Search results for "dolo"

showing 10 items of 4274 documents

Estimation of hydrodynamic properties of a sandy-loam soil by two analysis methods of single-ring infiltration data

2022

Abstract Beerkan infiltration runs could provide an incomplete description of infiltration with reference to either the near steady-state or the transient stages. In particular, the process could still be in the transient stage at the end of the run or some transient infiltration data might be loss. The Wu1 method and the BEST-steady algorithm can be applied to derive soil hydrodynamic parameters even under these circumstances. Therefore, a soil dataset could be developed using two different data analysis methods. The hypothesis that the Wu1 method and BEST-steady yield similar predictions of the soil parameters when they are applied to the same infiltration curve was tested in this investi…

Data analysis methodSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliBeerkan infiltration runWu1 methodBEST methodologySoil hydrodynamic propertieJournal of Hydrology and Hydromechanics
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A new fast and fault-tolerant identification algorithm for spectral databases

1995

A new method for an automatic, computer and database driven identification of UV/VIS spectra is described. It is shown that an identification algorithm must consider the spectral differences as well as their common features. The described identification method allows identifications, even if the spectra are distorted or shifted.

Data processingDatabaseComputer sciencePattern analysisFault toleranceVis spectraFuzzy control systemcomputer.software_genreBiochemistrySpectral lineAnalyse qualitativeAnalytical ChemistryIdentification (information)ComputingMethodologies_PATTERNRECOGNITIONcomputerAlgorithmAnalytical and Bioanalytical Chemistry
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Additional file 3 of Exploring why global health needs are unmet by research efforts: the potential influences of geography, industry and publication…

2020

Additional file 3. Correspondence Table ICD-10 – MeSH.

Data_FILESComputingMethodologies_COMPUTERGRAPHICS
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Additional file 5 of Low awareness and common misconceptions about schistosomiasis in endemic lowland areas in Western Ethiopia: a mixed-methods study

2021

Additional file 5: Supplementary file 5 Authors’ information.pdf

Data_FILESComputingMethodologies_DOCUMENTANDTEXTPROCESSING
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Additional file 1 of Low awareness and common misconceptions about schistosomiasis in endemic lowland areas in Western Ethiopia: a mixed-methods study

2021

Additional file 1: Supplementary file 1 In-depth interviews guide.pdf

Data_FILESComputingMethodologies_DOCUMENTANDTEXTPROCESSING
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Additional file 2 of Low awareness and common misconceptions about schistosomiasis in endemic lowland areas in Western Ethiopia: a mixed-methods study

2021

Additional file 2: Supplementary file 2 Focused Group Discussions (FGD) guide.pdf

Data_FILESComputingMethodologies_DOCUMENTANDTEXTPROCESSING
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Storm

2003

We present Storm, a storage system which unifies the desktop and the public network, making Web links between desktop documents more practical. Storm assigns each document a permanent unique URI when it is created. Using peer-to-peer technology, we can locate documents even though our URIs do not include location information. Links continue to work unchanged when documents are emailed or published on the network. We have extended KDE to understand Storm URIs. Other systems such as GNU Emacs are able to use Storm through an HTTP gateway.

DatabaseComputer sciencebusiness.industryComputerApplications_COMPUTERSINOTHERSYSTEMSStormGateway (computer program)Peer-to-peercomputer.software_genrePublic networkWorld Wide WebComputer data storageComputingMethodologies_DOCUMENTANDTEXTPROCESSINGbusinesscomputerProceedings of the fourteenth ACM conference on Hypertext and hypermedia
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FABC: Retinal Vessel Segmentation Using AdaBoost

2010

This paper presents a method for automated vessel segmentation in retinal images. For each pixel in the field of view of the image, a 41-D feature vector is constructed, encoding information on the local intensity structure, spatial properties, and geometry at multiple scales. An AdaBoost classifier is trained on 789 914 gold standard examples of vessel and nonvessel pixels, then used for classifying previously unseen images. The algorithm was tested on the public digital retinal images for vessel extraction (DRIVE) set, frequently used in the literature and consisting of 40 manually labeled images with gold standard. Results were compared experimentally with those of eight algorithms as we…

Databases FactualComputer scienceFeature vectorFeature extractionNormal DistributionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processingModels BiologicalEdge detectionArtificial IntelligenceImage Processing Computer-AssistedHumansSegmentationComputer visionAdaBoostFluorescein AngiographyElectrical and Electronic EngineeringTraining setPixelContextual image classificationSettore INF/01 - Informaticabusiness.industryReproducibility of ResultsRetinal VesselsWavelet transformBayes TheoremPattern recognitionGeneral MedicineImage segmentationComputer Science ApplicationsComputingMethodologies_PATTERNRECOGNITIONROC CurveTest setAdaBoost classifier retinal images vessel segmentationArtificial intelligencebusinessAlgorithmsBiotechnology
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Optical calibration of a multispectral imaging system based on interference filters

2005

We present a new approach to optically calibrate a multispectral imaging system based on interference filters. Such a system typically suffers from some blurring of its channel images. Because the effectiveness of spectrum reconstruction depends heavily on the quality of the acquired channel images, and because this blurring negatively affects them, a method for deblurring and denoising them is required. The blur is modeled as a uniform intensity distribution within a circular disk. It allows us to characterize, quantitatively, the degradation for each channel image. In terms of global reduction of the blur, it consists of the choice of the best channel for the focus adjustment according to…

DeblurringComputer sciencebusiness.industryNoise reductionWiener filterMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONGeneral EngineeringImage processingReal imageAtomic and Molecular Physics and OpticsMultispectral pattern recognitionsymbols.namesakeComputer Science::GraphicsInterference (communication)Computer Science::Computer Vision and Pattern RecognitionsymbolsComputer visionArtificial intelligenceOptical filterFocus (optics)businessImage restorationOptical Engineering
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Iterative Symmetry Detection: Shrinking vs. Decimating Patterns

2005

This paper introduces a new mechanism that consists of applying a symmetry operator on an iteratively transformed version of the input image. The nature of the transformation characterizes the operator. Here, we consider the Object Symmetry Transform combined with the morphological operator erosion and the pyramid decimation respectively. The derived operators have been applied on both binary and gray levels images, comparing their ability to grasp the internal structure of a digital object. We present some experiments to evaluate their performances and check them for result quality versus computing complexity.

Decimationbusiness.industryGRASPComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONMathematical morphologyErosion (morphology)Computer Science ApplicationsTheoretical Computer ScienceTransformation (function)Operator (computer programming)Computational Theory and MathematicsArtificial IntelligenceComputer visionArtificial intelligencePyramid (image processing)Symmetry (geometry)businessAlgorithmSoftwareMathematics
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