Search results for "Artificial"

showing 10 items of 7394 documents

Performance Evaluation for a Sustainable Supply Chain Management System in the Automotive Industry Using Artificial Intelligence

2020

Increasing the sustainability of a system can be achieved by evaluating the system, identifying the issues and their root cause and solving them. Performance evaluation translates into key performance indicators (KPIs) with a high impact on increasing overall efficacy and efficiency. As the pool of KPIs has increased over time in the context of evaluating the supply chain management (SCM) system&rsquo

neural networkComputer scienceSupply chainAutomotive industryBioengineeringContext (language use)010501 environmental scienceslcsh:Chemical technologyrisk management01 natural scienceslcsh:Chemistry0502 economics and businessChemical Engineering (miscellaneous)lcsh:TP1-1185Risk management0105 earth and related environmental sciencesSupply chain managementbusiness.industryProcess Chemistry and Technology05 social sciencesdata miningRoot causeartificial intelligenceperformance evaluationlcsh:QD1-999key performance indicatorManagement systemArtificial intelligencePerformance indicatorbusiness050203 business & managementProcesses
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Mixtures identification of chemical compounds on the basis of their IR spectra by artificial intelligence

2012

Infrared (IR) spectrometric identification of individual chemical compounds from their mixtures is still a challenging process. Therefore, we developed a method in which we use the IR “Fingerprint” spectra of a particular chemical substance followed by artificial intelligence (AI) – based analysis to correctly characterise components of relatively simple chemical mixtures. We describe here the assembly of tools developed especially for this purpose as well as the artificial neural network design together with the requirements that must be met for its proper functioning. To test our approach, we used a mixture of amphetamine and creatinine which are difficult to identify in mixtures by stand…

neural networkchemical compoundsinfrared spectroscopyartificial intelligenceEcological Chemistry and Engineering. A
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Identifying the Neurocognitive bases of creativity to increase human and computational creativity

2022

En esta Tesis Doctoral se ha identificado la estructura neurocognitiva que sustenta la creatividad humana a partir del análisis conjunto de más de 800 referencias bibliográficas que muestran las investigaciones más importantes realizadas hasta la fecha. Sobre la base de esta estructura, se ha identificado un paradigma neurocognitivo de la creatividad humana y se ha propuesto un modelo neurocognitivo del proceso creativo. Finalmente, también se ha propuesto un paradigma creativo neurocognitivo computacional y se ha diseñado la estructura de un sistema computacional creativo, basado en una estructura multiagente. La investigación que se ha realizado sobre el tema hasta la fecha es muy especia…

neurocognitive model of creative processstimulation of human creativityaugmented creativity devicescomputational creativityhuman creativity:PSICOLOGÍA [UNESCO]neurocognitive bases of human creativityUNESCO::PSICOLOGÍAartificial intelligencecreativity
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Ghost stochastic resonance in FitzHugh–Nagumo circuit

2014

International audience; The response of a neural circuit submitted to a bi-chromatic stimulus and corrupted by noise is investigated. In the presence of noise, when the spike firing of the circuit is analysed, a frequency not present at the circuit input appears. For a given range of noise intensities, it is shown that this ghost frequency is almost exclusively present in the interspike interval distribution. This phenomenon is for the first time shown experimentally in a FitzHugh-Nagumo circuit.

noise[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingInterval distribution[ NLIN.NLIN-CD ] Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD][ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingStochastic ResonanceComputer Science::Hardware ArchitectureComputer Science::Emerging Technologies[NLIN.NLIN-PS]Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS][INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingElectronic engineering[ NLIN.NLIN-PS ] Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS]Electrical and Electronic EngineeringMathematicsCircuit noiseQuantitative Biology::Neurons and CognitionArtificial neural networkStochastic processMathematical analysisneural networksFitzhugh nagumo[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/ElectronicsHarmonics[NLIN.NLIN-CD]Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD]Nonlinear network analysis[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingElectronics Letters
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Neural Classification of Compost Maturity by Means of the Self-Organising Feature Map Artificial Neural Network and Learning Vector Quantization Algo…

2019

Self-Organising Feature Map (SOFM) neural models and the Learning Vector Quantization (LVQ) algorithm were used to produce a classifier identifying the quality classes of compost, according to the degree of its maturation within a period of time recorded in digital images. Digital images of compost at different stages of maturation were taken in a laboratory. They were used to generate an SOFM neural topological map with centres of concentration of the classified cases. The radial neurons on the map were adequately labelled to represent five suggested quality classes describing the degree of maturation of the composted organic matter. This enabled the creation of a neural separator classify…

non-parametric classificationComputer science020209 energyHealth Toxicology and Mutagenesislcsh:Medicine02 engineering and technology010501 environmental sciencesengineering.material01 natural sciencesArticleDigital imageSoftwareArtificial Intelligence0202 electrical engineering electronic engineering information engineeringLearningTopological map0105 earth and related environmental sciencesLVQ algorithmLearning vector quantizationArtificial neural networkSOFM neural networkCompostbusiness.industryCompostinglcsh:RPublic Health Environmental and Occupational Health<i>LVQ</i> algorithmengineeringNeural Networks ComputerbusinessClassifier (UML)AlgorithmAlgorithmsSoftwareInternational Journal of Environmental Research and Public Health
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Very narrow quantum OBDDs and width hierarchies for classical OBDDs

2014

In the paper we investigate a model for computing of Boolean functions - Ordered Binary Decision Diagrams (OBDDs), which is a restricted version of Branching Programs. We present several results on the comparative complexity for several variants of OBDD models. - We present some results on the comparative complexity of classical and quantum OBDDs. We consider a partial function depending on a parameter k such that for any k > 0 this function is computed by an exact quantum OBDD of width 2, but any classical OBDD (deterministic or stable bounded-error probabilistic) needs width 2 k+1. - We consider quantum and classical nondeterminism. We show that quantum nondeterminism can be more efficien…

nondeterminismFOS: Computer and information sciencespartial functionsGeneral Mathematicsquantum computation010102 general mathematics0102 computer and information sciencesOBDDComputational Complexity (cs.CC)Computer Science::Artificial IntelligenceComputer Science::Computational Complexity01 natural scienceswidth hierarchyComputer Science - Computational Complexity010201 computation theory & mathematicsComputer Science::Logic in Computer Science0101 mathematics
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Wiener-Granger Causality in Network Physiology with Applications to Cardiovascular Control and Neuroscience

2016

Since the operative definition given by C. W. J. Granger of an idea expressed by N. Wiener, the Wiener–Granger causality (WGC) has been one of the most relevant concepts exploited by modern time series analysis. Indeed, in networks formed by multiple components, working according to the notion of segregation and interacting with each other according to the principle of integration, inferring causality has opened a window on the effective connectivity of the network and has linked experimental evidences to functions and mechanisms. This tutorial reviews predictability improvement, information-based and frequency domain methods for inferring WGC among physiological processes from multivariate…

nonlinear dynamicComputer scienceReliability (computer networking)Biomedical signal processingPhysiologyCardiovascular controldynamical systemdirectionalityGranger causalitymultivariate regression modelingtime series analysiPredictabilityTime seriesElectrical and Electronic EngineeringStatistical hypothesis testingbusiness.industryheart rate variabilitytransfer entropypartial directed coherencepredictioncoupling strengthCausalityconditional mutual informationFrequency domainspectral decompositionSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaArtificial intelligencebusinesscomplexityNeuroscience
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Explaining Causes Behind SQL Query Formulation Errors

2020

This Full Research Paper presents the most prominent query formulation errors in Structured Query Language (SQL), and maps these errors to their cognitive explanations. Understanding query formulation errors is a key to teaching SQL. more effectively. However, studies on what kind of errors novices struggle with are relatively scarce when compared to, for example, programming languages. Although committing errors is a crucial part in learning, some errors are relatively easy to fix, and their commonness is not necessarily an indication of their difficulty. Other errors, however, halt the learning process, and are never fixed by the query writer. Using a previously established error taxonomy…

noviceSQLoppiminenComputer scienceJoins02 engineering and technologySemanticscomputer.software_genrekyselykieletohjelmointikieletSet (abstract data type)020204 information systems0202 electrical engineering electronic engineering information engineeringdatabasecomputer.programming_languageeducationSQLSyntax (programming languages)business.industry05 social sciences050301 educationRelational operatorerrorStructured Query Language (SQL)koulutusvirheetArtificial intelligencebusiness0503 educationcomputerNatural language processingNatural language2020 IEEE Frontiers in Education Conference (FIE)
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Tecnologie Robotiche e responsabilità extracontrattuale: un'analisi comparata

2022

Attraverso un esame delle soluzioni giuridiche derivanti, da un lato, dal percorso normativo posto in essere dall’Unione Europea e, dall’altro lato, da quanto emerge dal case law in via di formazione nel mondo, con questo lavoro si vuole dimostrare che l’avvento delle tecnologie robotiche non comporta necessariamente l'individuazione di nuove categorie giuridiche né induce mutamenti radicali nel sistema consolidato dei principi della responsabilità civile. In questa prospettiva si vuole verificare se il ricorso alla categoria della responsabilità oggettiva possa consentire un livello di tutela adeguato del danneggiato senza per ciò stesso limitare o incidere negativamente sulla opera di inn…

nuove tecnologiecomparazioneResponsabilità civilerobotdiritto comparatoSettore IUS/02 - Diritto Privato Comparatointelligenza artificialeroboticaillecito aquiliano
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Tema 17_Nutrició enteral

2023

El document forma part dels materials docents programats mitjançant l'ajut del Servei de Política Lingüística de la Universitat de València. Es tracta de material docent de l’assignatura endocrinologia i nutrició II del Grau de Medicina. Correspon al tema 17 de l’assignatura. S’inclou una breu revisió de la nutrició enteral amb les indicacions i contraindicacions. This is teaching material for the endocrinology and nutrition II subject of the Degree in Medicine. Corresponds to topic 17 of the subject. A brief review of enteral nutrition with indications and contraindications is included.

nutrició artificialnutrició enteralUNESCO::CIENCIAS MÉDICAS ::Medicina interna::Endocrinología
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