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Parallel algorithm for reduction of data processing time in big data
(Journal of Physics: Conference Series, 2020)
Technological advances have allowed to collect and store large volumes of data over the years. Besides, it is significant that today's applications have high performance and can analyze these large datasets effectively. ...
Neural networks for tea leaf classification
(Journal of Physics: Conference Series, 2020)
The process of classification of the raw material, is one of the most important procedures in any tea dryer, being responsible for ensuring a good quality of the final product. Currently, this process in most tea processing ...
Retraction: time series decomposition using automatic learning techniques for predictive models
(Corporación Universidad de la Costa, 2020)
This article, and others within this volume, has been retracted by IOP Publishing following clear evidence of plagiarism and citation manipulation. This work was originally published in Spanish (1) and has been translated ...
Big data and automatic detection of topics: social network texts
(Journal of Physics: Conference Series, 2020)
This paper proposes the analysis of the influence of terms that express feelings in the automatic detection of topics in social networks. This proposal uses an ontology-based methodology which incorporates the ability to ...
Time series decomposition using automatic learning techniques for predictive models
(Journal of Physics: Conference Series, 2020)
This paper proposes an innovative way to address real cases of production prediction. This approach consists in the decomposition of original time series into time sub-series according to a group of factors in order to ...