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Energy Consumption in Compact Integer Vectors: A Study Case
(Institute of Electrical and Electronics Engineers, 2019-10-25)
[Abstract] In the field of algorithms and data structures analysis and design, most of the researchers focus only on the space/time trade-off, and little attention has been paid to energy consumption. Moreover, most of the ...
Efficient Processing of Raster and Vector Data
(Public Library of Science, 2020-01-10)
[Abstract] In this work, we propose a framework to store and manage spatial data, which includes new efficient algorithms to perform operations accepting as input a raster dataset and a vector dataset. More concretely, we ...
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, ...
Map algebra on raster datasets represented by compact data structures
(John Wiley and Sons, 2023-06)
[Abstract]: The increase in the size of data repositories has forced the design of new computing paradigms to be able to process large volumes of data in a reasonable amount of time. One of them is in-memory computing, ...
Fed-mRMR: A lossless federated feature selection method
(Elsevier, 2024-05)
[Abstract]: Feature selection has become a mandatory task in data mining, due to the overwhelming amount of features in Big Data problems. To handle this high-dimensional data and avoid the well-known curse of dimensionality, ...
Compressed Data Structures for Binary Relations in Practice
(Institute of Electrical and Electronics Engineers, 2020-01-31)
[Abstract] Binary relations are commonly used in Computer Science for modeling data. In addition to classical representations using matrices or lists, some compressed data structures have recently been proposed to represent ...
Automatic group-wise whole-brain short association fiber bundle labeling based on clustering and cortical surface information
(BioMed Central Ltd., 2020-06-03)
[Abstract]
Background
Diffusion MRI is the preferred non-invasive in vivo modality for the study of brain white matter connections. Tractography datasets contain 3D streamlines that can be analyzed to study the main ...
Take one for the team: on the time efficiency of application-level buffer-aided relaying in edge cloud communication
(Springer, 2021-03-12)
[Abstract]
Background
Adding buffers to networks is part of the fundamental advance in data communication. Since edge cloud computing is based on the heterogeneous collaboration network model in a federated environment, ...
From Coarse to Fine-Grained Parcellation of the Cortical Surface Using a Fiber-Bundle Atlas
(Frontiers Research Foundation, 2020-09-10)
[Abstract] In this article, we present a hybrid method to create fine-grained parcellations of the cortical surface, from a coarse-grained parcellation according to an anatomical atlas, based on cortico-cortical connectivity. ...
Building-Scale Wastewater-Based Epidemiology for SARS-CoV-2 Surveillance at Nursing Homes in A Coruña, Spain
(MDPI, 2023-11)
[Abstract] Wastewater-based epidemiology (WBE) has become an effective tool in the surveillance of
infectious diseases such as COVID-19. In this work, we performed a brief study of monitoring the
SARS-CoV-2 viral load ...