Non Linear Generalized Model
Assessing fragility of a reinforced concrete element to snow avalanches using a non linear dynamic mass spring model
... SDOF model is thus able to describe the occurrence of potential additional resisting forces (structural inertia), which are governed by the pres- sure time ...be generalized, further research is needed to ...
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TítuloA generalized linear model for cardiovascular complications prediction in PD patients
... patient non-invasive information for cardiovascular complications prediction in peritoneal dialysis ...a Generalized Linear Model, which achieved AUC values above 96% using a small subset of ...
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TítuloPrediction of high anti angiogenic activity peptides in silico using a generalized linear model and feature selection
... than non-parametric tests but, unfortunately, can be used only under certain ...a non-parametric Friedman test with the Iman-Davenport extension assuming the null hypothesis that all models have the same ...
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Data analysis based on SISSREM: Shiny Interactive, Supervised and Systematic report from REpeated Measures data
... A linear mixed model (LMM), also known as mixed-effect models, is a parametric linear model for clustered ...for non-independence among data points ...that non-LMMs [10] and ...
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Active dictionary models: A framework for non linear shape modeling
... representing non-linear interferences as signal ...ADM-DM model may output invalid shapes at the initial ...the model outputs a valid shape at any ...
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NON-LINEAR ACOUSTICS OF RIGID- POROUS MATERIALS
... Forchheimer’s non-linearity dominates, equations (1) together with boundary conditions on the rigid surface can be simplified to give a single equation for the velocity v − (t ) of the pulse reflected from the ...
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Development of non linear and autonomous NPC
... Now let’s talk a little about the conclusions of this project. In general terms, the objectives have been accomplished, a non linear AI has been achieved, which do not seems to do the same all the time or ...
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Jackknife technique and linear model estimators
... TÉCNICA DE JACKKNIFE Y ESTIMADORES EN UN MODELO LINEAL Jackknife Technique and Linear Model Estimators RESUMEN En este artículo estudiamos los efectos que tiene el utilizar esta técnica [r] ...
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Understanding litter decomposition in semiarid ecosystems: linking leaf traits, UV exposure and rainfall variability
... These findings are consistent with a model of litter decom- position in arid environments where different leaf traits have strong effects on soil organic matter turnover (Cornwell et al., 2008) and where ...
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Stability analysis and design of negative impedance converters: application to circuit and small antennas
... The prototype presented here works up to 200 MHz due to the fact that as a rule of thumb NICs only work up to a frequency ten times smaller than the transient frequency of the transistors [30]. The transistor employed ...
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Ghost Dark Energy Model with Non linear Interaction
... energy model taking into account a non-linear interaction between the dark energy and dark matter components (see equation ...the model unstable under small perturbations (see Figure ...the ...
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Forecasting the spot prices of various coffee types using linear and non-linear error correction models
... that non-linear error correction models offer very weak evidence of improved forecasting performance relative to the random walk ...using non-linear models in empirical ...that ...
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Recent advances in seismic microzonation studies in Colombia: The Manizales city case
... two-dimensional model is resolved by using QUAD-4M computer program [6, ...the model developed and results regarding maximum superficial acceleration for different locations in the modeled slope ...
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EFFICIENT NUMERICAL MODELING OF VOCAL FOLD MECHANICS
... glottal model with vocal tract loads, in order to discuss applications of the proposed glottal model in articulatory speech ...one-delayed-mass model with a digital waveguide bore model, show ...
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Classification of normal and pre-ictal EEG signals using permutation entropies and a generalized linear model as a classifier
... Abstract: In this contribution, a comparison between different permutation entropies as classifiers of electroencephalogram (EEG) records corresponding to normal and pre-ictal states is made. A discrete probability ...
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Quantum and non-linear optics with semiconductor nanostructures
... polarized one (open circles). This intensity difference gives rise to a non-vanishing polarization of the emission, whose time evolution is depicted in Figs. 2(c&d). The behaviour is quite different for ...
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Low energy non linear excitations in sphere packings
... We study theoretically and numerically how hard frictionless particles in random packings can rearrange. We demonstrate the existence of two distinct unstable non-linear modes of rearrange- ment, both ...
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LOS MODELOS LINEALES GENERALIZADOS MIXTOS. SU APLICACIÓN EN EL MEJORAMIENTO DE PLANTAS
... (GLM, Generalized Linear Models ), y aportan variaciones al modelo lineal tradicional (LM, Linear Model), permitiéndole al mismo ser aplicado a un rango más amplio de ...
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Optimal non linear models
... such as the space of band-limited functions also known as the Paley-Wiener space. This new paradigm is general and includes (when M = V ) the classical Shannon sampling theory and its extensions [6], as well as sampling ...
9
Domain walls in a non linear S2 sigma model with homogeneous quartic polynomial potential
... this model is tantamount to the search for finite action trajectories in a Neumann type mechanical system [63], which is completely integrable [64, ...are non-linear combinations of these two single ...
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