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Mostrando ítems 161-170 de 189
SeQual-Stream: approaching stream processing to quality control of NGS datasets
(BMC, 2023-10)
[Abstract]: Background
Quality control of DNA sequences is an important data preprocessing step in many genomic analyses. However, all existing parallel tools for this purpose are based on a batch processing model, ...
Reducing the overhead of an MPI application-level migration approach
(Elsevier BV * North-Holland, 2016)
[Abstract] Process migration provides many benefits for parallel environments including dynamic load balance, data access locality, or fault tolerance. This work proposes a solution that reduces the memory and I/O overhead ...
Exploratory Data Analysis and Data Envelopment Analysis of Urban Rail Transit
(MDPI AG, 2020-08-07)
[Abstract]
This paper deals with the efficiency and sustainability of urban rail transit (URT) using exploratory data analytics (EDA) and data envelopment analysis (DEA). The first stage of the proposed methodology is EDA ...
Towards cloud-based parallel metaheuristics: A case study in computational biology with Differential Evolution and Spark
(Sage Publications Ltd., 2016-11-28)
[Abstract]
Many key problems in science and engineering can be formulated and solved using global optimization techniques. In the particular case of computational biology, the development of dynamic (kinetic) models is ...
Evaluation of Existing Methods for High-Order Epistasis Detection
(Institute of Electrical and Electronics Engineers, 2020-10-15)
[Abstract]
Finding epistatic interactions among loci when expressing a phenotype is a widely employed strategy to understand the genetic architecture of complex traits in GWAS. The abundance of methods dedicated to the ...
Spark Implementation of the Enhanced Scatter Search Metaheuristic: Methodology and Assessment
(Elsevier BV, 2020-12)
[Abstract]
Optimization problems arise nowadays in all disciplines, not only in the scientific area but also in the field of engineering or economics, and in many others. Currently, challenging optimization problems require ...
Ensemble and continual federated learning for classification tasks
(Springer, 2023-09)
[Abstract]: Federated learning is the state-of-the-art paradigm for training a learning model collaboratively across multiple distributed devices while ensuring data privacy. Under this framework, different algorithms have ...
Land consolidation through parcel exchange among landowners using a distributed Spark-based genetic algorithm
(Springer, 2022-12)
[Abstract]: Land consolidation is an essential tool for public administrations to reduce the fragmentation of land ownership. In particular, parcel exchange shows promising potential for restructuring parcel holdings, even ...
Enhanced global optimization methods applied to complex fisheries stock assessment models
(Elsevier BV, 2019-04)
[Abstract]
Statistical fisheries models are frequently used by researchers and agencies to understand the behavior of marine ecosystems or to estimate the maximum acceptable catch of different species of commercial interest. ...
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 ...