Search results for "information science"

showing 10 items of 3627 documents

Tree Species Classification of Drone Hyperspectral and RGB Imagery with Deep Learning Convolutional Neural Networks

2020

Interest in drone solutions in forestry applications is growing. Using drones, datasets can be captured flexibly and at high spatial and temporal resolutions when needed. In forestry applications, fundamental tasks include the detection of individual trees, tree species classification, biomass estimation, etc. Deep neural networks (DNN) have shown superior results when comparing with conventional machine learning methods such as multi-layer perceptron (MLP) in cases of huge input data. The objective of this research is to investigate 3D convolutional neural networks (3D-CNN) to classify three major tree species in a boreal forest: pine, spruce, and birch. The proposed 3D-CNN models were emp…

010504 meteorology & atmospheric sciencesComputer sciencehyperspectral image classificationScience0211 other engineering and technologiesgeoinformatics02 engineering and technologyneuroverkot01 natural sciencesConvolutional neural networkpuulajitPARAMETERSSet (abstract data type)LIDARFORESTSClassifier (linguistics)021101 geological & geomatics engineering0105 earth and related environmental sciencesbusiness.industryDeep learningspektrikuvausQHyperspectral imagingdeep learningPattern recognition15. Life on landmiehittämättömät ilma-aluksetPerceptron113 Computer and information sciencesClass (biology)drone imagery3d convolutional neural networksmetsänarviointiMACHINEkoneoppiminentree species classification3D convolutional neural networksGeneral Earth and Planetary SciencesRGB color modelArtificial intelligencekaukokartoitusbusinesshyperspectral image classificationRemote Sensing
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Mapping Vegetation Density in a Heterogeneous River Floodplain Ecosystem Using Pointable CHRIS/PROBA Data

2012

River floodplains in the Netherlands serve as water storage areas, while they also have the function of nature rehabilitation areas. Floodplain vegetation is therefore subject to natural processes of vegetation succession. At the same time, vegetation encroachment obstructs the water flow into the floodplains and increases the flood risk for the hinterland. Spaceborne pointable imaging spectroscopy has the potential to quantify vegetation density on the basis of leaf area index (LAI) from a desired view zenith angle. In this respect, hyperspectral pointable CHRIS data were linked to the ray tracing canopy reflectance model FLIGHT to retrieve vegetation density estimates over a heterogeneous…

010504 meteorology & atmospheric sciencesFloodplainWater flowpointable sensors; CHRIS/PROBA; leaf area index (LAI); inversion; radiative transfer (RT) model; FLIGHT; river floodplain ecosystem; vegetation density; hydraulic roughnessleaf area index (LAI)0211 other engineering and technologiesClimate change02 engineering and technologyCHRIS/PROBA01 natural sciencesforestinversionLaboratory of Geo-information Science and Remote SensingLaboratorium voor Geo-informatiekunde en Remote SensingLeaf area indexcoverlcsh:ScienceZenithriver floodplain ecosystem021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensinggeographychris-proba datahyperspectral brdf datageography.geographical_feature_categoryFLIGHTFlood mythrhine basinradiative-transfer modelHyperspectral imagingEnhanced vegetation index15. Life on landpointable sensorsPE&RCradiative transfer (RT) modelsugar-beetclimate-changeGeneral Earth and Planetary SciencesEnvironmental sciencehydraulic roughnesslcsh:Qflow resistanceleaf-area indexvegetation densityRemote Sensing
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Interaction Capabilities of a Robotic Receptionist

2017

A system aimed at facilitating the interaction between a human user and an humanoid robot is presented. The system is suited to answer questions about laboratories activities, people involved, projects, research themes and collaborations among employees. The task is accomplished by the HermiT reasoner invoked by a speech recognition module. The system is capable of navigating a specific ontology making inference on it. The presented system is part of a broader social robot framework whose goal is to give the user a fulfilling social interaction experience, driven by the perception of the robot internal state and involving intuitive and computational creativity capabilities.

0106 biological sciences0209 industrial biotechnologySocial robotComputational creativityComputer sciencechatbot02 engineering and technologySemantic reasonerOntology (information science)01 natural sciencesHuman–robot interactionTask (project management)020901 industrial engineering & automationHuman–computer interactionsocial roboticsRobotHumanoid robot010606 plant biology & botany
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Chloroplast genomes of Rubiaceae: Comparative genomics and molecular phylogeny in subfamily Ixoroideae.

2020

In Rubiaceae phylogenetics, the number of markers often proved a limitation with authors failing to provide well-supported trees at tribal and generic levels. A robust phylogeny is a prerequisite to study the evolutionary patterns of traits at different taxonomic levels. Advances in next-generation sequencing technologies have revolutionized biology by providing, at reduced cost, huge amounts of data for an increased number of species. Due to their highly conserved structure, generally recombination-free, and mostly uniparental inheritance, chloroplast DNA sequences have long been used as choice markers for plant phylogeny reconstruction. The main objectives of this study are: 1) to gain in…

0106 biological sciences0301 basic medicineChloroplastsPlant GenomesCoffeaRubiaceaePlant SciencePlant Genetics01 natural sciencesGenomePlant GenomicsPlastidsGenome EvolutionPhylogenyData ManagementMultidisciplinaryIxoroideaeQDNA ChloroplastRHigh-Throughput Nucleotide Sequencingfood and beveragesPhylogenetic AnalysisGenomicsPhylogeneticsChloroplast DNAEngineering and TechnologyMedicineGenome PlantResearch ArticleBiotechnologyGenome evolutionComputer and Information SciencesNuclear genePlant Cell BiologyScienceGenomicsBioengineeringBiology010603 evolutionary biologyPolymorphism Single NucleotideMolecular EvolutionEvolution Molecular03 medical and health sciencesChloroplast GenomeGeneticsEvolutionary SystematicsGenome ChloroplastTaxonomyComparative genomicsEvolutionary BiologyBiology and Life SciencesComputational BiologyCell BiologySequence Analysis DNAComparative Genomicsbiology.organism_classificationGenome AnalysisGenomic Libraries030104 developmental biologyEvolutionary biologyPlant BiotechnologyReference genomePLoS ONE
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Evaluation of chloroplast genome annotation tools and application to analysis of the evolution of coffee species.

2018

International audience; Chloroplast sequences are widely used for phylogenetic analysis due to their high degree of conservation in plants. Whole chloroplast genomes can now be readily obtained for plant species using new sequencing methods, giving invaluable data for plant evolution However new annotation methods are required for the efficient analysis of this data to deliver high quality phylogenetic analyses. In this study, the two main tools for chloroplast genome annotation were compared. More consistent detection and annotation of genes were produced with GeSeq when compared to the currently used Dogma. This suggests that the annotation of most of the previously annotated chloroplast …

0106 biological sciences0301 basic medicineChloroplastsPlant GenomesPlant SciencePlant Genetics01 natural sciencesGenomeCoffeeDatabase and Informatics MethodsPlant GenomicsPlastidsPhylogenyData Management2. Zero hungerPlant evolutionMultidisciplinarybiologyPhylogenetic treeQRfood and beveragesPhylogenetic AnalysisGenome projectGenomicsPhylogenetics[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]MedicineEngineering and Technology[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Cellular Structures and OrganellesCellular TypesSequence AnalysisResearch ArticleBiotechnologyComputer and Information SciencesBioinformaticsSciencePlant Cell BiologyBioengineering[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]Coffea canephoraGenes PlantResearch and Analysis Methods010603 evolutionary biology[INFO.INFO-IU]Computer Science [cs]/Ubiquitous ComputingEvolution Molecular[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]03 medical and health sciencesPhylogeneticsChloroplast GenomePlant CellsGeneticsEvolutionary SystematicsGenome ChloroplastTaxonomyEvolutionary BiologyCoffea arabicaCoffeafungiBiology and Life SciencesComputational BiologyMolecular Sequence AnnotationSequence Analysis DNACell Biology15. Life on landbiology.organism_classificationGenome Analysis[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationGenome Annotation030104 developmental biologyEvolutionary biology[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]Plant BiotechnologySequence AlignmentPloS one
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Comparative Mitogenomics of Leeches (Annelida: Clitellata): Genome Conservation and Placobdella-Specific trnD Gene Duplication.

2015

Mitochondrial DNA sequences, often in combination with nuclear markers and morphological data, are frequently used to unravel the phylogenetic relationships, population dynamics and biogeographic histories of a plethora of organisms. The information provided by examining complete mitochondrial genomes also enables investigation of other evolutionary events such as gene rearrangements, gene duplication and gene loss. Despite efforts to generate information to represent most of the currently recognized groups, some taxa are underrepresented in mitochondrial genomic databases. One such group is leeches (Annelida: Hirudinea: Clitellata). Herein, we expand our knowledge concerning leech mitochon…

0106 biological sciences0301 basic medicineClitellatalcsh:MedicineBiochemistry01 natural sciencesGenomeDatabase and Informatics MethodsRNA TransferGene DuplicationGene OrderInvertebrate GenomicsGene duplicationAnnelidslcsh:SciencePhylogenyEnergy-Producing OrganellesData ManagementGeneticseducation.field_of_studyMultidisciplinaryPhylogenetic treePhylogenetic AnalysisGenomicsGenomic DatabasesMitochondriaNucleic acidsPhylogeneticsGenes MitochondrialPlacobdella parasiticaCellular Structures and OrganellesTransfer RNAResearch ArticleComputer and Information SciencesMitochondrial DNAPopulationBioenergeticsBiologyResearch and Analysis Methods010603 evolutionary biologyEvolution MolecularOpen Reading Frames03 medical and health sciencesPhylogeneticsLeechesGeneticsAnimalsEvolutionary Systematics14. Life underwaterCodonMolecular Biology TechniquesNon-coding RNAeducationMolecular BiologyTaxonomyMolecular Biology Assays and Analysis TechniquesEvolutionary Biologylcsh:ROrganismsBiology and Life SciencesComputational BiologyCell BiologyGenome Analysisbiology.organism_classificationInvertebratesBiological Databases030104 developmental biologyAnimal GenomicsGenome MitochondrialRNAlcsh:QPLoS ONE
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The long journey of Orthotrichum shevockii (Orthotrichaceae, Bryopsida): From California to Macaronesia

2019

Biogeography, systematics and taxonomy are complementary scientific disciplines. To understand a species' origin, migration routes, distribution and evolutionary history, it is first necessary to establish its taxonomic boundaries. Here, we use an integrative approach that takes advantage of complementary disciplines to resolve an intriguing scientific question. Populations of an unknown moss found in the Canary Islands (Tenerife Island) resembled two different Californian endemic species: Orthotrichum shevockii and O. kellmanii. To determine whether this moss belongs to either of these species and, if so, to explain its presence on this distant oceanic island, we combined the evaluation of…

0106 biological sciences0301 basic medicineLeavesPlant ScienceBryology01 natural sciencesGeographical locationsCaliforniaNonvascular PlantsPhylogenyData ManagementMultidisciplinaryPhylogenetic analysisbiologyPlant AnatomyQREukaryotaPhylogenetic AnalysisPlantsClassification3. Good healthPhylogeneticsPhylogeographyGeographyMedicineTaxonomy (biology)Research ArticleSystematicsComputer and Information SciencesScienceBiogeographyCanary Islands010603 evolutionary biologyEvolution Molecular03 medical and health sciencesOrthotrichumMossesEvolutionary SystematicsNonvascular plantsOrthotrichaceaeEndemismTaxonomyEvolutionary BiologyBotánicaOrganismsBiology and Life SciencesSequence Analysis DNA15. Life on landbiology.organism_classificationBryopsidaUnited States030104 developmental biologyTaxonSpainEvolutionary biologyAfricaNorth AmericaBiological dispersalPeople and places
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Response to formal comment on Myhrvold (2016) submitted by Griebeler and Werner (2017)

2018

In his 2016 paper, Myhrvold criticized ours from 2014 on maximum growth rates (Gmax, maximum gain in body mass observed within a time unit throughout an individual’s ontogeny) and thermoregulation strategies (ectothermy, endothermy) of 17 dinosaurs. In our paper, we showed that Gmax values of similar-sized extant ectothermic and endothermic vertebrates overlap. This strongly questions a correct assignment of a thermoregulation strategy to a dinosaur only based on its Gmax and (adult) body mass (M). Contrary, Gmax separated similar-sized extant reptiles and birds (Sauropsida) and Gmax values of our studied dinosaurs were similar to those seen in extant similar-sized (if necessary scaled-up) …

0106 biological sciences0301 basic medicineMetabolic AnalysisPhysiologylcsh:MedicineAnimal Phylogenetics01 natural sciencesDinosaursBody TemperatureExtant taxonOrnithologyMaximum gainMedicine and Health SciencesGrowth rateSauropsidalcsh:ScienceArchosauriaData ManagementMammalsMultidisciplinarybiologyVertebrateEukaryotaPrehistoric AnimalsThermoregulationPhylogeneticsBioassays and Physiological AnalysisPhysiological ParametersEctothermVertebratesRegression AnalysisComputer and Information SciencesVertebrate PaleontologyZoologyResearch and Analysis Methods010603 evolutionary biologyFormal CommentBirds03 medical and health sciencesbiology.animalBasal Metabolic Rate MeasurementAnimalsAnimal PhysiologyEvolutionary SystematicsPaleozoologyTaxonomyEvolutionary Biologylcsh:ROrganismsBiology and Life SciencesPaleontologyReptilesbiology.organism_classificationBird Physiology030104 developmental biologyAmniotesEarth Scienceslcsh:QAllometryPaleobiologyZoologyPLoS ONE
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Dinosaur Metabolism and the Allometry of Maximum Growth Rate

2016

In his 2016 paper, Myhrvold criticized ours from 2014 on maximum growth rates (Gmax, maximum gain in body mass observed within a time unit throughout an individual’s ontogeny) and thermoregulation strategies (ectothermy, endothermy) of 17 dinosaurs. In our paper, we showed that Gmax values of similar-sized extant ectothermic and endothermic vertebrates overlap. This strongly questions a correct assignment of a thermoregulation strategy to a dinosaur only based on its Gmax and (adult) body mass (M). Contrary, Gmax separated similar-sized extant reptiles and birds (Sauropsida) and Gmax values of our studied dinosaurs were similar to those seen in extant similar-sized (if necessary scaled-up) …

0106 biological sciences0301 basic medicineMetabolic stateMetabolic AnalysisPhysiologylcsh:MedicineAnimal Phylogenetics01 natural sciencesBody TemperatureDinosaursMathematical and Statistical TechniquesExtant taxonMedicine and Health SciencesBody SizeGrowth ratelcsh:Sciencemedia_commonArchosauriaData ManagementMammalsMultidisciplinaryEcologyFossilsEukaryotaRegression analysisPrehistoric AnimalshumanitiesCurve FittingPhylogeneticsBioassays and Physiological AnalysisPhysiological ParametersEctothermPhysical SciencesVertebratesRegression AnalysisStatistics (Mathematics)Research ArticleComputer and Information Sciencesmedia_common.quotation_subjectVertebrate PaleontologyBiologyResearch and Analysis Methods010603 evolutionary biologyMarsupialsFormal CommentBirds03 medical and health sciencesBasal Metabolic Rate MeasurementAnimalsEvolutionary SystematicsStatistical MethodsPaleozoologyTaxonomyEvolutionary BiologyVariableslcsh:ROrganismsReptilesBiology and Life SciencesPaleontology030104 developmental biologyEvolutionary biologyBasal metabolic rateAmniotesEarth Scienceslcsh:QAllometryPaleobiologyEnergy MetabolismZoologyMathematical FunctionsMathematicsPLoS ONE
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Topological congruence between phylogenies of Anacanthorus spp. (Monogenea: Dactylogyridae) and their Characiformes (Actinopterygii) hosts: A case of…

2017

Cophylogenetic studies aim at testing specific hypotheses to understand the nature of coevolving associations between sets of organisms, such as host and parasites. Monogeneans and their hosts provide and interesting platform for these studies due to their high host specificity. In this context, the objective of the present study was to establish whether the relationship between Anacanthorus spp. with their hosts from the upper Paraná River and its tributaries can be explained by means of cospeciation processes. Nine fish species and 14 monogenean species, most of them host specific, were studied. Partial DNA sequences of the genes RAG1, 16S and COI of the fish hosts and of the genes ITS2, …

0106 biological sciences0301 basic medicineSpeciationlcsh:MedicineAnimal PhylogeneticsCharaciformes01 natural sciencesDatabase and Informatics MethodsRNA Ribosomal 16Slcsh:ScienceDNA extractionPhylogenyData ManagementMultidisciplinaryGeographyPhylogenetic treebiologyEukaryotaPhylogenetic AnalysisPhylogeneticsFreshwater FishPhylogeographyBiogeographyVertebratesCharaciformesSequence AnalysisMonogeneaResearch ArticleComputer and Information SciencesEvolutionary ProcessesBioinformaticsContext (language use)Topology010603 evolutionary biologyHost-Parasite InteractionsElectron Transport Complex IV03 medical and health sciencesExtraction techniquesPhylogeneticsGeneticsAnimalsEvolutionary SystematicsParasite EvolutionTaxonomyHomeodomain ProteinsEvolutionary BiologyPopulation BiologyHost (biology)lcsh:REcology and Environmental SciencesOrganismsBiology and Life SciencesDNASequence Analysis DNAbiology.organism_classificationDactylogyridaeResearch and analysis methodsPhylogeographyFish030104 developmental biologyPlatyhelminthsEarth Scienceslcsh:QParasitologyZoologySequence AlignmentPopulation GeneticsPLOS ONE
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