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Efficient high-precision integer multiplication on the GPU
(SAGE Journals, 2022-03)
[Abstract]: The multiplication of large integers, which has many applications in computer science, is an operation that can be expressed as a polynomial multiplication followed by a carry normalization. This work develops ...
Walking Recognition in Mobile Devices
(MDPI AG, 2020-02-21)
[Abstract] Presently, smartphones are used more and more for purposes that have nothing to do with phone calls or simple data transfers. One example is the recognition of human activity, which is relevant information for ...
Implementation of a motion estimation algorithm for Intel FPGAs using OpenCL
(Springer, 2023)
[Abstract]: Motion Estimation is one of the main tasks behind any video encoder. It is a computationally costly task; therefore, it is usually delegated to specific or reconfigurable hardware, such as FPGAs. Over the years, ...
SeQual: Big Data Tool to Perform Quality Control and Data Preprocessing of Large NGS Datasets
(Institute of Electrical and Electronics Engineers, 2020-08-07)
[Abstract]
This paper presents SeQual, a scalable tool to efficiently perform quality control of large genomic datasets. Our tool currently supports more than 30 different operations (e.g., filtering, trimming, formatting) ...
Exploratory Data Analysis and Data Envelopment Analysis of Construction and Demolition Waste Management in the European Economic Area
(M D P I AG, 2020-06-18)
[Abstract]
This paper deals with the efficiency and sustainability of Construction and Demolition Waste (CDW) management in 30 Member States of the European Economic Area (EEA) (the 28 European Union countries plus Norway ...
Toxo: A Library for Calculating Penetrance Tables of High-Order Epistasis Models
(BioMed Central Ltd., 2020-04-09)
[Abstract]
Background
Epistasis is defined as the interaction between different genes when expressing a specific phenotype. The most common way to characterize an epistatic relationship is using a penetrance table, which ...
Big Data Geospatial Processing for Massive Aerial LiDAR Datasets
(M D P I AG, 2020-02-21)
[Abstract] For years, Light Detection and Ranging (LiDAR) technology has been considered as a challenge when it comes to developing efficient software to handle the extremely large volumes of data this surveying method is ...
Big Data Geospatial Processing for Massive Aerial LiDAR Datasets
(MDPI AG, 2020-02-21)
[Abstract] For years, Light Detection and Ranging (LiDAR) technology has been considered as a challenge when it comes to developing efficient software to handle the extremely large volumes of data this surveying method is ...
An Application of Fish Detection Based on Eye Search with Artificial Vision and Artificial Neural Networks
(MDPI AG, 2020-10-27)
[Abstract]
A fish can be detected by means of artificial vision techniques, without human intervention or handling the fish. This work presents an application for detecting moving fish in water by artificial vision based ...
ScalaParBiBit: Scaling the Binary Biclustering in Distributed-Memory Systems
(SpringerLink, 2021-03-19)
[Abstract] Biclustering is a data mining technique that allows us to find groups of rows and columns that are highly correlated in a 2D dataset. Although there exist several software applications to perform biclustering, ...