Search results for "computer.software_genre"

showing 10 items of 3858 documents

Cost-effective Multiresolution schemes for Shock Computations

2009

Harten's Multiresolution framework has provided a fruitful environment for the development of adaptive codes for hyperbolic PDEs. The so-called cost-effective alternative [4,8,21] seeks to achieve savings in the computational cost of the underlying numerical technique, but not in the overall memory requirements of the code. Since the data structure of the basic algorithm does not need to be modified, it provides a set of tools that can be easily implemented into existing codes and that can be very useful in order to speed up the numerical simulations involved in the testing process that is associated to the development of new numerical schemes.
In this paper we present two different applica…

Reduction (complexity)Set (abstract data type)SpeedupComputer engineeringComputer scienceComputationProcess (computing)Code (cryptography)Data miningData structurecomputer.software_genrecomputerShock (mechanics)ESAIM: Proceedings
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Corpus Analysis and Register Variation: a field in need of an update

2013

Abstract This study reviews the development of research on register variation (RV) over the last century to the present, emphasizing the influence of corpus analyses on its greatest advances and also on its major weaknesses and ambiguities. In search of practical and useful methods to analyse language registers, in the second part of the paper, the authors sketch a different approach to RV which has been used over the last ten years in language teaching at university level and professional communication training.

Register (sociolinguistics)Professional communicationCorpus analysisbusiness.industryComputer scienceLanguage educationcomputer.software_genreField (computer science)LinguisticsSketchFILOLOGIA INGLESACorpus analysisVariation (linguistics)Corpus linguisticsLanguage educationGeneral Materials ScienceArtificial intelligenceLanguage registersEnglish varietiesbusinesscomputerNatural language processing
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Register Variation Across English Pharmaceutical Texts: A Corpus-driven Study of Keywords, Lexical Bundles and Phrase Frames in Patient Information L…

2013

Abstract This study constitutes an initial step towards filling a gap in corpus linguistics studies of linguistic and phraseological variation across English pharmaceutical texts, in particular in terms of recurrent linguistic patterns. The study conducted from a register- perspective ( Biber & Conrad, 2009 ), which employs both quantitative and qualitative research procedures, aims to provide a corpus-driven description of vocabulary and phraseology, namely key words, lexical bundles, and phrase frames, used in patient information leaflets and summaries of product characteristics (represented by 463 and 146 texts, respectively) written originally in English and collected in two domain-spec…

Register (sociolinguistics)VocabularyPhrasephrase framesComputer sciencemedia_common.quotation_subjectcorpus linguisticscomputer.software_genreCorpus linguisticslexical bundlespharmaceutical textsphraseologyGeneral Materials Sciencemedia_commoncomputer.programming_languagebusiness.industrykeywordsLinguisticsLexicographyVariation (linguistics)Phraseologyregister analysisText typesArtificial intelligenceLexicobusinesscomputerNatural language processingProcedia - Social and Behavioral Sciences
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An Empirical Evaluation of Common Vector Based Classification Methods and Some Extensions

2008

An empirical evaluation of linear and kernel common vector based approaches has been considered in this work. Both versions are extended by considering directions (attributes) that carry out very little information as if they were null. Experiments on different kinds of data confirm that using this as a regularization parameter leads to usually better (and never worse) results than the basic algorithms.

Regularization (physics)Classification methodsData miningcomputer.software_genrecomputerMathematics
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The Algorithm of a Game-Based System in the Relation between an Operator and a Technical Object in Management of E-Commerce Logistics Processes with …

2021

Machine learning (ML) is applied in various logistic processes utilizing innovative techniques (e.g., the use of drones for automated delivery in e-commerce). Early challenges showed the insufficient drones’ steering capacity and cognitive gap related to the lack of theoretical foundation for controlling algorithms. The aim of this paper is to present a game-based algorithm of controlling behaviours in the relation between an operator (OP) and a technical object (TO), based on the assumption that the game is logistics-oriented and the algorithm is to support ML applied in e-commerce optimization management. Algebraic methods, including matrices, Lagrange functions, systems of differential e…

Relation (database)Computer scienceProcess (engineering)TP1-1185NotationMachine learningcomputer.software_genreBiochemistryOutcome (game theory)ArticleAnalytical ChemistryMachine LearningSet (abstract data type)Operator (computer programming)machine learning algorithms0502 economics and businessHumanse-commerceComputer SimulationElectrical and Electronic Engineeringa logistics zero-sum gameInstrumentationcomputer.programming_languagebusiness.industryChemical technology05 social sciencesCommerceBayesian networkBayes TheoremPython (programming language)Atomic and Molecular Physics and Opticsa game-based systemBayesian network050211 marketingArtificial intelligencebusinesscomputerAlgorithmAlgorithms050203 business & managementSensors
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Cloud Infrastructure for Skin Cancer Scalable Detection System

2018

Skin cancer diagnostics is one of the medical areas where early diagnostic allows achieving patients’ high survival rate. Typically, skin cancer diagnostic is performed by dermatologist, since the amount of such specialists is limited, mortality rate is high [1]. By creating the low cost and easy to use diagnostic device, it is possible to bring skin cancer diagnostic to primary care physicians and allow to check much more persons and diagnose skin cancer on the early stages. There are several existing devices, that provide skin cancer diagnostics [2]. Most of them process the skin images locally and have limited diagnostic capabilities; some of them send images to dermatologists for manual…

Relation (database)Computer sciencebusiness.industryReal-time computingProcess (computing)Image processingCloud computingLoad balancing (computing)computer.software_genremedicine.diseaseVisualizationResource (project management)Virtual machineScalabilitymedicineSkin cancerMATLABbusinesscomputercomputer.programming_language2018 Advances in Wireless and Optical Communications (RTUWO)
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Multi-State System in human reliability analysis

2009

Application of mathematical model of Multi-State System for human reliability analysis is considered in the paper. This paper describes new method for estimation of changes of more than one component states and they influence to Multi-State System reliability by Dynamic Reliability Indices. The Multi-State System failure is considered depending on decrease of some system component efficiency and the Multi-State System repair is declared depending on replacement of some failed components. The mathematical approach of Logical Differential Calculus is used for analysis of the Multi-State System reliability change that is caused by modifications of some system components states.

Reliability theoryComputer scienceComponent (UML)Decision treeDifferential calculusApplication softwarecomputer.software_genreMaintenance engineeringcomputerReliability (statistics)Human reliabilityReliability engineering2009 2nd Conference on Human System Interactions
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On Distinguishing between Reliable and Unreliable Sensors Without a Knowledge of the Ground Truth

2015

In many applications, data from different sensors are aggregated in order to obtain more reliable information about the process that the sensors are monitoring. However, the quality of the aggregated information is intricately dependent on the reliability of the individual sensors. In fact, unreliable sensors will tend to report erroneous values of the ground truth, and thus degrade the quality of the fused information. Finding strategies to identify unreliable sensors can assist in having a counter-effect on their respective detrimental influences on the fusion process, and this has has been a focal concern in the literature. The purpose of this paper is to propose a solution to an extreme…

Reliability theoryGround truthWeighted Majority AlgorithmLearning automataSensor Fusionbusiness.industryComputer scienceReliability (computer networking)media_common.quotation_subjectLearning Automatacomputer.software_genreSensor fusionMachine learningQuality (business)Data miningArtificial intelligencebusinesscomputermedia_common2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)
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Studying religious music at the grassroots level: a look into the discourse practices of Christian metal bands online

2013

Religious issues are studied in various ways, most prominently by sociologists of religion. This paper suggests that in today’s world of globally intersecting webs of people, places, ideas and action, scholars and readers interested in religion will find themselves benefiting from cross-disciplinary approaches which help them to conceptualize and describe today’s phenomena at different levels. This paper describes how the emerging discipline of the sociology of language and religion may be applied to studying Christian metal bands’ discourse online. Although previous studies give a good idea of the structures, practices and tendencies in and related to Christian metal, little is reported on…

Religious changeMusic and religionSociology of religionTransnationalismIdentity (social science)Popular cultureMedia and religioncomputer.software_genreChristianityHeavy metal (Music)Social mediaGrassrootsSociology and religionLanguage and religionChristian rock musicSocial mediaSociologyDigital mediaInternetOnline presence managementlcsh:BL1-50Media studieslcsh:Religion (General)Gender studiesPopular cultureChristianitySociology of languageArtikkelitcomputerGlobalizationScripta Instituti Donneriani Aboensis
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Data sets for energy rating of photovoltaic modules

2013

Abstract A proposal for generating standard climatic data sets for use in energy rating of photovoltaic (PV) modules is presented which will give a good comparability between different technologies. The current proposal of standard data sets consisting of “typical days” do not give realistic estimates of PV performance and thus is not sufficient as a rating standard. A dataset striking the balance between being significant for any location but does not consisting of too much data is required. A method to generate such a dataset is presented, meeting all the requirements of an international standard while being sufficiently accurate to differentiate between different devices of different man…

Renewable Energy Sustainability and the EnvironmentComputer science020209 energyInternational standardPhotovoltaic systemComparability02 engineering and technologyVariation (game tree)021001 nanoscience & nanotechnologycomputer.software_genre7. Clean energyWork (electrical)13. Climate action0202 electrical engineering electronic engineering information engineeringInformation systemGeneral Materials ScienceRelevance (information retrieval)Data mining0210 nano-technologycomputerEnergy (signal processing)Solar Energy
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