Search results for " mining"

showing 10 items of 1548 documents

A proposed mapping method for aligning machine execution data to numerical control code

2019

The visions of the digital thread and smart manufacturing have boosted the potential of relating downstream data to upstream decisions in design. However, to date, the tools and methods to robustly map across the related data representations is significantly lacking. In response, we propose a mapping technique for standard manufacturing data representations. Specifically, we focus on relating controller data from machining tools in the form of MTConnect, an emerging standard that defines the vocabulary and semantics as well as communications protocols for execution data, and G-Code, the most widely used standard for numerical control (NC) instructions. We evaluate the efficacy of our mappin…

0209 industrial biotechnologyVocabulary021103 operations researchComputer sciencemedia_common.quotation_subject0211 other engineering and technologies02 engineering and technologyThread (computing)computer.software_genreData mappingData modeling020901 industrial engineering & automationMachiningMTConnectNumerical controlData miningCommunications protocolcomputermedia_common2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)
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Adjusted bat algorithm for tuning of support vector machine parameters

2016

Support vector machines are powerful and often used technique of supervised learning applied to classification. Quality of the constructed classifier can be improved by appropriate selection of the learning parameters. These parameters are often tuned using grid search with relatively large step. This optimization process can be done computationally more efficiently and more precisely using stochastic search metaheuristics. In this paper we propose adjusted bat algorithm for support vector machines parameter optimization and show that compared to the grid search it leads to a better classifier. We tested our approach on standard set of benchmark data sets from UCI machine learning repositor…

0209 industrial biotechnologyWake-sleep algorithmActive learning (machine learning)Computer scienceStability (learning theory)Linear classifier02 engineering and technologySemi-supervised learningcomputer.software_genreCross-validationRelevance vector machineKernel (linear algebra)020901 industrial engineering & automationLeast squares support vector machine0202 electrical engineering electronic engineering information engineeringMetaheuristicBat algorithmStructured support vector machinebusiness.industrySupervised learningOnline machine learningParticle swarm optimizationPattern recognitionPerceptronGeneralization errorSupport vector machineKernel methodComputational learning theoryMargin classifierHyperparameter optimization020201 artificial intelligence & image processingData miningArtificial intelligenceHyper-heuristicbusinesscomputer2016 IEEE Congress on Evolutionary Computation (CEC)
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Input Selection Methods for Soft Sensor Design: A Survey

2020

Soft Sensors (SSs) are inferential models used in many industrial fields. They allow for real-time estimation of hard-to-measure variables as a function of available data obtained from online sensors. SSs are generally built using industries historical databases through data-driven approaches. A critical issue in SS design concerns the selection of input variables, among those available in a candidate dataset. In the case of industrial processes, candidate inputs can reach great numbers, making the design computationally demanding and leading to poorly performing models. An input selection procedure is then necessary. Most used input selection approaches for SS design are addressed in this …

0209 industrial biotechnologylcsh:T58.5-58.64lcsh:Information technologyComputer Networks and CommunicationsComputer scienceFeature selectionprediction02 engineering and technologyFunction (mathematics)input selectionSoft sensorcomputer.software_genresoft sensor; inferential model; input selection; feature selection; regression; predictionfeature selection020901 industrial engineering & automationinferential model0202 electrical engineering electronic engineering information engineeringsoft sensorregression020201 artificial intelligence & image processingData miningInput selectioncomputerSelection (genetic algorithm)Future Internet
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Watermarking for ontologies

2011

In this paper, we study watermarking methods to prove the ownership of an ontology. Different from existing approaches, we propose to watermark not by altering existing statements, but by removing them. Thereby, our approach does not introduce false statements into the ontology. We show how ownership of ontologies can be established with provably tight probability bounds, even if only parts of the ontology are being re-used. We finally demonstrate the viability of our approach on real-world ontologies.

021110 strategic defence & security studiesInformation retrievalOpen worldComputer scienceOntology-based data integrationProcess ontologyData_MISCELLANEOUS0211 other engineering and technologiesWatermark02 engineering and technologyOntology (information science)computer.software_genre020204 information systems0202 electrical engineering electronic engineering information engineeringData miningDigital watermarkingSecurity parametercomputerISWC 2011: Proceedings of the 10th International Semantic Web Conference
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Selection of time windows in the horizontal-to-vertical noise spectral ratio by means of cluster analysis

2016

The selection of the elementary analysis windows in continuous noise recordings for optimal estimation of the mean horizontal‐to‐vertical spectral ratio (HVSR) curve is generally performed by visual inspection of HVSR curves considered as functions of time. Starting from full‐length records, HVSR curves are determined in consecutive time windows of appropriate lengths. Time windows with HVSR curves that are anomalous on the basis of a simple visual inspection are generally ignored in the computation of the average HVSR curve. It is often very difficult to optimize the selection of time windows to be used for the calculation of the HVSR curve representative of a site. The use of nonobjective…

021110 strategic defence & security studiesOptimal estimationComputationVisual comparison0211 other engineering and technologies02 engineering and technologySeismic noise010502 geochemistry & geophysicscomputer.software_genre01 natural sciencesNoiseSeismic hazardGeophysicsGeochemistry and PetrologySettore GEO/11 - Geofisica ApplicataData miningCluster analysisAlgorithmcomputerReliability (statistics)0105 earth and related environmental sciencesMathematics
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Reply to Saqibet al.

2016

03 medical and health sciences0302 clinical medicineText miningbusiness.industry030220 oncology & carcinogenesisGastroenterologyLibrary scienceMedicine030230 surgerybusinessColorectal Disease
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Umbilical Cord Blood Transplantation in Children and Adults

2018

Umbilical cord blood transplantation (UCBT) from unrelated donors is a suitable option of HSCT for patients in whom it is indicated, and a suitable related or unrelated BM or PB donor is not available in due time.

03 medical and health sciencesmedicine.medical_specialtysurgical procedures operative0302 clinical medicineText miningUmbilical Cord Blood Transplantationbusiness.industry030220 oncology & carcinogenesismedicinebusiness030215 immunologySurgery
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Update on the management of intra-abdominal Candida infections.

2017

0301 basic medicine03 medical and health sciencesmedicine.medical_specialtyInfectious DiseasesText miningbusiness.industryInternal medicine030106 microbiologymedicinebusinessMicrobiologyCandida infectionsRevista iberoamericana de micologia
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Implantation failure of endometrial origin: what is new?

2018

To review recent findings related to possible causes of recurrent implantation failure of endometrial origin in normal uterus.Recent evidences suggest that in apparently normal endometria, RIF may associate with molecular and functional changes in the uterus such as abnormal endometrial microbiota, including the presence of chronic endometritis, poor synchronization between the blastocyst and endometrium, and/or excessive uterine peristalsis. An altered endometrial microbiota detected by molecular techniques has been recently related to poorer embryo implantation, even in apparently normal endometria. The use of the endometrial receptivity analysis test to obtain an objective signature of e…

0301 basic medicine030219 obstetrics & reproductive medicinebusiness.industryUterusObstetrics and GynecologyBioinformaticsEmbryo TransferEmbryo transferUterine contraction03 medical and health sciencesEndometriumUterine Contraction030104 developmental biology0302 clinical medicineText miningmedicine.anatomical_structureImplantation failureMedicineHumansFemaleEmbryo Implantationmedicine.symptombusinessEndometritisCurrent opinion in obstetricsgynecology
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Assessment of tumor-infiltrating TCRV γ 9V δ 2 γδ lymphocyte abundance by deconvolution of human cancers microarrays

2017

Most human blood γδ cells are cytolytic TCRVγ9Vδ2+lymphocytes with antitumor activity. They are currently investigated in several clinical trials of cancer immunotherapy but so far, their tumor infiltration has not been systematically explored across human cancers. Novel algorithms allowing the deconvolution of bulk tumor transcriptomes to find the relative proportions of infiltrating leucocytes, such as CIBERSORT, should be appropriate for this aim but in practice they fail to accurately recognize γδ T lymphocytes. Here, by implementing machine learning from microarray data, we first improved the computational identification of blood-derived TCRVγ9Vδ2+γδ lymphocytes and then appl…

0301 basic medicineAcute promyelocytic leukemia[SDV.MHEP.HEM] Life Sciences [q-bio]/Human health and pathology/Hematologylcsh:Immunologic diseases. AllergyArtificial intelligenceMicroarrayLymphocytemedicine.medical_treatmentImmunologyInflammationchemical and pharmacologic phenomenagamma delta lymphocyteBiologydeconvolutionlcsh:RC254-28203 medical and health sciences0302 clinical medicineCancer immunotherapymedicineImmunology and AllergycancerOriginal ResearchTumor-infiltrating lymphocytesAntigen processingMyeloid leukemiahemic and immune systems[SDV.MHEP.HEM]Life Sciences [q-bio]/Human health and pathology/Hematologydata miningmedicine.diseaselcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens3. Good health030104 developmental biologymedicine.anatomical_structuremachine learningOncology030220 oncology & carcinogenesisImmunologymedicine.symptomlcsh:RC581-607microarraytranscriptome
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