empirical model-based approach
Dong, Lu (2011): Operational Retrieval of Surface Soil Moisture using Synthetic Aperture Radar Imagery in a Semi-arid Environment. Dissertation, LMU München: Fakultät für Geowissenschaften
... operational approach for surface soil moisture inversion, while roughness parameterisation is crucial but problematic, especially for small-scale studies, where fewer good results are reported from soil mois- ture ...
194
Prediction of Remaining Useful Life for Lithium-Ionbattery with Multiple Health Indicators
... data, empirical model is easier to be established. Based on batteries’ historical operational data, data-driven approach can extract the feature information and obtain the inherent degradation ...
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Progressive Fracturing of Softening Materials Under Dynamic Loading Conditions
... phenomenological approach based on the empirical formulation of stresses and strains is followed in this paper, utilising the theory of viscoplasticity in the general framework of the finite element ...
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Business Aviation in Germany: An empirical and model based analysis
... choice model based on a logit approach. This model differs significantly from other airport choice models for regular and tourism traffic in terms of the decision-relevant parameters: Factors ...
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A cost based empirical model of the aggregate price determination for the Turkish economy: a multivariate cointegration approach
... We assume that in a long-run perspective, the aggregate consumer prices level tend to be affected by some cost-factors, which are assumed to mainly be comprised of unit labor costs ULC a[r] ...
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A Logical Approach for Empirical Risk Minimization in Machine Learning for Data Stratification
... using empirical risk minimization to determine the communication cost which is independent of the data size, and is only weakly dependent on the number of machines and then designed and implemented a general ...
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Empirical Optimal Kernel for Convex Multiple Kernel Learning
... recent approach is to use a two-stage pro- cedure [5],[15], in which the first stage finds the optimal weights to combine the kernels, and the second stage trains a standard classifier using the combined ...a ...
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An Efficient Evolutionary and Cache Based Cooperative Communication in Wireless Sensor Network
... cache based approaches proposed by various authors but cache individually cannot increase the performance over ...this approach we are introducing an empirical model for cooperative ...
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Cost-effectiveness of enhancing adherence with oral bisphosphonates treatment in osteoporotic women: an empirical approach based on healthcare utilisation databases
... Cox model that includes these factors as time- dependent ...this approach each participant ’ s cumulative adherence is recalculated from the start of follow-up until the time of each outcome ...same ...
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Estimation of Regression Model Using a Two Stage Nonparametric Approach
... the empirical or theoretical qualitative information about the relationship between response variable and co- variates, we propose a new approach to model polynomial regression using a shape ...
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Remote Sensing of Evapotranspiration over the Central Arizona Irrigation & Drainage District, USA
... (VISW) model is an empirical ET estimation approach based on experimental data collected in Arizona [17,18,45–47], where wheat, cotton, and alfalfa crops were grown under controlled irrigation ...
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A parameterized relation for Vs-Kappa Corrections to adjust the global ground motion prediction equations to Swiss NPP sites
... Under the scope of PEGASOS Refinement Project (PRP), where probabilistic seismic hazard assessment is performed for the nuclear power plant sites in Switzerland, one of the key issue was adjusting ground motion equations ...
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An orientation field approach to modelling fibre generated spatial point processes
... this approach the orientation of integration in regions of the tensor field which exhibit low anisotropy are effectively adjusted in favour of fi- bres with particular features ...fibres). Based on these ...
199
Explorative study on a discrete particle model for sheet flow simulations
... Looking for a project for my masters thesis I came across a somewhat vague description of an opportunity to try and use a model used in chemical engineering for civil engineering purposes. The project looked like ...
114
Intervention Model for Analyzing the Impact of Terrorism to Tourism Industry
... ARIMA model before intervention: Using the ACF and PACF identification from stationery data through on non seasonal and seasonal differencing, we obtained two estimates for ARIMA model which is the ...
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SNP interaction pattern identifier (SIPI): an intensive search for SNP-SNP interaction patterns.
... Motivation: Testing SNP-SNP interactions is considered as a key for overcoming bottlenecks of ge- netic association studies. However, related statistical methods for testing SNP-SNP interactions are underdeveloped. ...
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A systematic empirical comparison of different approaches for normalizing citation impact indicators
... large-scale empirical analysis, we compare a normalization approach based on a field classification system with three source normalization ...normalization approach based on the ...
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An Empirical Approach to Text Categorization Based on Term Weight Learning
... The characteristic of our approach is that the degree of con- text dependency is used in order t.o judge whether a word in a text is a true keyword or not.. \Ve applied our technique to [r] ...
9
FDI Spatial Spillovers in China
... scope. Based on this stream of literature, we use employment of foreign firms as a proxy to capture FDI spillovers in the empirical ...Our empirical results seem to support this conjecture, the ...
26
Face Recognition under Pose Variations
... this approach are Active Appearance Model (AAM), active Shape Model (ASM) and Elastic Bunch Graph Model ...face model to match with the input image; feature vectors obtained from the ...
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