Buscar
Local inhomogeneous second-order characteristics for spatio-temporal point processes occurring on linear networks
(Springer, 2022)
Point processes on linear networks are increasingly being considered to analyse events occurring on particular network-based structures. In this paper, we extend Local Indicators of Spatio-Temporal Association (LISTA) ...
D2D-based Cooperative Positioning Paradigm for Future Wireless Systems: A Survey
(Institute of Electrical and Electronics EngineersIEEE, 2021-07-21)
Emerging communication network applications require a location accuracy of less than 1m in more than 95% of the service area. For this purpose, 5G New Radio (NR) technology is designed to facilitate high-accuracy continuous ...
Head and eye egocentric gesture recognition for human-robot interaction using eyewear cameras
(IEEE, 2022-06-08)
Non-verbal communication plays a particularly important role in a wide range of scenarios in Human-Robot Interaction (HRI). Accordingly, this work addresses the problem of human gesture recognition. In particular, we focus ...
Comparison of Nitrogen Dioxide Predictions During a Pandemic and Non-pandemic Scenario in the City of Madrid using a Convolutional LSTM Network
(World Scientific, 2022-06-22)
Traditionally, machine learning technologies with the methods and capabilities available, combined with a geospatial dimension, can perform predictive analyzes of air quality with greater accuracy. However, air pollution ...
High photocatalytic activity of Ag/Ag3PO4:W heterostructure formed by femtosecond laser irradiation
(Sao Paulo State University. Institute of Chemistry, 2022-04-11)
In this work, the W-doped Ag3PO4 was prepared by the chemical coprecipitation method and irradiated with a femtosecond laser (FL). The successful formation of the Ag/Ag3PO4:W heterostructure was confirmed by XRD analysis. ...
Dual electro-optic comb spectroscopy using a single pseudo-randomly driven modulator
(Optica Publishing Group, 2022-07-04)
We present a dual-comb scheme based on a single intensity modulator driven by inexpensive board-level pseudo-random bit sequence generators. The result is a simplified architecture that exhibits a long mutual coherence ...
Rotation-Invariant Deep Embedding for Remote Sensing Images
(Institute of Electrical and Electronics EngineersIEEE, 2021-06-28)
Endowing convolutional neural networks (CNNs) with the rotation-invariant capability is important for characterizing the semantic contents of remote sensing (RS) images since they do not have typical orientations. Most of ...
Deep Learning-Based Building Footprint Extraction With Missing Annotations
(Institute of Electrical and Electronics EngineersIEEE, 2021-04-21)
Most state-of-the-art deep learning-based methods for extraction of building footprints are aimed at designing proper convolutional neural network (CNN) architectures or loss functions able to effectively predict building ...
Spatial Cox processes in an infinite-dimensional framework
(Sociedad de Estadística e Investigación Operativa (Spanish Society of Statistics and Operations Research)Springer, 2021-04-29)
We introduce a new class of spatial Cox processes driven by a Hilbert-valued randomlog-intensity. We adopt a parametric framework in the spectral domain, to estimateits spatial functional correlation structure. Specifically, ...
Client’s Experiences Using a Location-Based Technology ICT System during Gambling Treatments’ Crucial Components: A Qualitative Study
(MDPI, 2022-03-22)
Cognitive Behavioral Therapy is the treatment of choice for Gambling Disorder (GD), with
stimulus control (SC) and exposure with response prevention (ERP) being its two core components.
Despite their efficacy, SC and ERP ...