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Abstract This systematic review explores the social aspects of cleaner production adoption in the Global North and South, addressing the critical gap in understanding how socio-cultural, governance, and behavioural facto...

Abstract Background Silicosis is an irreversible scarring lung disease caused by occupational respirable crystalline silica (RCS) dust exposure. Mineral (noncoal) miners who extract metal, nonmetal, stone, and sand/grave...

Automatic valet parking using learning function is proposed in this study. The number plate (vehicle registration plate or license plate) of each vehicle is read using a camera when entering and leaving the parking lot. ...

Mining frequent patterns in transaction databases, time-series databases, and many other kinds of databases has been studied popularly in data mining research. Most of the previous studies adopt an Apriori-like candidate...

This study investigates an approach of knowledge discovery and data mining in insufficient databases. An application of Computational Taxonomy analysis demonstrates that the approach is effective in such a data mining pr...

In this paper, a new memetic strategy that integrates a multi-objective evolutionary algorithm (the SPEA2) with a local search technique for data mining is presented. The algorithm explores a Term Frequency-Inverse Docum...

This study investigates an approach of knowledge discovery and data mining in insufficient databases. An application of Computational Taxonomy analysis demonstrates that the approach is effective in such a data mining pr...

SUMMARY: We present here Blast2GO (B2G), a research tool designed with the main purpose of enabling Gene Ontology (GO) based data mining on sequence data for which no GO annotation is yet available. B2G joints in one app...

"La disponibilidad de fuentes de información ha crecido principalmente gracias al desarrollo tecnológico para el manejo y tratamiento de la misma, contribuyendo a que ésta se produzca en mayor cantidad, con mejor cali...

La búsqueda por similitud consiste en recuperar todos aquellos objetos dentro de una base de datos que sean parecidos o relevantes a una determinada consulta. Este concepto tiene una amplia gama de aplicaciones en área...

The primary goal of pattern recognition is supervised or unsupervised classification. Among the various frameworks in which pattern recognition has been traditionally formulated, the statistical approach has been most in...

Subjects / keywords: data search and mining, big data integrity and privacy, artificial intelligence, cognitive modeling, data storage, robots and control systems; Technology

A proposal to use data mining techniques to analyze e-mails corresponding to courses carried out through a distance education plat- form is made. The purpose of this type of analyses is determining which are the groups o...

Several algorithms have been described in the literature for protein identification by searching a sequence database using mass spectrometry data. In some approaches, the experimental data are peptide molecular weights f...

En este artículo, desarrollamos y evaluamos tres algoritmos probabilísticos sobre el comportamiento de acceso de usuarios que son apropiados para modelar la tasa de acceso a un sitio de Internet que contiene documentos...

Abstract This study presents a Quantum-Enhanced Firefly Algorithm (QFA)-based multi-level image annotation framework that integrates advanced Otsu thresholding, region-based feature extraction, and Bayesian multi-label c...

In recent years a couple of methods aimed at time series symbolic representation have been introduced or developed. This activity is mainly justified by practical considerations such memory savings or fast data base sear...

MOTIVATION: Biological sequence data is accumulating rapidly, motivating the development of improved high-throughput methods for sequence classification. RESULTS: UBLAST and USEARCH are new algorithms enabling sensitive ...

Manipulating and retrieving multimedia data has received increasing attention with the advent of cloud storage facilities. The ability of querying by similarity over large data collections is mandatory to improve storage...

A critical component in the interpretation of systems-level studies is the inference of enriched biological pathways and protein complexes contained within OMICs datasets. Successful analysis requires the integration of ...

Subjects / keywords: Bottleneck; Metagenomics; Computer science; Diamond; Sensitivity (control systems); Software; Search engine indexing; Speedup; Computational biology; Data mining; Bioinformatics; Parallel computing

Este trabajo tiene el objetivo de sumar una propuesta para la detección de casos atípicos. Es decir, detectar datos pertenecientes a una muestra que posean valores extremos que los diferencia del resto y permitan al i...

The program Mercury , developed by the Cambridge Crystallographic Data Centre, is designed primarily as a crystal structure visualization tool. A new module of functionality has been produced, called the Materials Module...

BACKGROUND: Sequence similarity searching is a very important bioinformatics task. While Basic Local Alignment Search Tool (BLAST) outperforms exact methods through its use of heuristics, the speed of the current BLAST s...