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Joint second-order parameter estimation for spatio-temporal log-Gaussian Cox processes
(Springer, 2018)
We propose a new fitting method to estimate the set of second-order parameters for the class of homogeneous spatio-temporal log-Gaussian Cox point processes. With simulations, we show that the proposed minimum contrast ...
Multiple scattering theory of non-Hermitian sonic second-order topological insulators
(2019-10-25)
Topological phases of sound enable unconventional confinement of acoustic energy at the corners in higher-order topological insulators. These unique states which go beyond the conventional bulk-boundary correspondence have ...
Trivariate non‐Gaussian copulas to analyze the spatial behavior of rat sightings
(Wiley, 2018)
The brown rat lives with man in a wide variety of environmental contexts and adversely affects public health by transmission of diseases, bites, and allergies. Understanding behavioral and spatial correlation aspects of ...
A Meta-Review of Indoor Positioning Systems
(MDPI, 2019)
An accurate and reliable Indoor Positioning System (IPS) applicable to most indoor scenarios has been sought for many years. The number of technologies, techniques, and approaches in general used in IPS proposals is ...
Spatio-temporal prediction of Baltimore crime events using CLSTM neural networks
(IEEE, 2020-11-09)
Crime activity in many cities worldwide causes significant damages to the lives of victims and their surrounding communities. It is a public disorder problem, and big cities experience large amounts of
crime events. ...
A comprehensive IoT node proposal using open hardware. A smart farming use case to monitor vineyards.
(MDPI, 2018)
The last decade has witnessed a significant reduction in prices and an increased performance
of electronic components, coupled with the influence of the shift towards the generation of
open resources, both in terms of ...
Air Quality Prediction in Smart Cities Using Machine Learning Technologies Based on Sensor Data: A Review
(MDPI, 2020-04-01)
The influence of machine learning technologies is rapidly increasing and penetrating almost in every field, and air pollution prediction is not being excluded from those fields. This paper covers the revision of the studies ...
A lower bound for the area of Plateau foams
(Springer, 2020-04-07)
Real foams can be viewed as geometrically well-organized dispersions of more or less spherical bubbles in a liquid. When the foam is so drained that the liquid content significantly decreases, the bubbles become polyhedral-like ...
Data on records of environmental phenomena using low-cost sensors in vineyard smallholdings
(Elsevier, 2020-12)
Inadequate weather conditions are one of the main threats to the correct development of sensitive crops, where a bad situation can lead to greater stress on plants and their weakness against various diseases. This statement ...
On a Linear Functional Mixed Effect Model for Spatial Data
(Iranian Statistical Society, 2019-08-29)
This paper introduces a functional mixed effect random model to model spatial data. In this model, the spatial locations form the index set, while the contributing
effects to the response variable are set as a linear ...