Search results for "Machine"

showing 10 items of 2592 documents

Feature extraction for classification in knowledge discovery systems

2003

Dimensionality reduction is a very important step in the data mining process. In this paper, we consider feature extraction for classification tasks as a technique to overcome problems occurring because of "the curse of dimensionality". We consider three different eigenvector-based feature extraction approaches for classification. The summary of obtained results concerning the accuracy of classification schemes is presented and the issue of search for the most appropriate feature extraction method for a given data set is considered. A decision support system to aid in the integration of the feature extraction and classification processes is proposed. The goals and requirements set for the d…

Decision support systembusiness.industryComputer scienceDimensionality reductionFeature extractionMachine learningcomputer.software_genreKnowledge acquisitionk-nearest neighbors algorithmKnowledge extractionFeature (computer vision)Artificial intelligenceData miningbusinesscomputerCurse of dimensionalityKnowledge-Based Intelligent Information and Engineering Systems (Proceedings 7th International Conference, KES 2003, Oxford, UK, September 3-5, 2003), Part I
researchProduct

A fuzzy decision support tool for demand forecasting

2007

In this paper we present a decision support forecasting system to work with univariate time series based on the generalized exponential smoothing (Holt-Winters) approach. It is conceived as an integrated tool which has been implemented in Visual Basic. For improving the accuracy of the automatic forecasting it uses an optimization-based scheme which unifies the stages of estimation of the parameters and selects the best method using a fuzzy multicriteria approach. The elements of the set of local minima of the non-linear programming problems allow us to build the membership functions of the conflicting objectives. A set of real data is analyzed to show the performance of our forecasting too…

Decision support systembusiness.industryDecision theoryExponential smoothingFuzzy control systemDemand forecastingMachine learningcomputer.software_genreFuzzy logicNonlinear programmingArtificial intelligencebusinesscomputerEconomic forecastingMathematics2007 IEEE International Fuzzy Systems Conference
researchProduct

Dielectric and mechanical assessment of cellulosic insulation during transformer manufacturing

2021

Due to the impact of cellulose of paper insulation on transformer life, it is imperatire to remove moisture from the oil and the solid insulation. Several techniques have been implemented during manufacturing of power transformers to reduce water content in transformers. These drying processes can involve different costs and time, and they can damage the insulation paper. In this work, a drying process has been implemented in the laboratory trying to simulate the most aggressive conditions that can be suffered by the paper in transformer manufacturing in a real industry. Once the moisture content of papers was lower than 0.5%, the effect of the drying process on paper degradation was evalua…

Degree of polymerizationMaterials scienceCellulosic ethanolDielectric analysisDielectricComposite materialCellulosic insulationMoistureTransformer (machine learning model)Drying
researchProduct

Meta-analysis on the survival of short implants

2010

Objective: To evaluate the success and failure rates of short implants (10 mm or less) for oral rehabilitations in cases of limited bone height. Study Design: Review of the articles published on the topic between the years 2000 and 2010, and development of a descriptive meta-analysis of the results. Results: The majority of the studies obtain a cumulative success rate (CSR) similar to that of longer implants (92.5% - 98.42% for machined and rough-surface implants, respectively). The studies that record lower cumulative success rates (CSR) are later studies that analyze implants with a machined surface. Almost none of the studi-es compared the success/failure rates with the bone quality or l…

Dental Implantsmedicine.medical_specialtybusiness.industryClinical study designDentistry:CIENCIAS MÉDICAS [UNESCO]SurgeryShort implantsMachined surfaceOtorhinolaryngologyDental Prosthesis DesignMeta-analysisMaxillaBone qualityUNESCO::CIENCIAS MÉDICASmedicineHumansSurgeryImplantDental Restoration FailureBone heightbusinessGeneral Dentistry
researchProduct

Effect of Thermomechanical and Static Loading on the Load to Fracture of Metal‐Ceramic, Monolithic and Veneered Zirconia Posterior Fixed Partial Dent…

2018

PURPOSE To evaluate the influence of static (not preloaded) and thermomechanical loading on the load to fracture of metal-ceramic, monolithic and veneered zirconia computer-aided design/computer-aided manufacturing (CAD/CAM) posterior fixed partial dentures (FPDs). MATERIALS AND METHODS One hundred standardized specimens with 2 abutments screwed onto a platform were prepared from stainless steel to receive a posterior 3-unit FPD with an intermediate pontic. Specimens were randomly divided into 5 groups (n = 20): Metal-ceramic (control group), Lava Zirconia system, Vita In-Ceram YZ, IPS e.max ZirCAD, and Lava Plus. Half of the specimens of each group (n = 10) underwent no preloading, and the…

Dental Stress AnalysisMaterials scienceMetal Ceramic AlloysDental Abutments02 engineering and technologyCrossheadDental MaterialsRandom Allocation03 medical and health sciences0302 clinical medicineMaterials TestingFixed partial denturesCubic zirconiaDental Restoration FailureComposite materialGeneral DentistryUniversal testing machineFracture loadMonolithic zirconia030206 dentistryStainless Steel021001 nanoscience & nanotechnologyMetal ceramicDental VeneersFracture (geology)Computer-Aided DesignDenture Partial FixedStress MechanicalZirconium0210 nano-technologyJournal of Prosthodontics
researchProduct

Disinclusion of unerupted teeth by mean of self-ligating brackets: Effect of blood contamination on shear bond strength

2012

Objectives: The aim of this study was to assess the effect of blood contamination on the shear bond strength and failure site of three different orthodontic self-ligating brackets. Study Design: 240 bovine permanent mandibular incisors were randomly divided into 12 groups of 20 specimens each. Orthodontic self-ligating brackets were tested under four different enamel surface conditions: a) dry, b) blood contamination before priming, c) blood contamination after priming, d) blood contamination before and after priming. Brackets were bonded to the teeth and subsequently tested using a Instron universal testing machine. Shear bond strength values and adhesive failure rate were recorded. Statis…

Dental Stress AnalysisMaterials scienceOrthodontic BracketsBlood contaminationDentistryOdontologíaOrthodonticsDental bondingstomatognathic systemShear strengthAnimalsTooth UneruptedGeneral DentistryOrthodonticsUniversal testing machineEnamel paintBond strengthbusiness.industryDental Bonding:CIENCIAS MÉDICAS [UNESCO]Ciencias de la saludShear bondstomatognathic diseasesBloodOtorhinolaryngologyvisual_artUNESCO::CIENCIAS MÉDICASvisual_art.visual_art_mediumCattleResearch-ArticleSurgeryAdhesiveShear StrengthbusinessMedicina Oral Patología Oral y Cirugia Bucal
researchProduct

In vitro retentive strength of zirconium oxide ceramic crowns using different luting agents

2005

Statement of problem In contrast to gold crowns, in vitro determination of the retentive strength of all-ceramic crowns is more difficult because components allowing connection to testing apparatus are not as easily integrated into the all-ceramic material. Nevertheless, retentive strength data are crucial for obtaining information about the potential clinical performance of luting cements for all-ceramic restorations. Therefore, a new in vitro model was necessary to evaluate the retentive strength of all-ceramic crowns. Purpose The purpose of this in vitro study was to determine the retentive strength of 4 resin-cement systems, a compomer, a glass-ionomer cement, a resin-modified glass-ion…

Dental Stress AnalysisMaterials sciencemedicine.medical_treatmentDental CementsDentistryCrown (dentistry)Dental Prosthesis RetentionDental porcelainstomatognathic systemDental cementMaterials TestingmedicineHumansCeramicComposite materialCementationCementUniversal testing machineCrownsCompomersbusiness.industryLuting agentEpoxyDental PorcelainResin CementsGlass Ionomer Cementsvisual_artvisual_art.visual_art_mediumZirconiumOral SurgerybusinessThe Journal of Prosthetic Dentistry
researchProduct

Measurement of gap between abutment and fixture in dental conical connection implants. A focused ion beam SEM observation

2020

Background The aim of the authors was to examine the abutment-fixture interface in Morse-type conical implants in order to verify gaps at this level using a new microscopical approach. Material and Methods In this in vitro study, 20 abutment-fixture complexes were prepared by sectioning (longitudinal and cross-sectional to the long axis) with a microtome and then with a focused ion beam (FIB). This is a micrometric machine tool that uses gallium ions to abrade circumscribed areas to dig deeper into the cuts obtained with the microtome in order to eliminate cut-induced artifacts. This is because the FIB abrasion is practically free from artifacts, which are normally generated by the action o…

Dental Stress Analysisbusiness.product_categoryMaterials scienceScanning electron microscopemicrobial leakageDental AbutmentsFixtureFocused ion beamAbrasion (geology)law.inventionSettore MED/28 - MALATTIE ODONTOSTOMATOLOGICHE03 medical and health sciences0302 clinical medicineOpticslawfocused ion beam SEMMaterials TestingMicrotomeimplant-abutment connectionGeneral DentistryDental ImplantDental Implantsbusiness.industryResearchmorse taperDental Implant-Abutment Design030206 dentistryConical surface:CIENCIAS MÉDICAS [UNESCO]Machine toolCross-Sectional StudiesOtorhinolaryngologyUNESCO::CIENCIAS MÉDICASdental abutmentSurgerybusinessAbutment (dentistry)Implantology
researchProduct

How Quickly Can We Predict Users’ Ratings on Aesthetic Evaluations of Websites? Employing Machine Learning on Eye-Tracking Data

2020

This study examines how quickly we can predict users’ ratings on visual aesthetics in terms of simplicity, diversity, colorfulness, craftsmanship. To predict users’ ratings, first we capture gaze behavior while looking at high, neutral, and low visually appealing websites, followed by a survey regarding user perceptions on visual aesthetics towards the same websites. We conduct an experiment with 23 experienced users in online shopping, capture gaze behavior and through employing machine learning we examine how fast we can accurately predict their ratings. The findings show that after 25 s we can predict ratings with an error rate ranging from 9% to 11% depending on which facet of visual ae…

DesignArtificial IntelligenceMachine learningAestheticsVDP::Technology: 500::Information and communication technology: 550E-commerceEye-trackingArticle
researchProduct

Development of Methods for the Classification of EVOOs According to Their Genetic Variety

2012

The aim of this work was to construct an LDA model able to classify EVOOs according to their genetic variety by using FTIR data.

Development (topology)Computer sciencebusiness.industryArtificial intelligenceMachine learningcomputer.software_genreConstruct (philosophy)businesscomputerVariety (cybernetics)
researchProduct