Search results for " adab."

showing 3 items of 3 documents

Penalized linear discriminant analysis and Discrete AdaBoost to distinguish human hair metal profiles: The case of adolescents residing near Mt. Etna

2016

The research focus of the present paper was twofold. First, we tried to document that human intake of trace elements is influenced by geological factors of the place of residence. Second, we showed that the elemental composition of human hair is a useful screening tool for assessing people's exposure to potentially toxic substances. For this purpose, we used samples of human hair from adolescents and applied two robust statistical approaches. Samples from two distinct geological and environmental sites were collected: the first one was characterized by the presence of the active volcano Mt. Etna (ETNA group) and the second one lithologically made up of sedimentary rocks (SIC group). Chemica…

MaleEnvironmental EngineeringAdolescent010504 meteorology & atmospheric sciencesHealth Toxicology and MutagenesisStatistical analysiMineralogy010501 environmental sciences01 natural sciencesEnvironmental riskHumansArea of residenceEnvironmental ChemistryScreening toolAdaBoostChildPenalized linear discriminant analysis and Discrete AdaBoost0105 earth and related environmental sciencesElemental compositionDecision TreesHair analysisChemistry (all)Public Health Environmental and Occupational HealthMetal profiles in human scalp hairDiscriminant AnalysisChemical dataGeneral MedicineGeneral ChemistryLinear discriminant analysisPollutionSettore GEO/08 - Geochimica E VulcanologiaItalyMetalsBiomonitoringTrace elementEnvironmental PollutantsFemaleMetals and metalloids risk assessmentSettore SECS-S/01 - StatisticaGeologyHair
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A Comparative Study on Feature Selection for Retinal Vessel Segmentation Using FABC

2009

This paper presents a comparative study on five feature selection heuristics applied to a retinal image database called DRIVE. Features are chosen from a feature vector (encoding local information, but as well information from structures and shapes available in the image) constructed for each pixel in the field of view (FOV) of the image. After selecting the most discriminatory features, an AdaBoost classifier is applied for training. The results of classifications are used to compare the effectiveness of the five feature selection methods.

PixelSettore INF/01 - InformaticaComputer sciencebusiness.industryFeature vectorRetinal images vessel segmentation AdaBoost classifier feature selection.ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionFeature selectionFeature (computer vision)SegmentationComputer visionArtificial intelligenceHeuristicsbusinessFeature detection (computer vision)
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'Ulamā' e istituzioni a Damasco all'epoca della fondazione delle madāris ahliyya (xix-xx secolo).

2017

Despite a certain western look tending to consider overall the group of 'ulamā' as "misoneist" (that is to say "hostile to any innovation"), the relationship of the 'ālim with the institutional sphere in late-Ottoman Damascus gives evidence of a more complex role from a social as well as cultural perspective which takes into account the changes introduced by modernity. The considerable impoverishment of culture - with particular regard to those institutions mainly appointed to education in an Arab-Islamic context - following the general process of reform in the Arab provinces of the Ottoman Empire - drives many 'ulamā' to re-consider their position, through a recovery of the past, on the on…

Settore L-OR/10 - Storia Dei Paesi Islamici'Ulamā' Damascus hadīth madāris ahliyya adab.
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