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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 ...
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 ...
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. ...
Exploiting Computation-Friendly Graph Compression Methods for Adjacency-Matrix Multiplication
(IEEE Computer Society, 2018-03)
[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 ...
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, ...
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 ...
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, ...