Process-based
Estimating global carbon uptake by lichens and bryophytes with a process-based model
... In this paper, we present the first process-based model of global net carbon uptake by lichens and bryophytes. The model explicitly simulates processes such as photosynthesis and respiration to quantify ...
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A Stochastic Diffusion Process Based on the Two-Parameters Weibull Density Function
... This paper introduces a stochastic diffusion process based on the bi-parameter Weibull distribution. Section I contains the definition of the model and its characteristics where, in order to obtain the ...
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ECNICA A PROCESS-BASED CONTROL FOR EVOLVABLE PRODUCTION SYSTEMS
... concepts based on what has already been done, thus introducing a process-based approach to a MAS, while also supporting descriptions in ...be process-oriented from its top administrative level ...
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Process-based simple model for simulating sugarcane growth and production
... ABSTRACT: Dynamic simulation models can increase research effi ciency and improve risk man- agement of agriculture. Crop models are still little used for sugarcane (Saccharum spp.) because the lack of understanding of ...
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Process-based modelling of the methane balance in periglacial landscapes (JSBACH-methane)
... Thus, process-based modelling can contribute to understanding the role of methane emissions as long as widespread and long-term measurements remain ...
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A process-based account of the speed-ability relationship for the Posner Task
... A process-based approach is selected for studying the relationship between intelligence and the speed of information processing on the basis of the Posner ...
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SIMANIHOT: A PROCESS-BASED MODEL FOR SIMULATING GROWTH, DEVELOPMENT AND PRODUCTIVITY OF CASSAVA
... Process-based dynamic models are modern tools for simulation of growth, development, and productivity of several farming crops; they can be used for academic, scientific and extension studies and for ...
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Process-based indicators to assess storm induced coastal hazards
... Those include: overwash depth, potential and extent; shoreline, berm or dune retreat; vertical erosion; and inundation depth and extent.. The selection of a reduced set of process-base[r] ...
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PROCESS-BASED MODELLING OF THE INFORMATION SYSTEMS RESISTANCE PHENOMENON
... a process, with a beginning, middle, and ...the process in which users, perceiving a stimulus to resistance, choose between four adaptation strategies: maximization of benefits, satisficing of benefits, ...
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Estimating global carbon uptake by lichens and bryophytes with a process-based model
... Fig. 7. Comparison of net carbon uptake estimated by the model to observational data. Each symbol corresponds to a different field study site. Model estimates based on “average” as well as “maximum” weighting are ...
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ADAPTATION OF TEACHING PROCESS BASED ON A STUDENTS INDIVIDUAL LEARNING NEEDS
... be based on the type of student’s sensory ...be based on concepts of students’ approach – depth, strategic, supericial or based on the level of ...
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Process-based simulation of seasonality and drought stress in monoterpene emission models
... Fig. 3. Simulated and measured leaf scale monoterpene emissions at selected dates in 2006 from sunlit leaves of the well watered Holm oak site. Three models (BIM2, NIINEMETS, GUENTHER) are applied using SIM based ...
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Comparing YieldSAFE and CABALA, two process-based models with contrasting parameter requirements
... Soil is “tricky” to compare as Cabala calculates AW and YieldSAFE calculates total soil water and each one uses different equations in yield reduction factors. Still have to work the res[r] ...
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A GAUSSIAN PROCESS BASED MULTI-PERSON INTERACTION MODEL
... Gaussian Process is a stochastic process in which any finite subset of random variables has a Gaussian joint ...sian Process taking as input previous state and control sequences of the ...GP ...
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Comparing YieldSAFE and CABALA, two process-based models with contrasting parameter requirements
... Soil is “tricky” to compare as Cabala calculates AW and YieldSAFE calculates total soil water and each one uses different equ. Still have to work the results with empirical models and in[r] ...
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Process-based simulation of seasonality and drought stress in monoterpene emission models
... Enzyme activity has been determined in 2006 according to standard protocols described in Fischbach et al. (2000) using the same leaves as used for emission measurements. Enzy- matic data provide calibration information ...
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Process and project alignment methodology: A case study based analysis
... PIT-ProjectM metamodel [19] had been important as a visual language to facilitate communication with project team members. Through several projects iterations, project models identified the work (activities and work ...
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UM MODELO ESPAÇO-TEMPORAL BASEADO EM PROCESSOS GAUSSIANOS PARA PREVISÃO DE INCIDÊNCIA DE DENGUE
... C828s A spatio-temporal gaussian process-based model for forecasting dengue fever incidence.. Dissertação (mestrado) - Universidade Federal de.[r] ...
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Data Mining-driven Manufacturing Process Optimization
... during process planning and design. As there is no process execution data available for the novel process, similarity inspections of existing process- es have to be conducted to derive ...
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