Search results for "Support"

showing 10 items of 2310 documents

Fast Nash Hybridized Evolutionary Algorithms for Single and Multi-objective Design Optimization in Engineering

2014

Evolutionary Algorithms (EAs) are one of advanced intelligent systems and they occupied an important position in the class of optimizers for solving single-objective/reverse/inverse design and multi-objective/multi physics design problems in engineering. The chapter hybridizes the Genetic Algorithms (GAs) based computational intelligent system (CIS) with the concept of Nash-Equilibrium as an optimization pre-conditioner to accelerate the optimization procedure. Hybridized GAs and simple GAs are validated through solving five complex single-objective and multi-objective mathematical design problems. For real-world design problems, the hybridized GAs (Hybrid Intelligent System) and the origin…

Mathematical optimizationbusiness.industryEvolutionary algorithmIntelligent decision support systemInverseCADcomputer.software_genreFinite element methodHybrid intelligent systemSoftwareComputer Aided DesignArtificial intelligencebusinesscomputer
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Decision making in multiobjective optimization problems under uncertainty: balancing between robustness and quality

2018

As an emerging research field, multiobjective robust optimization employs minmax robustness as the most commonly used concept. Light robustness is a concept in which a parameter, tolerable degradations, can be used to control the loss in the objective function values in the most typical scenario for gaining in robustness. In this paper, we develop a lightly robust interactive multiobjective optimization method, LiRoMo, to support a decision maker to find a most preferred lightly robust efficient solution with a good balance between robustness and the objective function values in the most typical scenario. In LiRoMo, we formulate a lightly robust subproblem utilizing an achievement scalarizi…

Mathematical optimizationdecision supportOptimization problemmultiobjective robust optimizationComputer sciencepäätöksenteko0211 other engineering and technologies02 engineering and technologyManagement Science and Operations ResearchMulti-objective optimizationoptimointiRobustness (computer science)0502 economics and business050210 logistics & transportation021103 operations research05 social scienceslight robust efficiencyRobust optimizationinteractive methodshandling uncertaintyDecision makerMinimaxmonitavoiteoptimointiepävarmuusVisualizationMultiobjective optimization problemtrade-off between robustness and qualityBusiness Management and Accounting (miscellaneous)OR Spectrum
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Problem solving: competence for the enhancement of talents. A research with future primary school and kindergarten support teachers

2021

Education to achieve individual talent must become a priority in the educational process in order to contribute to the construction of a sustainable society. Training teachers to promote talent in students means guaranteeing each person the educational success and the achievement of their maximum potential. If problem solving becomes a tool for the enhancement of talent in the classroom, training in this competence becomes essential. In the educational field, talent and excellence are based on a unique attitude or an accentuated interest that a person possesses. The topic of the ability to solve educational problems by those who are going to carry out the profession of teacher implies the a…

Mathematics educationProblem solving support teachers skill talent.PsychologyCompetence (human resources)
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Predicting sediment deposition rate in check-dams using machine learning techniques and high-resolution DEMs

2021

Sediments accumulated in check dams are a valuable measure to estimate soil erosion rates. Here, geographic information systems (GIS) and three machine learning techniques (MARS-multivariate adaptive regression splines, RF-random forest and SVM-support vector machine) were used, for the first time, to predict sediment deposition rate (SR) in check-dams located in six watersheds in SW Spain. There, 160 dry-stone check dams (~ 77.8 check-dams km−2), accumulated sediments during a period that varied from 11 to 23 years. The SR was estimated in former research using a topographical method and a high-resolution Digital Elevation Model (DEM) (average of 0.14 m3 ha−1 year−1). Nine environmental-to…

Mean squared error0208 environmental biotechnologyMean absolute errorSoil ScienceHigh resolution02 engineering and technology010501 environmental sciencesMachine learningcomputer.software_genre01 natural sciencesEnvironmental ChemistryDigital elevation model0105 earth and related environmental sciencesEarth-Surface ProcessesWater Science and TechnologyGlobal and Planetary ChangeMultivariate adaptive regression splinesbusiness.industryGeologyMars Exploration ProgramPollution020801 environmental engineeringCheck dam Machine learning techniques Sediment deposition rate (SR) Structure-from-motion (SfM) Unmanned aerial vehicle (UAV)Support vector machineArtificial intelligencebusinesscomputerCheck dam
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Therapeutic Drug Monitoring of Kidney Transplant Recipients Using Profiled Support Vector Machines

2007

This paper proposes a twofold approach for therapeutic drug monitoring (TDM) of kidney recipients using support vector machines (SVMs), for both predicting and detecting Cyclosporine A (CyA) blood concentrations. The final goal is to build useful, robust, and ultimately understandable models for individualizing the dosage of CyA. We compare SVMs with several neural network models, such as the multilayer perceptron (MLP), the Elman recurrent network, finite/infinite impulse response networks, and neural network ARMAX approaches. In addition, we present a profile-dependent SVM (PD-SVM), which incorporates a priori knowledge in both tasks. Models are compared numerically, statistically, and in…

Mean squared errorComputer sciencecomputer.software_genreBlood concentrationmedicineElectrical and Electronic EngineeringInfinite impulse responseKidney transplantationArtificial neural networkmedicine.diagnostic_testbusiness.industryPattern recognitionmedicine.diseaseComputer Science ApplicationsHuman-Computer InteractionSupport vector machineNoiseAutoregressive modelControl and Systems EngineeringTherapeutic drug monitoringMultilayer perceptronData miningArtificial intelligencebusinesscomputerSoftwareInformation SystemsIEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)
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Classifying efficient alternatives in SMAA using cross confidence factors

2006

Abstract Stochastic multicriteria acceptability analysis (SMAA) is a family of methods for aiding multicriteria group decision making. These methods are based on exploring the weight space in order to describe the preferences that make each alternative the most preferred one. The main results of the analysis are rank acceptability indices, central weight vectors and confidence factors for different alternatives. The rank acceptability indices describe the variety of different preferences resulting in a certain rank for an alternative; the central weight vectors represent the typical preferences favouring each alternative; and the confidence factors measure whether the criteria data are suff…

Measure (data warehouse)Decision support systemInformation Systems and ManagementGeneral Computer ScienceOperations researchStochastic modellingbusiness.industryLow ConfidenceRank (computer programming)Management Science and Operations ResearchMachine learningcomputer.software_genreIndustrial and Manufacturing EngineeringVariety (cybernetics)Group decision-makingModeling and SimulationData envelopment analysisArtificial intelligencebusinesscomputerMathematicsEuropean Journal of Operational Research
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Stochastic Multicriteria Acceptability Analysis (SMAA)

2010

Stochastic multicriteria acceptability analysis (SMAA) is a family of methods for aiding multicriteria group decision making in problems with uncertain, imprecise or partially missing information. These methods are based on exploring the weight space in order to describe the preferences that make each alternative the most preferred one, or that would give a certain rank for a specific alternative. The main results of the analysis are rank acceptability indices, central weight vectors and confidence factors for different alternatives. The rank acceptability indices describe the variety of different preferences resulting in a certain rank for an alternative, the central weight vectors represe…

Measure (data warehouse)Decision support systemOperations researchComputer scienceRank (computer programming)Decision problemMultiple-criteria decision analysisPreference (economics)Variety (cybernetics)Group decision-making
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The Transition from Middle School to High School: The Mediating Role of Perceived Peer Support in the Relationship between Family Functioning and Sch…

2018

The study focused on the transition from middle school to high school and aimed to verify the mediating role that perceived peer support may play in the relationship between family functioning in middle school and school satisfaction in high school. In middle school (Wave 1), participants were 208 adolescents (106 boys and 102 girls) aged 12–13 years (M = 12.56; SD = .61), attending the last classes of two middle public schools located in Italy. One year later (Wave 2), 155 adolescents (76 boys and 79 girls) participated again in the study when they attended the first classes of high school (M = 13.91; SD = .75). Participants completed the Italian Version of Family Assessment Device and the…

Mediation (Marxist theory and media studies)Subjective perceptionFamily functioningeducation05 social sciences050301 educationLife satisfactionPeer supportDevelopmental psychologyPeer relationsSettore M-PSI/04 - Psicologia Dello Sviluppo E Psicologia Dell'EducazioneSocial supportScale (social sciences)Developmental and Educational Psychology0501 psychology and cognitive sciencesTransition to high school Perceived peer support Family functioning School satisfactionLife-span and Life-course StudiesPsychology0503 educationSettore M-PED/03 - Didattica E Pedagogia Speciale050104 developmental & child psychologyJournal of Child and Family Studies
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Patterns of Psychological Responses among the Public during the Early Phase of COVID-19: A Cross-Regional Analysis

2021

This study aimed to compare the mediation of psychological flexibility, prosociality and coping in the impacts of illness perceptions toward COVID-19 on mental health among seven regions. Convenience sampled online survey was conducted between April and June 2020 from 9130 citizens in 21 countries. Illness perceptions toward COVID-19, psychological flexibility, prosociality, coping and mental health, socio-demographics, lockdown-related variables and COVID-19 status were assessed. Results showed that psychological flexibility was the only significant mediator in the relationship between illness perceptions toward COVID-19 and mental health across all regions (all ps = 0.001–0.021). Seeking …

Mediation (statistics)Coping (psychology)Coronavirus disease 2019 (COVID-19)Health Toxicology and Mutagenesisprosocialitylcsh:Medicine[SHS.PSY]Humanities and Social Sciences/PsychologySample (statistics)prososiaalisuusMedical and Health Sciencespsychological flexibilitypandemiatArticle[SHS]Humanities and Social SciencesSalud mentaljoustavuus03 medical and health sciencesSocial supporthenkinen hyvinvointi0302 clinical medicinemielenterveysEfectos psicológicosEpidemiaAdaptation PsychologicalHumanssurvey030212 general & internal medicineComputingMilieux_MISCELLANEOUSSARS-CoV-2lcsh:Rpsyykkiset vaikutuksetPublic Health Environmental and Occupational HealthFlexibility (personality)COVID-1916. Peace & justiceMental healthEastern europeanCoronavirusCommunicable Disease ControlHong KongClinical MedicinePsychology030217 neurology & neurosurgerymental healthClinical psychologyInternational Journal of Environmental Research and Public Health
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Parenting Stress in Mothers of Children With Autism Without Intellectual Disability. Mediation of Behavioral Problems and Coping Strategies

2019

The present study investigated the mediating role of behavioral difficulties, coping strategies, and social functional support in the relationship between symptoms severity and parenting stress in mothers of children with ASD (autism spectrum disorder). The parenting stress questionnaire, coping orientation to problems experienced scale, strengths and difficulties questionnaire, and Duke-UNC social support questionnaire were administered to 52 mothers, who also estimated the ASD severity symptoms of their children. Correlation analyses revealed that parenting stress was positively correlated with the children's ASD symptoms and behavioral problems. On the other hand, parenting stress was ne…

Mediation (statistics)Coping (psychology)lcsh:BF1-990parental stresscoping strategiesASD050105 experimental psychology03 medical and health sciencesSocial support0302 clinical medicineIntellectual disabilitymedicinePsychology0501 psychology and cognitive sciencesmediation analysisGeneral PsychologyOriginal Research05 social sciencesParenting stressStrengths and Difficulties Questionnairesocial supportmedicine.diseaselcsh:PsychologyAutism spectrum disorderAutismPsychology030217 neurology & neurosurgeryClinical psychologyFrontiers in Psychology
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