Search results for " CLASSIFICATION"

showing 10 items of 1043 documents

Changes in the physiological and agricultural characteristics of peat-based Bradyrhizobium japonicum inoculants after long-term storage

2000

International audience; Commercial soybean inoculants processed with sterilised peat and stored at 20 °C for 1–8 years were used as experimental materials to assess the changes in the physiological activity of Bradyrhizobium japonicum after storage. Viable counts decreased and physiological characteristics of the bacterium changed during storage, with an increase in the time taken for colony appearance on a medium without yeast extract, an increase in the lag time for nodule appearance on soybean grown in glass tubes and a decrease in survival on seeds. All the inoculants produced a significant increase in grain yield in a field experiment. The percentage of efficient cells in the field (re…

0106 biological sciencesTime FactorsField experimentMicroorganismColony Count MicrobialBiologyRhizobacteria01 natural sciencesApplied Microbiology and Biotechnology03 medical and health sciencesYeast extractBradyrhizobiumDesiccation[SDV.MP] Life Sciences [q-bio]/Microbiology and ParasitologyMicrobial inoculantSoil Microbiology2. Zero hunger0303 health sciences030306 microbiologyCrop yieldfood and beveragesSoil classificationGeneral Medicinebiology.organism_classificationHorticulture[SDV.MP]Life Sciences [q-bio]/Microbiology and ParasitologyAgronomySoybeans010606 plant biology & botanyBiotechnologyBradyrhizobium japonicumApplied Microbiology and Biotechnology
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Formalized classification of European fen vegetation at the alliance level

2017

AimsPhytosociological classification of fen vegetation (Scheuchzerio palustris-Caricetea fuscae class) differs among European countries. Here we propose a unified vegetation classification of European fens at the alliance level, provide unequivocal assignment rules for individual vegetation plots, identify diagnostic species of fen alliances, and map their distribution.LocationEurope, western Siberia and SE Greenland.Methods29 049 vegetation-plot records of fens were selected from databases using a list of specialist fen species. Formal definitions of alliances were created using the presence, absence and abundance of Cocktail-based species groups and indicator species. DCA visualized the s…

0106 biological sciencesVegetation classificationBos- en LandschapsecologieWetlandManagement Monitoring Policy and Law010603 evolutionary biology01 natural sciencesSupervised vegetation classificationVegetation plotsForest and Landscape EcologyVegetatieNature and Landscape Conservationgeographygeography.geographical_feature_categoryVegetationBiogeography ; Ecological gradients ; Endangered habitats ; Mires ; Releves ; Supervised vegetation classification ; Unsupervised vegetation classification ; Vegetation plots ; WetlandsEcologyChemistryEcologyMiresRelevésSpecies diversityUnsupervised vegetation classificationVegetation15. Life on landPE&RCEndangered habitatsBorealBiogeographyIndicator speciesWetlandsEcological gradientsOrdinationVegetatie Bos- en LandschapsecologieSpecies richnessVegetation Forest and Landscape Ecology010606 plant biology & botany
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Humusica 1, article 1: Essential bases – Vocabulary

2018

International audience; The Special Issue Humusica 1 corresponds to a field guide for the classification of terrestrial humus systems and forms. The present first article of the issue defines vocabulary, objects and concepts necessary for: (a) field investigation, (b) understanding the process of classification, (c) assigning ecological significance to the defined morpho-functional units, (d) discussing and exchanging scientific data about humus systems. The article starts with general considerations, as the necessity humans have to classify natural objects for sharing ideas and information on them. Then the article focuses on soil as functional element of every ecosystem. Historical and re…

0106 biological sciencesVocabularyComputer scienceProcess (engineering)media_common.quotation_subjectSoil Science[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study010603 evolutionary biology01 natural sciencesHumusHumus Humusica Humus form classification Humus system Humus vocabulary Soil classification Soil conceptSoil concept ABSTRACT[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsSoil classificationSoil conceptNatural (music)Humus vocabularymedia_common2. Zero hungerHumus form classificationTopsoilEcologyEcology04 agricultural and veterinary sciences15. Life on landAgricultural and Biological Sciences (miscellaneous)HumusField (geography)EpistemologyVariety (cybernetics)040103 agronomy & agricultureHumusica0401 agriculture forestry and fisheriesSoil horizon[SDE.BE]Environmental Sciences/Biodiversity and EcologyHumus system
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Soil genetic erosion: New conceptual developments in soil security

2019

In the last decades, in some Mediterranean areas, pedodiversity decreased mainly due to pedotechnique application in large-scale farming that transformed original soils into Anthrosols. Supporting the consideration that soils can be considered as living systems, the original concept of 'soil genetic erosion' is re-proposed. Data, extrapolated and modeled from a Soil Information System in a study case representative of a Mediterranean landscape, predicted that most of the soil types would disappear in few years leading to a decrease of the soil diversity and originating soil genetic erosion. This circumstance is intentionally here told in form of a story where the fairy tale characters are s…

0208 environmental biotechnologyBiodiversitySoil Science02 engineering and technologySoil ecosystem serviceEcosystem servicesPedodiversitySoil securityEnvironmental protectionGenetic erosionNature and Landscape ConservationWater Science and TechnologyAnthropogenic soilbusiness.industrySoil classification04 agricultural and veterinary sciences020801 environmental engineeringSoil genetic erosionGeographyAgriculturelcsh:TA1-2040Settore AGR/14 - PedologiaSoil waterSustainability040103 agronomy & agriculture0401 agriculture forestry and fisheriesbusinessPedodiversitylcsh:Engineering (General). Civil engineering (General)Agronomy and Crop Science
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Introducing a Fuzzy-Pattern Operator in Fuzzy Time Series

2017

In this paper we introduce a fuzzy pattern operator and propose a new weighting fuzzy time series strategy for generating accurate ex-post forecasts. A decision support system is built for managing the weights of the information provided by the historical data, under a fuzzy time series framework. Our procedure analyzes the historical performance of the time series using different experiments, and it classifies the characteristics of the series through a fuzzy operator, providing a trapezoidal fuzzy number as one-step ahead forecast. We also present some numerical results related to the predictive performance of our procedure with time series of financial data sets.

0209 industrial biotechnologyFuzzy classificationSeries (mathematics)Computer science02 engineering and technologycomputer.software_genreDefuzzificationFuzzy logicWeighting020901 industrial engineering & automationFuzzy mathematics0202 electrical engineering electronic engineering information engineeringFuzzy numberFuzzy set operations020201 artificial intelligence & image processingData miningcomputer
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Darboux integrable system with a triple point and pseudo-abelian integrals

2016

We study pseudo-abelian integrals associated with polynomial perturbations of Dar-boux integrable system with a triple point. Under some assumptions we prove the local boundedness of the number of their zeros. Assuming that this is the only non-genericity, we prove that the number of zeros of the corresponding pseudo-abelian integrals is bounded uniformly for nearby Darboux integrable foliations.

0209 industrial biotechnologyPure mathematicsControl and OptimizationIntegrable systemTriple pointAbelian integrals[ MATH.MATH-DS ] Mathematics [math]/Dynamical Systems [math.DS]Darboux integrability[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS][MATH.MATH-DS] Mathematics [math]/Dynamical Systems [math.DS]Dynamical Systems (math.DS)02 engineering and technologyType (model theory)01 natural sciencesIntegrating factor020901 industrial engineering & automationFOS: MathematicsLimit Cycle0101 mathematicsAbelian groupMathematics - Dynamical Systems34C07 34C08MathematicsNumerical AnalysisAlgebra and Number Theory010102 general mathematicsMathematical analysisLimit cyclesMathematics Subject ClassificationControl and Systems EngineeringBounded functionFoliation (geology)
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Extreme Learning Machines for Data Classification Tuning by Improved Bat Algorithm

2018

Single hidden layer feed forward neural networks are widely used for various practical problems. However, the training process for determining synaptic weights of such neural networks can be computationally very expensive. In this paper we propose a new learning algorithm for learning the synaptic weights of the single hidden layer feedforward neural networks in order to reduce the learning time. We propose combining the upgraded bat algorithm with the extreme learning machine. The proposed approach reduces the number of evaluations needed to train a neural network and efficiently finds optimal input weights and the hidden biases. The proposed algorithm was tested on standard benchmark clas…

0209 industrial biotechnologyQuantitative Biology::Neurons and CognitionArtificial neural networkComputer sciencebusiness.industryData classificationProcess (computing)Approximation algorithm02 engineering and technologyMachine learningcomputer.software_genre020901 industrial engineering & automationGenetic algorithm0202 electrical engineering electronic engineering information engineeringBenchmark (computing)Feedforward neural network020201 artificial intelligence & image processingArtificial intelligencebusinesscomputerBat algorithm2018 International Joint Conference on Neural Networks (IJCNN)
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P-FCM: a proximity-based fuzzy clustering for user-centered web applications

2003

Abstract In last years, the Internet and the web have been evolved in an astonishing way. Standard web search services play an important role as useful tools for the Internet community even though they suffer from a certain difficulty. The web continues its growth, making the reliability of Internet-based information and retrieval systems more complex. Nevertheless there has been a substantial analysis of the gap between the expected information and the returned information, the work of web search engine is still very hard. There are different problems concerning web searching activity, one among these falls in the query phase. Each engine provide an interface which the user is forced to le…

0209 industrial biotechnologymedicine.medical_specialtyComputer science02 engineering and technologyWeb engineeringcomputer.software_genreSimilarityTheoretical Computer ScienceWorld Wide Web020901 industrial engineering & automationArtificial IntelligenceWeb query classificationWeb design0202 electrical engineering electronic engineering information engineeringmedicineWeb navigationWeb search queryInformation retrievalHuman–computer interactionApplied MathematicsFuzzy logicSearch enginesWeb search engine020201 artificial intelligence & image processingWeb servicecomputerWeb modelingSoftwareFuzzy C-mean algorithmInternational Journal of Approximate Reasoning
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An Artificial Bee Colony Approach for Classification of Remote Sensing Imagery

2018

This paper presents a novel Artificial Bee Colony (ABC) approach for supervised classification of remote sensing images. One proposes to apply an ABC algorithm to optimize the coefficients of the set of polynomial discriminant functions. We have experimented the proposed ABC-based classifier algorithm for a Landsat 7 ETM+ image database, evaluating the influence of the ABC model parameters on the classifier performances. Such ABC model parameters are: numbers of employed/onlooker/scout bees, number of epochs, and polynomial degree. One has compared the best ABC classifier Overall Accuracy (OA) with the performances obtained using a set of benchmark classifiers (NN, NP, RBF, and SVM). The re…

021103 operations researchArtificial neural networkComputer science0211 other engineering and technologies02 engineering and technologyArtificial bee colony algorithmSupport vector machineStatistical classificationAbc modelComputingMethodologies_PATTERNRECOGNITIONDiscriminant0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingDegree of a polynomialClassifier (UML)Remote sensing2018 10th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)
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A risk assessment proposal for underground cavities in Hard Soils-Soft Rocks

2018

Abstract Underground calcarenite quarries in Marsala (Sicily) have been involved in a number of collapses that have, seriously damaged numerous buildings. The stability conditions were therefore examined in order to assess risk conditions within the historical centre of the town and the surrounding areas, which are subject to urban expansion. Starting with an extensive collection of historical information, the research was carried out through surveys of the cavities, systematic sampling of material, petrographic analysis and geotechnical testing. The results of laboratory tests and in situ investigations provided a geotechnical characterization of both the intact material and the rock mass.…

021110 strategic defence & security studiesRisk chartSafety factorSettore ICAR/07 - Geotecnica0211 other engineering and technologiesUnderground quarries Hard-soil/soft rocks Stability factor Risk charts02 engineering and technologyHard-soil/soft rockGeotechnical EngineeringGeotechnical Engineering and Engineering GeologyStability factorUnderground quarrieFinite element methodCalcarenitePetrographyAbacus (architecture)Geotechnical engineeringRock mass classificationShear strength (discontinuity)SubsoilGeology021101 geological & geomatics engineeringInternational Journal of Rock Mechanics and Mining Sciences
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