Temporal modeling
Temporal Modeling of Crimean-Congo Hemorrhagic Fever in Iran
... Methods. This study uses data from human samples with CCHF disease who were referred to the Arboviruses and Viral Hemorrhagic Fevers Laboratory of the Pasteur Institute of Iran (National Reference Laboratory). The ...
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Spatio-temporal modeling of particulate air pollution in the conterminous United States using geographic and meteorological predictors
... To avoid these limitations, more sophisticated methods to assess long-term air pollution exposures have been re- cently developed that provide location-specific (e.g., at a residence) information on exposure and that can ...
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StNet: Local and Global Spatial-Temporal Modeling for Action Recognition
... spatial-temporal modeling in ...spatial- temporal network (StNet) architecture for both local and global modeling in ...spatial- temporal structure, we apply temporal convolution ...
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Abstract Temporal modeling of facial expression is very
... Abstract— Temporal modeling of facial expression is very important in various fields which include expression recognition, realism in computer animation and behavioral study in psychological ...its ...
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Temporal Modeling of Link Characteristic in Mobile Ad hoc Network
... hoc network. This information can be utilized in other areas such as augmenting the perfor- mance of existing routing protocols to include QoS parameters. However, these issues are kept out of the purview of present ...
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Spatio temporal modeling in an agricultural watershed
... The objectives of this study were to: L model surface movement of agricultural pollutants for a succession of sub-watersheds in Bear Creek using AGNPS: 2 calibrate and validate the model[r] ...
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A dynamic appearance descriptor approach to facial actions temporal modeling
... One aspect of facial dynamics can be explicitly anal- ysed by detecting their constituent temporal segments (i.e., onset, apex and offset) or intensity levels (i.e., 0 to 5). Recently there were several works ...
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Modeling temporal aspects of sensor data for MongoDB NoSQL database
... Besides the data abundance and different formats, the rapid flow of data has also attracted the researchers to find mechanisms to manage the data in motion. Typically this is to consider that, how quickly the data is ...
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Surveillance of dengue vectors using spatio-temporal Bayesian modeling
... just temporal or spatial models. Spatio-temporal modeling has been prohibitive due the computational costs involved in MCMC based parameter ...and temporal autocorrelation structure of the ...
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Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting
... In this paper, we investigated the region-level ride-hailing demand forecasting problem and identified its unique spa- tiotemporal correlations. We proposed a novel deep learning based model which encoded the ...
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Spatio-temporal areal unit modeling in R with conditional autoregressive priors using the CARBayesST package
... spatio-temporal modeling advances we aim to increase the number of spatio-temporal models that can be implemented, providing the user with an even wider set of modeling ...
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Object-relational Features for Modeling and Analysis of Spatio-temporal Data
... or temporal data management ...Databases). Temporal systems are still somehow behind, with no generic products on the marketplace, just a few ad hoc systems or application-specific developments ...
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Spatial Temporal Survey and Occupancy Abundance Modeling To Predict Bacterial Community Dynamics in the Drinking Water Microbiome
... show temporal variability, which further indicates that the IAOM fit may be a characteristic of the DW system; the best-fit model and the fitting parameter may vary from system to ...
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A novel framework for community modeling and characterization in directed temporal networks
... The system is simulated for a time-window of duration T = 10 6 , obtaining approx- imately 1,500,000 temporal connections, the weighted adjacency matrix W of the inte- grated network is generated, and our ...
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Least-Square Prediction for Backward Adaptive Video Coding
... Figure 12 compares the MSE results between BMA and LSP for category-3 sequences. When video material con- tains nonrigid motion such as flowing river or moving body, we observe that forward MC and backward LSP achieve ...
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Modeling Topological Relationships between Fuzzy Spatio-Temporal Objects
... the modeling of spatio-tempo- ral ...of modeling topological relationships between spatio-tem- poral objects have been proposed such as an algebraic model [2], event-based method [10], and space-time ...
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Efficient Convolutional Neural Networks for Diacritic Restoration
... of Temporal Convolutional Neu- ral Networks (TCN) over Recurrent Neural Networks (RNN) for sequence modeling in terms of performance and computational re- ...
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Numerical Research of the Pollution Surface and Deep-Sea Evolution in the Sea of Azov Using Satellite Observation Data
... hydrodynamic modeling of the Sea of Azov is done for 2013–2014 on basis of the Princeton Ocean Model at presetting of real atmospheric impact (the SKIRON ...space modeling solutions and their ...
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Application of Empirical Orthogonal Function Models to Analyze Shoreline Change at Bangkalan Madura
... the temporal and spatial data linkage that may be generated as a linear combination of the corresponding function of time and ...in temporal and spatial data sets from shoreline change modeling by ...
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Spatio-temporal niche patterns and thermal environmental cues: Implications for the persisitence of Nicrophorine burying beetles
... Beninger and Peck 1992, Beninger 1994, Ohkawara et al. 1998, Nagano and Suzuki 2003, Mullins et al. 2013, Owings and Picard 2015). For example, while populations of N. sayi are active in the late spring, sympatric ...
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