Spatio-Temporal Models
Spatio temporal models of synthetic genetic oscillators
... Abstract. Signal transduction pathways play a major role in many important aspects of cellular function e.g. cell division, apoptosis. One important class of signal transduction pathways is gene regulatory networks ...
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Predictive spatio-temporal models for spatially sparse environmental data
... apply the model building strategy desribed in the previous setion, where the station ordering. (3) is dened by onsidering asending distanes, see Figure 3[r] ...
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The association of long-term exposure to PM2.5 on all-cause mortality in the Nurses’ Health Study and the impact of measurement-error correction
... from spatio-temporal ...and spatio-temporal predictions, which we believe is likely to be true, the measurement error-corrected results will give valid point estimates and confidence intervals ...
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Survey on Spatio-Temporal Database and Data Models with relevant Features
... Spatio-temporal database modeling on earlier stages attempted to capture the state of real world objects or the physical events upon them ,on the time ...and models to capture them were proposed ...
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Asymptotic Dependence Modeling for Spatio-temporal Max-stable Processes
... The results of the study provides important characterizations of parametric max-stable processes. Especially they show that stochasctic dependence is also the property of the spatial and temporal coordonates of ...
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WIRELESS NETWORK TRAFFIC CONTROL USING NEURAL NETWORKSIN WAVELET DOMAIN
... In this paper we implemented a technique that combines the wavelet analysis with the ANN model. The main challenge was to verify that using the ANNs in WT domain allow us to obtain better results. The forecasting ...
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The perception of motion
... A model that takes account of attention has recently been published by Lu and Sperling (1995). It incorporates cognitive and attentional processes in the model and it accounts for the data in the paper. However, the ...
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Identification of partial differential equation models for continuous spatio-temporal dynamical systems
... This is a repository copy of Identification of partial differential equation models for continuous spatio-temporal dynamical systems.. White Rose Research Online URL for this paper: http[r] ...
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Spatio temporal malaria transmission patterns in Navrongo demographic surveillance site, northern Ghana
... Bayesian geostatistical formulations of the above models were fitted to take into account spatio-temporal correlation. In each model, compound-specific random effects were included. They were assumed ...
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A spatial and temporal analysis of Australian climate fields
... sophisticated temporal analysis capabilities and to efficiently answer specific types of time based queries, it is necessary to utilise a type of representation which is specifically suited to that type of ...The ...
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Accounting for covariate information in the scale component of spatio temporal mixing models
... other models are not able to accommodate the larger uncertainty for some extreme observations which presented larger temperature ...proposed models led to similar predictive ...
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THE USE OF SPATIO-TEMPORAL CONNECTIONIST MODELS IN PSYCHOLOGICAL STUDIES OF MUSICAL EMOTIONS
... previous models Schubert, ...nonlinear models, enlarge the complexity of the relationships between music structure and emotional response observed since they can operate in higher dimensional spaces (not ...
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On the spatio temporal analysis of hydrological droughts from global hydrological models
... methods to deal with zero flows. Smoothing of the hydro- graph by applying a k-day moving average (Fleig et al., 2006; Wong et al., 2011) and implementing multiple threshold are commonly considered for the ...
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Deep Liquid State Machines with Neural Plasticity and On-Device Learning
... There are three interesting questions that come to mind about the proposed Unsu- pervised deep-LSM model. The first two questions are related to the architecture of the deep-LSM: i) how does increasing the number of ...
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Spatio-temporal modelling of biomass
... To successfully model the spatial and temporal heterogeneity of catchment processes, topographic, climatic, remotely sensed, modelled growth indices and ground biomass data will be inves[r] ...
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Spatio temporal assessment of annual water balance models for upper Ganga Basin
... balance models to Himalayan catchments, the present work attempts to compute and analyze water yield in the upper Ganga Basin using a semi-distributed InVEST model and a Lumped Zhang ...yield models and the ...
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Identification of coupled MAP lattice models for spatio-temporal patterns using wavelets
... Takedown If you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing eprints@whiterose.ac.uk including the URL of the record and the rea[r] ...
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Numerical modelling of spatio-temporal thermal heterogeneity in a complex river system
... and river hydrodynamic and heat transport models to understand spatio-temporal water column thermal.. The thermal dynamics identified herein could not have been observed with air - water[r] ...
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Spatio temporal Texture Modelling for Real time Crowd Anomaly Detection
... event models for semantic interpretation, a normality crowd model in this research can be learnt and self-updated by abstracting the visual features along its ...
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Spatio-temporal sequential pattern mining for tourism sciences
... Data mining is the extraction of interesting, previously unknown knowledge from potentially large and noisy datasets. We reason that data mining could be especially valuable to the field of tourism science where abundant ...
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