Search results for " box"

showing 10 items of 161 documents

STRUCTURAL AND ARCHITECTURAL DESIGN OF AN INTEGRAL STEEL FOOTBRIDGE

2011

FOOTBRIDGE INTEGRAL ABUTMENTS STEEL BOX COMPOSITE STRUCTURE COR-TEN STEEL
researchProduct

Denoising Autoencoders for Fast Combinatorial Black Box Optimization

2015

Estimation of Distribution Algorithms (EDAs) require flexible probability models that can be efficiently learned and sampled. Autoencoders (AE) are generative stochastic networks with these desired properties. We integrate a special type of AE, the Denoising Autoencoder (DAE), into an EDA and evaluate the performance of DAE-EDA on several combinatorial optimization problems with a single objective. We asses the number of fitness evaluations as well as the required CPU times. We compare the results to the performance to the Bayesian Optimization Algorithm (BOA) and RBM-EDA, another EDA which is based on a generative neural network which has proven competitive with BOA. For the considered pro…

FOS: Computer and information sciencesArtificial neural networkI.2.6business.industryFitness approximationComputer scienceNoise reductionI.2.8MathematicsofComputing_NUMERICALANALYSISComputer Science - Neural and Evolutionary ComputingMachine learningcomputer.software_genreAutoencoderOrders of magnitude (bit rate)Estimation of distribution algorithmBlack boxComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONNeural and Evolutionary Computing (cs.NE)Artificial intelligencebusinessI.2.6; I.2.8computerProceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation
researchProduct

Structural bias in population-based algorithms

2014

Abstract Challenging optimisation problems are abundant in all areas of science and industry. Since the 1950s, scientists have responded to this by developing ever-diversifying families of ‘black box’ optimisation algorithms. The latter are designed to be able to address any optimisation problem, requiring only that the quality of any candidate solution can be calculated via a ‘fitness function’ specific to the problem. For such algorithms to be successful, at least three properties are required: (i) an effective informed sampling strategy, that guides the generation of new candidates on the basis of the fitnesses and locations of previously visited candidates; (ii) mechanisms to ensure eff…

FOS: Computer and information sciencesQA75Mathematical optimizationInformation Systems and ManagementPopulation-based algorithmsFitness landscapemedia_common.quotation_subjectPopulationStructural biasEvolutionary computationPopulation-based algorithmEvolutionary computationTheoretical Computer ScienceArtificial IntelligenceBlack boxEconometricsQuality (business)OptimisationAlgorithmic designNeural and Evolutionary Computing (cs.NE)educationMathematicsmedia_commonta113education.field_of_studyFitness functionPopulation sizeComputer Science - Neural and Evolutionary ComputingComputer Science ApplicationsControl and Systems EngineeringAlgorithmSoftwarePopulation variance
researchProduct

Sterol Regulatory Element-binding Protein-1c Is Responsible for Cholesterol Regulation of Ileal Bile Acid-binding Protein Gene in Vivo

2002

Ileal bile acid-binding protein (I-BABP) is a cytosolic protein that binds bile acid (BA) specifically. In the ileum, it is thought to be implied in their enterohepatic circulation. Because the fecal excretion of BA represents the main physiological way of elimination for cholesterol (CS), the I-BABP gene could have a major function in CS homeostasis. Therefore, the I-BABP gene expression might be controlled by CS. I-BABP mRNA levels were significatively increased when the human enterocyte-like CaCo-2 cells were CS-deprived and repressed when CS were added to the medium. A highly conserved sterol regularory element-like sequence (SRE) and a putative GC box were found in human I-BABP gene pr…

Gene isoformReporter geneBile acidmedicine.drug_classCAAT boxPromoterCell BiologyBiologyBiochemistryMolecular biologyChloramphenicol acetyltransferaseGene expressionmedicineLiver X receptorMolecular BiologyJournal of Biological Chemistry
researchProduct

On the use of Deep Reinforcement Learning for Visual Tracking: a Survey

2021

This paper aims at highlighting cutting-edge research results in the field of visual tracking by deep reinforcement learning. Deep reinforcement learning (DRL) is an emerging area combining recent progress in deep and reinforcement learning. It is showing interesting results in the computer vision field and, recently, it has been applied to the visual tracking problem yielding to the rapid development of novel tracking strategies. After providing an introduction to reinforcement learning, this paper compares recent visual tracking approaches based on deep reinforcement learning. Analysis of the state-of-the-art suggests that reinforcement learning allows modeling varying parts of the tracki…

General Computer ScienceComputer scienceFeature extractionMachine learningcomputer.software_genreField (computer science)video-surveillanceMinimum bounding boxReinforcement learningGeneral Materials ScienceSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionideep reinforcement learningComputer vision machine learning video-surveillance deep reinforcement learning visual tracking.business.industryGeneral EngineeringTracking systemvisual trackingVisualizationActive appearance modelTK1-9971machine learningEye trackingComputer visionArtificial intelligenceElectrical engineering. Electronics. Nuclear engineeringbusinesscomputer
researchProduct

Habitat preferences of edible dormouse, Glis glis italicus: implications for the management of arboreal mammals in Mediterranean forests

2015

Research on arboreal mammals living in Mediterranean forests is poor. Molecular research assessed the existence of an evolutionary significant unit in the edible dormouse populations living in south Italy, Sicily and Sardinia, and we decided to investigate the environmental factors capable of explaining its occurrence and abundance in Sicily, for a better management of these populations. We assessed the species habitat preferences by setting 25 large and 25 small nestboxes in five sample areas along an altitudinal gradient of the Madonie Range, and recorded habitat variables, food availability, and demographic data for two years. To obtain synthetic descriptors of the dormice habitat requir…

Generalized Linear Model (GML) information theoretic approach Akaike Information Criterion (AIC) artificial nest boxes arboreal species conservationSettore BIO/05 - Zoologia
researchProduct

The human fascin gene promoter is highly active in mature dendritic cells due to a stage-specific enhancer.

2003

Abstract Dendritic cells (DC), regarded as the most efficient APCs of the immune system, are capable of activating naive T cells. Thus, DC are primary targets in immunotherapy. However, little is known about gene regulation in DC, and for efficient transcriptional targeting of human DC, a suitable promoter is still missing. Recently, we successfully used the promoter of the murine actin-bundling protein fascin to transcriptionally target DC by DNA vaccination in mice. In this study, we report on isolation of the human fascin promoter and characterization of its regulatory elements. The actively expressed gene was distinguished from a conserved inactive genomic locus and a continuous region …

Genetic MarkersRetroelementsTATA boxImmunologyMolecular Sequence DataCAAT boxRegulatory Sequences Nucleic AcidCell LineTumor Cells CulturedImmunology and AllergyHumansAmino Acid SequenceGene SilencingEnhancerPromoter Regions GeneticGene3' Untranslated RegionsCells CulturedConserved SequenceFascinRegulation of gene expressionbiologyBase SequenceGenome HumanMicrofilament ProteinsPromoterCell DifferentiationDendritic CellsExonsMolecular biologyIntronsEnhancer Elements GeneticGene Expression RegulationRegulatory sequencebiology.proteinCarrier ProteinsPseudogenesJournal of immunology (Baltimore, Md. : 1950)
researchProduct

Distribution of REEs in box-core sediments offshore an industrial area in SE Sicily, Ionian Sea: Evidence of anomalous sedimentary inputs

2009

The distribution of rare earth elements and yttrium (REEs+Y) has been investigated in box-core sediments recovered from four stations in the Sicilian coastal zone seawards of Augusta, one of the most industrialized and contaminated areas in the Mediterranean region. Shale-like REE patterns and low Y/Ho ratios (close to the chondritic ratio) suggest a dominant terrigenous (geogenic) source for REE. Slight enrichment of LREE over the HREE is interpreted as due to preferential adsorptive transfer of LREE from seawater to sediment particles. Samples from offshore cores exhibit slightly positive Gd and negative Ce anomalies. It is here hypothesized that main drivers of anthropogenic Gd flux towa…

Geologic SedimentsEnvironmental EngineeringHealth Toxicology and MutagenesisOceans and SeasGeochemistryFluxMineralogyIndustrial WasteGadoliniumGeologic SedimentsMediterranean seaEnvironmental ChemistrySicilyRare earth elements Ce anomaly Gd anomaly Box-core sediment Offshore Ionian SeaTerrigenous sedimentPublic Health Environmental and Occupational HealthSedimentGeneral MedicineGeneral ChemistryCeriumPollutionSettore GEO/08 - Geochimica E VulcanologiaSeawaterSedimentary rockMetals Rare EarthBayGeologyWater Pollutants ChemicalEnvironmental Monitoring
researchProduct

A Semantic Web Approach for Geodata Discovery

2013

International audience; Currently, vast amounts of geospatial information are o ffered through OGC's services. However this information has limited formal semantics. The most common method to search for a dataset consists in matching keywords to metadata elements. By adding semantics to available descriptions we could use modern inference and reasoning mechanisms currently available in the SemanticWeb. In this paper we present a novel architecture currently in development in which we use state of the art triplestores as the backend of a CSW service. In our approach, each metadata record is considered an instance of a given class in a domain ontology. Our architecture also adds a spatial dat…

Geospatial analysisComputer scienceFormal semantics (linguistics)SemanticWeb0211 other engineering and technologiesInference02 engineering and technologyOntology (information science)computer.software_genreWorld Wide Web[ INFO.INFO-HC ] Computer Science [cs]/Human-Computer Interaction [cs.HC]Minimum bounding box0202 electrical engineering electronic engineering information engineeringontologies[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]ArchitectureSemantic Webcatalogues021101 geological & geomatics engineeringInformation retrievalMetadataOGC servicesgeodata discovery020201 artificial intelligence & image processing[INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC]computer
researchProduct

DNase I sensitivity of the chromatin of the yeast SUC2 gene for invertase.

1986

The DNase I sensitivity of chromatin of the yeast SUC2 gene, which encodes two forms of invertase, has been studied both in the genome and in a multicopy plasmid carrying the gene and its flaking sequences. Whereas little if any difference in the DNase I sensitivity of the flanking regions was found between the repressed and the derepressed states, derepression of the gene was accompanied by a large increase in the sensitivity of the transcribed region. A well-defined DNase I hypersensitive site was found centered at approximately 120 bp downstream from the end of the coding region. This site seems to be flanked in the 3' non-coding region by strictly positioned nucleosomes, and the structu…

Glycoside Hydrolasesbeta-FructofuranosidaseTATA boxGenes FungalSaccharomyces cerevisiaeBiologyMolecular biologyChromatinGenesRegulatory sequenceGeneticsCoding regionNucleosomeDeoxyribonuclease IDNase I hypersensitive siteDeoxyribonuclease IMolecular BiologyHypersensitive siteDerepressionPlasmidsMoleculargeneral genetics : MGG
researchProduct