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Modeling the Number of People Infected With SARS-COV-2 From Wastewater Viral Load in Northwest Spain
(Elsevier, 2022)
[Abstract] The quantification of the SARS-CoV-2 RNA load in wastewater has emerged as a useful tool to monitor COVID–19 outbreaks in the community. This approach was implemented in the metropolitan area of A Coruña (NW ...
New machine learning approaches for real-life human activity recognition using smartphone sensor-based data
(Elsevier B.V., 2023)
[Abstract]: In recent years, mainly due to the application of smartphones in this area, research in human activity recognition (HAR) has shown a continuous and steady growth. Thanks to its wide range of sensors, its size, ...
Scalable processing and autocovariance computation of big functional data
(John Wiley & Sons, 2018)
[Abstract]: This paper presents 2 main contributions. The first is a compact representation of huge sets of functional data or trajectories of continuous-time stochastic processes, which allows keeping the data always ...
Combining Multiple Granularity Variability in a Software Product Line Approach for Web Engineering
(Elsevier, 2022)
[Abstract] Context: Web engineering involves managing a high diversity of artifacts implemented in different languages and with different levels of granularity. Technological companies usually implement variable artifacts ...
Graph Compression for Adjacency-Matrix Multiplication
(Springer, 2022)
[Abstract] Computing the product of the (binary) adjacency matrix of a large graph with a real-valued vector is an important operation that lies at the heart of various graph analysis tasks, such as computing PageRank. In ...
Compact and indexed representation for LiDAR point clouds
(Taylor & Francis, 2022)
[Abstract]: LiDAR devices are capable of acquiring clouds of 3D points reflecting any object around them, and adding additional attributes to each point such as color, position, time, etc. LiDAR datasets are usually large, ...
Space/time-efficient RDF stores based on circular suffix sorting
(Springer Nature, 2023-03)
[Abstract]: The resource description framework (RDF) has gained popularity as a format for the standardized publication and exchange of information in the Web of Data. In this paper, we introduce RDFCSA, a compressed ...
Compressed and queryable self-indexes for RDF archives
(Springer Nature, 2023-08)
[Abstract]: RDF compression and querying are consolidated topics in the Web of Data, with a plethora of solutions to efficiently store and query static datasets. However, as RDF data changes along time, it becomes necessary ...
Extending general compact querieable representations to GIS applications
(Elsevier, 2020-01)
[Abstract]: The raster model is commonly used for the representation of images in many domains, and is especially useful in Geographic Information Systems (GIS) to store information about continuous variables of the space ...
Optimization in Sanger sequencing
(Elsevier, 2019-09)
[Abstract]: The main objective of this paper is to solve the optimization problem that is associated with the classification of DNA samples in PCR plates for Sanger sequencing. To achieve this goal, we design an integer ...