Search results for "computer.software_genre"

showing 10 items of 3858 documents

Design of composite measure schemes for comparative severity assessment in animal-based neuroscience research: A case study focussed on rat epilepsy …

2020

PLOS ONE 15(5), e0230141 (2020). doi:10.1371/journal.pone.0230141

Computer sciencePhysiologyPsychological interventionSocial Sciencescomputer.software_genreOpen fieldField (computer science)Rats Sprague-Dawley0302 clinical medicineMathematical and Statistical TechniquesMedicine and Health SciencesPsychologyCluster Analysis0303 health sciencesPrincipal Component AnalysisMultidisciplinaryAnimal Welfare (journal)Animal BehaviorQStatisticsRAnimal ModelsResearch AssessmentNeurologyExperimental Organism SystemsAnimal SocialityPhysical SciencesMedicineDisease Models Animals epilepsy animal behaviorFemaleLocomotionResearch ArticleScienceSpatial BehaviorContext (language use)Machine learningResearch and Analysis Methods03 medical and health sciencesRobustness (computer science)Animal welfareKindling NeurologicAnimalsRelevance (information retrieval)BurrowingStatistical MethodsSocial BehaviorSelection (genetic algorithm)030304 developmental biologyBehaviorEpilepsybusiness.industryBiological LocomotionBiology and Life SciencesRatsDisease Models AnimalBiological Variation PopulationMultivariate AnalysisAnimal StudiesArtificial intelligenceK Means ClusteringbusinesscomputerZoology030217 neurology & neurosurgeryMathematicsSoftware
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Clinically-Driven Virtual Patient Cohorts Generation: An Application to Aorta

2021

The combination of machine learning methods together with computational modeling and simulation of the cardiovascular system brings the possibility of obtaining very valuable information about new therapies or clinical devices through in-silico experiments. However, the application of machine learning methods demands access to large cohorts of patients. As an alternative to medical data acquisition and processing, which often requires some degree of manual intervention, the generation of virtual cohorts made of synthetic patients can be automated. However, the generation of a synthetic sample can still be computationally demanding to guarantee that it is clinically meaningful and that it re…

Computer sciencePhysiologySample (statistics)Target populationMachine learningcomputer.software_genreData acquisitionVirtual patientPhysiology (medical)digital twinQP1-981support vector machineOriginal Researchbusiness.industrygenerative adversarial networkSampling (statistics)synthetic populationthoracic-aortaSupport vector machineReference samplein-silico trialsCohortArtificial intelligencevirtual cohortbusinesscomputerclinically-driven samplingFrontiers in Physiology
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Integrating Environmental Temperature Conditions into the SIR Model for Vector-Borne Diseases

2020

International audience; Nowadays, Complex networks are used to model and analyze various problems of real-life e.g. information diffusion in social networks, epidemic spreading in human population etc. Various epidemic spreading models are proposed for analyzing and understanding the spreading of infectious diseases in human contact networks. In classical epidemiological models, a susceptible person becomes infected after getting in contact with an infected person among the human population only. However, in vector-borne diseases, a human can be infected also by a living organism called a vector. The vector population that also help in spreading diseases is very sensitive to environmental f…

Computer sciencePopulationEpidemic dynamicsEpidemic SpreadingComplex NetworkContact networkMachine learningcomputer.software_genre01 natural sciences010305 fluids & plasmasEnvironmental temperature0103 physical sciences[INFO]Computer Science [cs]010306 general physicseducationeducation.field_of_studybusiness.industryTemperatureComplex network3. Good healthHomogeneousDy- namics on NetworkVector (epidemiology)Artificial intelligenceSIR modelEpidemic modelbusinesscomputer
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Experimental evaluation of privacy-preserving aggregation schemes on planetlab

2015

New pervasive technologies often reveal many sen- sitive information about users’ habits, seriously compromising the privacy and sometimes even the personal security of people. To cope with this problem, researchers have developed the idea of privacy-preserving data mining which refers to the possibility of releasing aggregate information about the data provided by multiple users, without any information leakage about individual data. These techniques have different privacy levels and communication costs, but all of them can suffer when some users’ data becomes inaccessible during the operation of the privacy preserving protocols. It is thus interesting to validate the applicability of such…

Computer sciencePrivacy softwareSettore ING-INF/03 - TelecomunicazioniAggregate (data warehouse)aggregationComputer securitycomputer.software_genreprivacySecret sharingInformation sensitivityPlanetLabInformation leakageSecure multi-party computationcomputer
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Set similarity joins on mapreduce

2018

Set similarity joins, which compute pairs of similar sets, constitute an important operator primitive in a variety of applications, including applications that must process large amounts of data. To handle these data volumes, several distributed set similarity join algorithms have been proposed. Unfortunately, little is known about the relative performance, strengths and weaknesses of these techniques. Previous comparisons are limited to a small subset of relevant algorithms, and the large differences in the various test setups make it hard to draw overall conclusions. In this paper we survey ten recent, distributed set similarity join algorithms, all based on the MapReduce paradigm. We emp…

Computer scienceProcess (engineering)General EngineeringJoinsScale (descriptive set theory)02 engineering and technologycomputer.software_genreSet (abstract data type)Range (mathematics)Operator (computer programming)Similarity (network science)020204 information systems0202 electrical engineering electronic engineering information engineeringJoin (sigma algebra)020201 artificial intelligence & image processingData miningcomputerProceedings of the VLDB Endowment
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Emulation of 2D Hydrodynamic Flood Simulations at Catchment Scale Using ANN and SVR

2021

Two-dimensional (2D) hydrodynamic models are one of the most widely used tools for flood modeling practices and risk estimation. The 2D models provide accurate results

Computer scienceProcess (engineering)Geography Planning and DevelopmentAquatic ScienceMachine learningcomputer.software_genreBiochemistrysupport vector regressionTD201-500Uncertainty analysisWater Science and TechnologyEmulationArtificial neural networkFlood mythWater supply for domestic and industrial purposesbusiness.industryDimensionality reductionHydraulic engineeringSupport vector machineemulatorsVDP::Teknologi: 500Sample size determinationerror structureArtificial intelligencetraining set sizebusinessTC1-978computerartificial neural networkWater
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Object-Oriented Operational Semantics

2016

Operational semantics is one way of providing meaning to an executable language. On a high level of abstraction, operational semantics means to define an interpreter or an abstract machine for the language. In this article, we review the concept of operational semantics in the scope of meta-model-based language definitions and identify challenges and issues. We provide a clean conceptual approach using an object-oriented runtime environment and state change operations, which relies on an underlying abstract virtual machine. We present the approach using a sample language.

Computer scienceProgramming language0102 computer and information sciences02 engineering and technologycomputer.file_formatcomputer.software_genre01 natural sciencesOperational semanticsAbstract machineAction semanticsDenotational semantics010201 computation theory & mathematicsVirtual machine0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingExecutablecomputerInterpreterAbstraction (linguistics)
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Generation of User Interfaces from Business Process Model Notation (BPMN)

2019

Business Process Model Notation focuses on functional processes; so, the design of the interface generally depends on the subjective experience of the analyst. This thesis proposes a new method to generate interfaces from BPMN models. The idea is to identify rules from BPMN to interfaces in existing real projects. We have analyzed 7 Bizagi projects to generalize a list of rules. It has been done considering five BPMN patterns. Apart from BPMN primitives, there are rules that depend on elements of Class Diagrams to know how to generate the interfaces. When the rules have several alternatives to generate the interfaces, we need an unambiguous semantics to specify which alternative we are goin…

Computer scienceProgramming languageInterface (Java)Semantics (computer science)business.industry05 social sciences020207 software engineeringUsability02 engineering and technologyBusiness process modelingUNESCO::CIENCIAS TECNOLÓGICAScomputer.software_genreNotationBusiness Process Model and Notation0502 economics and business0202 electrical engineering electronic engineering information engineeringClass diagramUser interfacebusinesscomputer050203 business & management
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Architecture and Language for Semantic Reduction of Domain-Specific Models in BPMS

2012

Nowadays each business process management system (BPMS) supports either an industry standard or its own specific modeling language. But no BPMS supports a specific language for each organization. We propose an architecture for building BPMS that allows creating a domain-specific modeling language for every client easily. The main problem is to bridge the gap between the domain-specific language and the executable language. We show that we can look at this problem as a classification of the domain-specific language constructs in the terms of the executable language. To solve this problem we present a novel model transformation language, with which this type of problem can be solved more natu…

Computer scienceProgramming languageModeling languagebusiness.industrycomputer.file_formatcomputer.software_genreDomain (software engineering)Reduction (complexity)Business process managementExecutableArchitecturebusinesscomputerLanguage constructModel transformation languagecomputer.programming_language
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On the darker side of C++

1988

We discuss several negative features and properties of the C++ language, some common with C, others pertaining to C++ classes. Remedies are proposed for most of the latter ones, most of the former ones being feared to be already incurable. The worst class-related defects claimed in present C++ have to do with free store management. Some hints are given to programmers on how to avoid pitfalls.

Computer scienceProgramming languageObject-orientationComputer securitycomputer.software_genrecomputer
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