Search results for "artificial intelligence"

showing 10 items of 6122 documents

Using Topic Modeling Methods for Short-Text Data: A Comparative Analysis

2020

With the growth of online social network platforms and applications, large amounts of textual user-generated content are created daily in the form of comments, reviews, and short-text messages. As a result, users often find it challenging to discover useful information or more on the topic being discussed from such content. Machine learning and natural language processing algorithms are used to analyze the massive amount of textual social media data available online, including topic modeling techniques that have gained popularity in recent years. This paper investigates the topic modeling subject and its common application areas, methods, and tools. Also, we examine and compare five frequen…

Topic modelshort textInformation retrievalSocial networkbusiness.industryLatent semantic analysisComputer scienceRandom projectiontopic modelingUser-generated contentSubject (documents)Context (language use)Latent Dirichlet allocationlcsh:QA75.5-76.95symbols.namesakeArtificial Intelligenceonline social networkssymbolsMethodslcsh:Electronic computers. Computer sciencenatural language processingbusinessuser-generated contentFrontiers in Artificial Intelligence
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Application of the group method of data handling (GMDH) approach for landslide susceptibility zonation using readily available spatial covariates

2022

Abstract Landslide susceptibility (LS) mapping is an essential tool for landslide risk assessment. This study aimed to provide a new approach with better performance for landslide mapping and adopting readily available variables. In addition, it investigates the capability of a state-of-the-art model developed using the group method of data handling (GMDH) to spatially model LS. Furthermore, hybridized models of GMDH were developed using different metaheuristic algorithms. The study area was the Bonghwa region of South Korea, for which an accurate landslide inventory dataset is available. We considered a total of 13 spatial covariates (altitude, slope, aspect, topographic wetness index, val…

Topographic Wetness IndexVariablesReceiver operating characteristicMean squared errorGroup method of data handlingmedia_common.quotation_subjectLandslideArtificial intelligence Data-scarcity Factor selection GIS Natural disasterscomputer.software_genreRegressionCovariateData miningcomputerEarth-Surface Processesmedia_commonMathematicsCATENA
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Topographic maps for clustering and fast identification of bacteria using 16s housekeeping gene

2012

In microbial identification the standard method to attribute a specific name to a bacterial isolate relays on the comparison of morphologic and phenotypic characters to those described for type or typical strains. In the last years a new standard for identifying bacteria using genotypic information began to be developed. In this new approach phylogenetic relationships of bacteria could be determined by comparing a stable part of the bacteria genetic code, the so called "housekeeping genes". The most commonly used gene for taxonomic purposes for bacteria is the 16S rRNA. The goal of this chapter is to show that genotypic features can be used to build a topographic map for clustering of a lar…

Topographic map clusteringSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniArtificial Intelligence
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On inductive dimensions for fuzzy topological spaces

1995

An approach to the dimension theory for fuzzy topological spaces is being developed. The appropriate context for this theory is not the category CFT of Chang fuzzy topological spaces or some of its modifications, but the category Hut introduced in the paper (this category is a slight extension of the category H of Hutton fuzzy topological spaces Hutton (1980). The frames of this category allow us to make exposition simple and uniform, and on the other hand to make it applicable in quite a general setting.

Topological algebraLogicTopological tensor productTopological spaceTopologyTopological vector spaceHomeomorphismAlgebraArtificial IntelligenceMathematics::Category TheoryDimension theoryCategory of topological spacesMathematicsZero-dimensional spaceFuzzy Sets and Systems
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Mixed Harmonic Elimination Control for a Single-Phase 9 Level Grid-Connected Inverter

2018

The power quality requirements are increasingly stringent, due to the continuous growth of devices connected to the grid that introduce harmonics. These devices include DC to AC energy conversion systems, i.e. grid connected inverters. The design, control and operation of these systems must take into account the rules of interconnection to the electricity grid. To improve the quality of the output waveform of the grid-connected inverter, Multilevel Converters (MC) with selective harmonic elimination modulation technique can be used. This paper presents a single-phase nine level grid-connected inverter with DC/DC input stages. The obtained switching angles for THD minimization are independen…

Total harmonic distortionselective Harmonic elimination (SHE)business.industryComputer scienceTotal Harmonic Distortion (THD)Electrical engineeringModulation indexEnergy Engineering and Power TechnologyConvertersAC powerGridDC-AC conversionHarmonic MitigationSettore ING-IND/31 - ElettrotecnicaComputer Networks and CommunicationArtificial IntelligenceHarmonicsMultilevel InverterWaveformInverterSafety Risk Reliability and Qualitybusiness2018 International Conference on Smart Grid (icSmartGrid)
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Expressing digression linguistically: Do digressive markers exist?

2009

Abstract This paper analyzes the relationship between digressions and topic shifts in the light of the Spanish marker por cierto . Against the standard explanation, which takes digression as a well-established linguistic operation, digression is regarded as a rhetorical operation, underspecified at the linguistic level. The most conspicuous trace of digression, the so-called digressive markers , cannot be distinguished from topic shifters on the basis of the instruction provided by the marker alone. Thus, both types of markers should be grouped together as a single class, that of “new relevant information markers” (NRIMs). The perceived differences between topic shifters and digressive mark…

Trace (semiology)Linguistics and LanguageArtificial IntelligenceRhetorical questionSingle classPragmaticsPsychologyRelevant informationLanguage and LinguisticsDiscourse markerDigressionLinguisticsJournal of Pragmatics
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Hav, hage, teater og temperatur i Cora Sandels <i>Alberte</i>-bøker

2010

Current readings of Cora Sandel’s Alberta-trilogy (1926-1939) frequently tend to reuse the novels’ imagery in their own descriptive and interpretive statements – instead of treating this characteristic of the novels with the same degree of attention as, e.g., the trilogy’s psychological and political aspects, or its narrative technique. The present article attempts to draw attention to the trilogy’s imagery as a both autonomous and integral element in Cora Sandel’s novelistic art. Three metaphorical ways of thought which show their presence throughout the trilogy, are singled out: In the novels, the persons (and thus, implicitly or explicitly, the human condition) are frequently pictured as…

Trace (semiology)Politicsbusiness.industryTrilogySituatedArt historyNarrativeCentral functionArtificial intelligenceHuman conditionbusinessPsychologyObject (philosophy)Nordlit
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Open-source software tools for measuring resources consumption and DASH metrics

2020

When designing and deploying multimedia systems, it is essential to accurately know about the necessary requirements and the Quality of Service (QoS) offered to the customers. This paper presents two open-source software tools that contribute to these key needs. The first tool is able to measure and register resources consumption metrics for any Windows program (i.e. process id), like the CPU, GPU and RAM usage. Unlike the Task Manager, which requires manual visual inspection for just a subset of these metrics, the developed tool runs on top of the Powershell to periodically measure these metrics, calculate statistics, and register them in log files. The second tool is able to measure QoS m…

Traffic analysisComputer sciencebusiness.industryQuality of service0211 other engineering and technologiesByte02 engineering and technologycomputer.software_genreSoftwareDash0202 electrical engineering electronic engineering information engineeringOperating system020201 artificial intelligence & image processingProcess identifierCentral processing unitTask managerbusinesscomputer021106 design practice & management
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Capacity-based calculation of passenger car equivalents using traffic simulation at double-lane roundabouts

2018

Abstract Calculation of passenger car equivalents for heavy vehicles represents the starting point for the operational analysis of road facilities and other traffic management applications. This paper introduces a criterion to find the passenger car equivalents that reflect traffic conditions at double-lane roundabouts, where the capacity is typically estimated for each entry lane. Based on the equivalence defined by the proportion of capacity used by vehicles of different classes, the criterion implies a comparison between the capacity that would occur with a traffic demand of passenger cars only and the capacity reached beginning from a demand with a certain percentage of heavy vehicles. …

Traffic microsimulationGenetic algorithmAIMSUNPassenger car equivalentDouble-lane roundabout050210 logistics & transportationComputer scienceSubroutine05 social sciencesTraffic simulation02 engineering and technologyAutomotive engineeringSettore ING-INF/04 - AutomaticaHardware and ArchitectureModeling and Simulation0502 economics and businessTraffic conditionsRoundabout0202 electrical engineering electronic engineering information engineeringSettore ICAR/04 - Strade Ferrovie Ed Aeroporti020201 artificial intelligence & image processingSoftwareSimulation Modelling Practice and Theory
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Computer-Aided Diagnosis System with Backpropagation Artificial Neural Network—Improving Human Readers Performance

2016

This article presents the results of a study into possibility of artificial neural networks (ANNs) to classify cancer changes in mammographic images. Today’s Computer-Aided Detection (CAD) systems cannot detect 100 % of pathological changes. One of the properties of an ANN is generalized information —it can identify not only learned data but also data that is similar to training set. The combination of CAD and ANN could give better result and help radiologists to take the right decision.

Training setArtificial neural networkComputer sciencebusiness.industryComputer Science::Neural and Evolutionary ComputationPhysics::Medical PhysicsCADMachine learningcomputer.software_genreComputer aided detectionComputingMethodologies_PATTERNRECOGNITIONComputer-aided diagnosisArtificial intelligencebusinessartificial neural networks�mammographic imagescomputercomputer-aided detectionBackpropagation artificial neural network
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