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B-Spline Method for Spatio-Temporal Inverse Model
Inverse models can be used to estimate surface fluxes in terms of the observed atmospheric concentration measurement data. This paper proposes a new...
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On Spatio-Temporal Model with Diverging Number of Thresholds and its Applications in Housing Market
Spatio-temporal data analysis is an emerging research area due to the development and application of novel computational techniques allowing for the...
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Dynamical analysis of a spatio-temporal model encompassing the avian flu transmission in human population
Unidentified diseases are becoming more prevalent among humans due to various climatic factors, and some of these diseases originate in animals...
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Tensor Train Factorization with Spatio-temporal Smoothness for Streaming Low-rank Tensor Completion
Estimating the missing data from an incomplete measurement or observation plays an important role in the area of big data analytic, especially for...
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Tensor Factorization-Based Method for Tensor Completion with Spatio-temporal Characterization
In this paper, we propose a novel tensor factorization-based method for the third-order tensor completion problem with spatio-temporal...
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Supervised Low-Rank Semi-nonnegative Matrix Factorization with Frequency Regularization for Forecasting Spatio-temporal Data
We propose a novel methodology for forecasting spatio-temporal data using supervised semi-nonnegative matrix factorization (SSNMF) with frequency...
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Traveling Waves in a SIRH Model with Spatio-Temporal Delay and Nonlocal Dispersal
This paper deals mainly with the existence and asymptotic behavior of traveling waves in a SIRH model with spatio-temporal delay and nonlocal...
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Evolution of Cooperation in Spatio-Temporal Evolutionary Games with Public Goods Feedback
In biology, evolutionary game-theoretical models often arise in which players’ strategies impact the state of the environment, driving feedback...
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Spatio-Temporal Modelling of Dengue Fever Patterns in Peninsular Malaysia from 2015–2017
Spatio-temporal disease map** models can be used to describe the geographical pattern of disease incidence across space and time. This paper...
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Learning Biological Dynamics From Spatio-Temporal Data by Gaussian Processes
Model discovery methods offer a promising way to understand biology from data. We propose a method to learn biological dynamics from spatio-temporal...
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Global dynamics of a time-fractional spatio-temporal SIR model with a generalized incidence rate
This paper delves into the study of a diffusive SIR epidemic model characterized by reaction–diffusion equations enriched with a fractional...
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Data Assimilation Predictive GAN (DA-PredGAN) Applied to a Spatio-Temporal Compartmental Model in Epidemiology
We propose a novel use of generative adversarial networks (GANs) (i) to make predictions in time (PredGAN) and (ii) to assimilate measurements...
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Spatio-Temporal SIR Model with Robin Boundary Condition and Automatic Lockdown Policy
This paper presents the SIR space-time model, which is a coupled reaction–diffusion system with nonlinear Robin boundary conditions. These boundary...
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Spatio-Temporal Steady-State Analysis in a Prey-Predator Model with Saturated Hunting Cooperation and Chemotaxis
In this paper, we propose a diffusive prey-predator model with saturated hunting cooperation and predator-taxis. We first establish the global...
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A Bayesian Joint Spatio-temporal Model for Multiple Mosquito-Borne Diseases
Pavani, Jessica Moraga, PaulaMany infectious diseases studied in the epidemiological context are caused by insects, mainly mosquitoes. These...
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Diffusion-induced Spatio-temporal Oscillations in an Epidemic Model with Two Delays
We investigate a diffusive, stage-structured epidemic model with the maturation delay and freely-moving delay. Choosing delays and diffusive rates as...
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Sparse Decomposition Methods for Spatio-Temporal Anomaly Detection
Anomaly detection constitutes a critical field of research, concerned with the identification of rare, atypical, or unexpected patterns within a...
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A Barzilai–Borwein Gradient Algorithm for Spatio-Temporal Internet Traffic Data Completion via Tensor Triple Decomposition
With the coming of high-speed network and 5G era, internet traffic data is crucial for various network tasks such as traffic engineering, capacity...
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The Spatio-Temporal Study of a Planktonic System Having Toxin Producing and Infected Phytoplankton Species
This paper deals with the spatially homogeneous and inhomogeneous planktonic system with toxin-producing and infectious phytoplankton species. For...
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Control of the Search for Observation Objects from a Spatio-Temporal Poisson Flow in a Multi-Channel Search System
AbstractThe article considers the problem of searching for objects of observation for the case, when the sequence of their appearance satisfies the...
