occupational Health050401 social sciences methodsLife satisfactionage groupsGeneral MedicineSet pointPeer reviewLogistic ModelsVDP::Medisinske Fag: 700::Helsefag: 800::Sykepleievitenskap: 808Changes in self-rated health and life satisfaction: Evidence from the HUNT surveyWell-beingQuality of LifePsychologyset pointPeriod (music)DemographyScandinavian Journal of Public Health
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New Technologies and Purchase Behaviour. An Analysis of the Determinant Variables in M-Shopping.

2009

Despite of the growing importance of mobile shopping in a lot of countries, there is still a lack of research work in this field. This paper aims to make an approximation of the M-shopper profile and identify the variables influencing purchase behaviour. Findings obtained from a representative sample of 2,343 Spanish Internet users show that the M-shopping decision can be predicted according to consumer age and experience as Internet user and shopper.

Work (electrical)Emerging technologiesbusiness.industryField (Bourdieu)AdvertisingThe InternetInternet usersbusinessLogistic regressionConsumer behaviourSSRN Electronic Journal
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Nell'occhio di chi guarda. Scrittori e registi di fronte all'immagine

2014

Curatela e introduzione, con Massimo Fusillo e Gianluigi Simonetti, di un volume che assembla ventisette saggi di scrittori e registi, ognuno dedicato alla descrizione, nelle forme più varie, di immagini di diverso tipo. Editing and introduction, with Massimo Fusillo and Gianluigi Simonetti, of a book collectingt twenty seven essays by writers and directors, dedicated, in various forms, to the description of different kinds of images.

Writers Directors Images.Settore L-FIL-LET/14 - Critica Letteraria E Letterature ComparateScrittori- Registi-Immagini
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Parental and Familial Factors Influencing Physical Activity Levels in Early Adolescence: A Prospective Study

2020

Parental/familial factors are important determinants of the physical activity level (PAL) in children and adolescents, but studies rarely prospectively evaluate their relationships. This study aimed to evaluate the changes in physical activity levels among adolescents from Bosnia and Herzegovina over a two-year period and to determine parental/familial predictors of PAL in early adolescence. A total of 651 participants (50.3% females) were tested at baseline (beginning of high school education

Younger ageLeadership and ManagementEarly adolescencePhysical activitylcsh:Medicinephysical activityHealth InformaticsLogistic regressionArticle03 medical and health sciences0302 clinical medicineHealth Information Managementphysical activity ; parental factor ; adolescents ; gender differencesMedicine030212 general & internal medicineadolescentsProspective cohort studySocioeconomic statusSchool educationbusiness.industryHealth Policylcsh:R030229 sport sciencesparental factorhumanitiesPhysical activity levelgender differencesbusinessDemographyHealthcare
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Land Recht des Hertzogthumbs Curland und Semgallen

1901

Zemes tiesības - Kurzemes un Zemgales hercogiste:HUMANITIES and RELIGION::History and philosophy subjects::History subjects [Research Subject Categories]Lettland - GeschichteLandrechte - Herzogtum Kurland und SemgallenLandtāgsLandtagKurzemes un Zemgales hercogiste - vēstureHerzogtum Kurland und Semgallen - GeschichteLatvijas vēsture
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Latvijas Vēstures Institūta Žurnāls. 2009, Nr. 3 (72)

2009

Zvejas sezonalitāte akmens laikmetāKaradarbība Kurzemes hercogistē:HUMANITIES and RELIGION::History and philosophy subjects::Archaeology subjects [Research Subject Categories]:HUMANITIES and RELIGION::History and philosophy subjects::History subjects [Research Subject Categories]RecenzijasPirmā valsts domeZinātnes dzīveDaugavas lībiešu tirdzniecības inventārsVēstures avotiRihards Zariņš
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Analysis of Low-Altitude Aerial Sequences for Road Traffic Diagnosis using Graph Partitioning and Markov Hierarchical Models

2016

International audience; This article focuses on an original approach aiming the processing of low-altitude aerial sequences taken from an helicopter (or drone) and presenting a road traffic. Proposed system attempts to extract vehicles from acquired sequences. Our approach begins with detecting the primitives of sequence images. At the time of this step of segmentation, the system computes dominant motion for each pair of images. This motion is computed using wavelets analysis on optical flow equation and robust techniques. Interesting areas (areas not affected by the dominant motion) are detected thanks to a Markov hierarchical model. Primitives stemming from segmentation and interesting a…

[ INFO.INFO-MO ] Computer Science [cs]/Modeling and SimulationComputer scienceOptical flowTraffic-MonitoringHierarchical database model[ SPI.GCIV.IT ] Engineering Sciences [physics]/Civil Engineering/Infrastructures de transport[SPI.GCIV.IT]Engineering Sciences [physics]/Civil Engineering/Infrastructures de transportWavelet0502 economics and businessSegmentationComputer vision050210 logistics & transportationImage segmentationMarkov chainPerceptual Organizationbusiness.industry05 social sciencesGraph partition[SPI.GCIV.IT] Engineering Sciences [physics]/Civil Engineering/Infrastructures de transportPattern recognitionImage segmentationScene Analysis[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation[SPI.TRON] Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/ElectronicsGraph PartitioningGraph (abstract data type)Artificial intelligenceMarkov Hierarchical Models[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulationbusiness
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