Search results for "mallintaminen"

showing 10 items of 128 documents

Visualizations for Decision Support in Scenario-based Multiobjective Optimization

2021

Reproducibility artifacts for: Babooshka Shavazipour, Manuel López-Ibáñez, and Kaisa Miettinen. Visualizations for Decision Support in Scenario-based Multiobjective Optimization. Information Sciences, 2021. doi:10.1016/j.ins.2021.07.025. Abstract: We address challenges of decision problems when managers need to optimize several conflicting objectives simultaneously under uncertainty. We propose visualization tools to support the solution of such scenario-based multiobjective optimization problems. Suitable graphical visualizations are necessary to support managers in understanding, evaluating, and comparing the performances of management decisions according to all objec…

Visualization methodshaasteet (ongelmat)Decision support systemInformation Systems and ManagementComputer sciencevisualisointipäätöksentekoEmpirical attainment functionMachine learningcomputer.software_genreMulti-objective optimizationScenario planningTheoretical Computer ScienceConflicting objectivesoptimointiArtificial IntelligenceScenario-based multi-criteria optimizationMulti-dimensional visualizationMCDMScenario basedbusiness.industryUncertaintyExtension (predicate logic)Decision problemskenaariotmonitavoiteoptimointiComputer Science ApplicationsVisualizationControl and Systems EngineeringArtificial intelligencemallit (mallintaminen)businesscomputerSoftware
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LightSleepNet: A Lightweight Deep Model for Rapid Sleep Stage Classification with Spectrograms.

2021

Deep learning has achieved unprecedented success in sleep stage classification tasks, which starts to pave the way for potential real-world applications. However, due to its enormous size, deployment of deep neural networks is hindered by high cost at various aspects, such as computation power, storage, network bandwidth, power consumption, and hardware complexity. For further practical applications (e.g., wearable sleep monitoring devices), there is a need for simple and compact models. In this paper, we propose a lightweight model, namely LightSleepNet, for rapid sleep stage classification based on spectrograms. Our model is assembled by a much fewer number of model parameters compared to…

computational modelingmallintaminentrainingpower demandsignaalinkäsittelyunitutkimusdeep learningsyväoppiminenbiological system modelingbrain modelingElectroencephalographyneuroverkotDeep LearningEEGNeural Networks ComputerSleep StagessleepSleepAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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A dynamic adjustment model of saccade lengths in reading for word-spaced orthographies : evidence from simulations and invisible boundary experiments

2021

Contemporary models of eye movement control in reading assume a discrete target word selection process preceding saccade length computation, while the selection itself is assumed to be driven by word identification processes. However, a potentially more parsimonious, dynamic adjustment view allows both next word length and its content (e.g. orthographic) to modulate saccade length in a continuous manner. Based on a recently proposed center-based saccade length account (a new regression model of forward saccade length is introduced and validated in a simulation study. Further, additional simulations and gaze-contingent invisible boundary experiments were used to study the cognitive mechanism…

computational modelingmallintaminenword lengthsaccade lengthsanantunnistus (kognitio)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONEye movement controlkatseenseurantaExperimental and Cognitive Psychologykognitiiviset prosessitlukeminen
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On the mechanical stability and out-of-plane dynamics of a travelling panel submerged in axially flowing ideal fluid : a study into paper production …

2011

elastic stabilitymallintaminenpaperirainapaper makingmekaniikkaaxially movingpaperinvalmistusfluid-structure interactionmassa- ja paperiteollisuuslaskennallinen mekaniikkamenetelmätpotential flowpapermaking machineryFSIpaper webeigenvalue problemvalmistuspaneldynamiikkapaperikoneet
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Future supply of boreal forest ecosystem services is driven by management rather than by climate change

2022

Forests provide a wide variety of ecosystem services (ES) to society. The boreal biome is experiencing the highest rates of warming on the planet and increasing demand for forest products. To foresee how to maximize the adaptation of boreal forests to future warmer conditions and growing demands of forest products, we need a better understanding of the relative importance of forest management and climate change on the supply of ecosystem services. Here, using Finland as a boreal forest case study, we assessed the potential supply of a wide range of ES (timber, bilberry, cowberry, mushrooms, carbon storage, scenic beauty, species habitat availability and deadwood) given seven management regi…

forest dynamicsmallintaminenGlobal and Planetary ChangeEcologyFennoscandiasilvicultureilmastonmuutoksetmetsätluonnon monimuotoisuusbiodiversiteettimetsätalousekosysteemit (ekologia)boreaalinen vyöhykeekosysteemipalvelutFennoskandiaSuomiEnvironmental Chemistryecological modellingSIMO forest growth simulatorFinlandbiodiversityGeneral Environmental ScienceGlobal Change Biology
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Analysis of use case approaches to requirements engineering

2003

frameworkkuvauskieletmetamallintaminenmäärityskäyttötapausmetamodelingsystems developmentsysteemityökäyttövaatimuksetkehysUML
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Building on 150 Years of Knowledge : The Freshwater Isopod Asellus aquaticus as an Integrative Eco-Evolutionary Model System

2021

Interactions between organisms and their environments are central to how biological diversity arises and how natural populations and ecosystems respond to environmental change. These interactions involve processes by which phenotypes are affected by or respond to external conditions (e.g., via phenotypic plasticity or natural selection) as well as processes by which organisms reciprocally interact with the environment (e.g., via eco-evolutionary feedbacks). Organism-environment interactions can be highly dynamic and operate on different hierarchical levels, from genes and phenotypes to populations, communities, and ecosystems. Therefore, the study of organism-environment interactions requir…

freshwater ecosystemsAnimal model systems; ecosystem function; evolutionary ecology; freshwater ecosystems; integrative biology; organism-environment interactions; microbiomevesiekosysteemitmicrobiomeintegrative biologyAnimal model systemsorganism-environment interactionsevoluutioekologiamikrobistoevolutionary ecologysiiratecosystem functionmallit (mallintaminen)animal model systemvesiekologia
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Managing rapid application development risks with a graphical modeling method

2001

graafiset mallinnusmenetelmätmallintaminenmetamallitsovelluksetriskienhallintakehitys
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Itseopiskelumateriaalia: Kausaalimallintamisen perusteet tilastotieteessä

2016

Tämä moniste on tarkoitettu itseopiskelumateriaaliksi tilastotieteen maisterivaiheen opiskelijoille (tai vastaavat tiedot omaaville). Erityisesti todennäköisyyslaskennan ja yleistettyjen lineaaristen mallien tuntemus on tarpeen. Materiaalin tarkoituksena on selvittää lukijalle perusteet Judea Pearlin kehittämästä kausaalimallintamisesta ja -laskennasta. Materiaali perustuu Judea Pearlin kirjaan Causality [Pearl, 2009]. Lauseiden ja määritelmien kohdalla annetaan aina kirjan osio, josta nämä löytyvät. nonPeerReviewed

graafiteoriatilastotiedekausaalimallintaminen
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Dangerous relationships : biases in freshwater bioassessment based on observed to expected ratios

2018

Copyright by the Ecological Society of America The ecological assessment of freshwaters is currently primarily based on biological communities and the reference condition approach (RCA). In the RCA, the communities in streams and lakes disturbed by humans are compared with communities in reference conditions with no or minimal anthropogenic influence. The currently favored rationale is using selected community metrics for which the expected values (E) for each site are typically estimated from environmental variables using a predictive model based on the reference data. The proportional differences between the observed values (O) and E are then derived, and the decision rules for status ass…

inland waters0106 biological sciencesPercentilepäätöksentekomodelling (creation related to information)010501 environmental sciencesExpected value01 natural sciencescase studylakesStatisticsviitearvotfreshwatersMathematicsevaluationEcologyEcologyBiodiversityVariance (accounting)reference valuessimulationpredictive modelsekologia6. Clean waterreference condition approachmathematical modelsEnvironmental Monitoringmallintaminenecological statusCorrection methodta1172järvetdecision makingtapaustutkimusRiversAnimalssimulointiekologinen tila0105 earth and related environmental sciencesta112bioassessmentluokitus (toiminta)010604 marine biology & hydrobiologyEcological assessmentDecision rulesisävedetInvertebratesReference data13. Climate actionta1181classification errormatemaattiset mallitarviointiQuantileEcological Applications
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