Search results for "Hierarchical classification"

showing 4 items of 4 documents

Human experts vs. machines in taxa recognition

2020

The step of expert taxa recognition currently slows down the response time of many bioassessments. Shifting to quicker and cheaper state-of-the-art machine learning approaches is still met with expert scepticism towards the ability and logic of machines. In our study, we investigate both the differences in accuracy and in the identification logic of taxonomic experts and machines. We propose a systematic approach utilizing deep Convolutional Neural Nets with the transfer learning paradigm and extensively evaluate it over a multi-pose taxonomic dataset with hierarchical labels specifically created for this comparison. We also study the prediction accuracy on different ranks of taxonomic hier…

FOS: Computer and information sciencesComputer Science - Machine Learninghahmontunnistus (tietotekniikka)Computer scienceClassification approachTaxonomic expert02 engineering and technologyneuroverkotcomputer.software_genreConvolutional neural networkQuantitative Biology - Quantitative MethodsField (computer science)Machine Learning (cs.LG)Machine learning approachesStatistics - Machine LearningAutomated approachDeep neural networks0202 electrical engineering electronic engineering information engineeringTaxonomic rankQuantitative Methods (q-bio.QM)Classification (of information)Artificial neural networksystematiikka (biologia)Prediction accuracyIdentification (information)koneoppiminenMulti-image dataBenchmark (computing)020201 artificial intelligence & image processingConvolutional neural networksComputer Vision and Pattern RecognitionClassification errorsMachine Learning (stat.ML)Machine learningState of the artElectrical and Electronic EngineeringTaxonomySupport vector machinesLearning systemsbusiness.industryNode (networking)020206 networking & telecommunicationsComputer circuitsHierarchical classificationConvolutionSupport vector machineFOS: Biological sciencesTaxonomic hierarchySignal ProcessingBiomonitoringBenchmark datasetsArtificial intelligencebusinesscomputertaksonitSoftware
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Mapping traditional cultural landscapes in the Mediterranean area using a combined multidisciplinary approach: Method and application to Mount Etna (…

2011

Traditional cultural landscapes (TCLs) are prominent in Mediterranean countries. The abundance of this landscape type, however, is not reflected by broad-scale inventories and mapping tools. The aim of this paper is to highlight the need for a multidisciplinary approach to landscape analysis, with special reference to the Mediterranean area. We propose an integrated method that combines deductive and inductive processes to define and map TCLs in a study area (Mount Etna, Sicily, Italy). We also develop a procedure to characterize the primary components of these landscapes as a reference to be used in cultural-landscape descriptions. For mapping purposes, three different scales of analysis w…

Mediterranean climateSettore AGR/05 - Assestamento Forestale E SelvicolturaEcologyMulti-disciplinary approachCultural landscapeTraditional land-useManagement Monitoring Policy and LawHierarchical classificationRural environmentMountRural heritage featureUrban StudiesLandscape inventoryGeographyMultidisciplinary approachMediterranean areaLandscape analysisAgroforestry systemsScale (map)CartographyNature and Landscape ConservationLandscape and Urban Planning
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Instability of space-time rainfall regimes in the payment of basin Mono-Couffo and its impact on the flow of 1961 to 2000

2009

International audience; The catchment area of Mono-Couffo complex, is located in the Gulf of Benin, in the southern part of the Republics of Benin and Togo, at the continent-ocean interface. It lies about 526 km from north to south between 06 ° 16 'and 09 ° 20'N and covers an area of 27 870 km ². The analysis of the variation in rainfall totals for the period 1961-2000 in the basin of Mono-Couffo, between Benin and Togo has been a slight decrease in precipitation. This study aims to identify possible changes in the precipitation regime of the basin and their potential impact in the hydrological functioning of river Couffo. The data used are the monthly precipitation of a network of 25 stati…

[ SDE.MCG ] Environmental Sciences/Global Changes[SDE.MCG] Environmental Sciences/Global Changes[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/ClimatologyTogoascending hierarchical classificationBeninsystems[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/Climatologyprecipitation
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Typology of exogenous organic matters based on chemical and biochemical composition to predict potential nitrogen mineralization

2010

Our aim was to develop a typology predicting potential N availability of exogenous organic matters (EOMs) in soil based on their chemical characteristics. A database of 273 EOMs was constructed including analytical data of biochemical fractionation, organic C and N, and results of N mineralization during incubation of soil–EOM mixtures in controlled conditions. Multiple factor analysis and hierarchical classification were performed to gather EOMs with similar composition and N mineralization behavior. A typology was then defined using composition criteria to predict potential N mineralization. Six classes of EOM potential N mineralization in soil were defined, from high potential N minerali…

[SDV.BIO]Life Sciences [q-bio]/Biotechnologygenetic structures010501 environmental sciences01 natural sciencesMinéralisationBiochemical compositionOrganic ChemicalsWaste Management and DisposalHigh potentialhttp://aims.fao.org/aos/agrovoc/c_35657chemistry.chemical_classificationMineralsChemistry04 agricultural and veterinary sciencesGeneral MedicineComposition chimiqueClassificationhierarchical classificationDisponibilité d'élément nutritifCycle de l'azoteEnvironmental chemistryhttp://aims.fao.org/aos/agrovoc/c_5193http://aims.fao.org/aos/agrovoc/c_1794AlgorithmsP33 - Chimie et physique du solBiochemical fractionationEnvironmental EngineeringNitrogenhttp://aims.fao.org/aos/agrovoc/c_7170Mineralogybiochemical fractionationBioengineeringhttp://aims.fao.org/aos/agrovoc/c_27938FractionationTeneur en azoten mineralizationMatière organique du solhttp://aims.fao.org/aos/agrovoc/c_5268Fertilité du solMultiple factor analysisOrganic matterComputer SimulationNitrogen cycle0105 earth and related environmental sciencesRenewable Energy Sustainability and the EnvironmentP35 - Fertilité du sol[ SDV.BIO ] Life Sciences [q-bio]/BiotechnologyMineralization (soil science)eye diseasesAmendement organiqueModels Chemical040103 agronomy & agriculture0401 agriculture forestry and fisheriessense organsexogenous organic mattertypologyhttp://aims.fao.org/aos/agrovoc/c_12965http://aims.fao.org/aos/agrovoc/c_1653http://aims.fao.org/aos/agrovoc/c_15999F04 - Fertilisation
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