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Continuous usage of e-participation: The role of the sense of virtual community
Elsevier (2019-07)Local governments around the world are increasingly implementing e-participation platforms to involve citizens in consultation and decision-making processes. E-participation platforms usually succeed and produce positive ... -
Contribution to the Improvement of the Correlation Filter Method for Modal Analysis with a Spatial Light Modulator
MDPI (2022)Modal decomposition of light is essential to study its propagation properties in waveguides and photonic devices. Modal analysis can be carried out by implementing a computer-generated hologram acting as a match filter ... -
Contributions to the Bohr topology by W.W. Comfort
Elsevier (2019)The important rôle that W. W. Comfort played in the study of the Bohr topology is described. -
Controlled Multibeam Supercontinuum Generation With a Spatial Light Modulator
IEEE (2014)We report on deterministic femtosecond multifilamentation in fused silica by encoding a diffractive microlens array into a spatial light modulator. The efficiency and focal length of each microlens are modified through ... -
Counterbalance between Surface and Confinement Effects As Studied for Amino-Terminated Poly(propylene glycol) Constraint in Silica Nanopores
American Chemical Society (2019)Broadband dielectric spectroscopy (BDS) and orthopositronium annihilation lifetime spectroscopy (PALS) are combined to study the molecular dynamics and the free volume of poly(propylene glycol) terminated with amino end ... -
Covariance functions for multivariate Gaussian fields evolving temporally over planet earth
Springer-Verlag GmbH Germany, part of Springer Nature (2019-07-18)The construction of valid and flexible cross-covariance functions is a fundamental task for modeling multivariate space– time data arising from, e.g., climatological and oceanographical phenomena. Indeed, a suitable ... -
Creating a conceptual framework to improve the re‐usability of open geographic data in cities
Wiley (2018)Open data has a profound effect on the working environment within which information is created and shared at all levels. At the local government level, open data initiatives have resulted in higher transparency in policy, ... -
Creating a treadmill running video game with smartwatch interaction
Springer (2023)In recent years, indoor or at-home sports have experienced signifcant growth. However, monotony is a common challenge in these static physical activities. Exergames, a genre of video games that combines physical activity ... -
Curvature approximation from parabolic sectors
International Society for Stereology (2017)We propose an invariant three-point curvature approximation for plane curves based on the arc of a parabolic sector, and we analyze how closely this approximation is to the true curvature of the curve. We compare our results ... -
D2D-based Cooperative Positioning Paradigm for Future Wireless Systems: A Survey
Institute of Electrical and Electronics Engineers (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 ... -
DAT-CNN: Dual Attention Temporal CNN for Time-Resolving Sentinel-3 Vegetation Indices
IEEE (2022-03-22)The synergies between Sentinel-3 (S3) and the forthcoming fluorescence explorer (FLEX) mission bring us the opportunity of using S3 vegetation indices (VI) as proxies of the solar-induced chlorophyll fluorescence (SIF) ... -
Data on CO2, temperature and air humidity records in Spanish classrooms during the reopening of schools in the COVID-19 pandemic
Elsevier (2021-10-17)In order to reduce the advance of the pandemic produced by COVID-19, many actions and restrictions have been applied and the field of education has been no exception. In Spain, during the academic year 2020–2021, face-to-face ... -
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 ... -
Dataset of inertial measurements of smartphones and smartwatches for human activity recognition
Elsevier (2023-11-17)This article describes a dataset for human activity recognition with inertial measurements, i.e., accelerometer and gyroscope, from a smartphone and a smartwatch placed in the left pocket and on the left wrist, respectively. ... -
DBIG-US: A two-stage under-sampling algorithm to face the class imbalance problem
Elsevier (2020-11-12)The class imbalance problem occurs when one class far outnumbers the other classes, causing most traditional classifiers perform poorly on the minority classes. To tackle this problem, a plethora of techniques have been ... -
Deep Hashing Based on Class-Discriminated Neighborhood Embedding
Institute of Electrical and Electronics Engineers (2020-09-30)Deep-hashing methods have drawn significant attention during the past years in the field of remote sensing (RS) owing to their prominent capabilities for capturing the semantics from complex RS scenes and generating the ... -
Deep Learning-Based Building Footprint Extraction With Missing Annotations
Institute of Electrical and Electronics Engineers (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 ... -
Deep Metric Learning Based on Scalable Neighborhood Components for Remote Sensing Scene Characterization
Institute of Electrical and Electronics Engineers (2020-05-12)With the development of convolutional neural networks (CNNs), the semantic understanding of remote sensing (RS) scenes has been significantly improved based on their prominent feature encoding capabilities. While many ... -
Deep Pyramidal Residual Networks for Spectral-Spatial Hyperspectral Image Classification
IEEE (2018-08)Convolutional neural networks (CNNs) exhibit good performance in image processing tasks, pointing themselves as the current state-of-the-art of deep learning methods. However, the intrinsic complexity of remotely sensed ... -
Deep transfer learning for the recognition of types of face masks as a core measure to prevent the transmission of COVID-19
Elsevier (2022-08)The use of face masks in public places has emerged as one of the most effective non-pharmaceutical measures to lower the spread of COVID-19 infection. This has led to the development of several detection systems for ...