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Review: machine learning techniques applied to cybersecurity
Machine learning techniques are a set of mathematical models to solve high non-linearity problems of different topics: prediction, classification, data association, data conceptualization. In this work, the authors review ...
Un Análisis de Sentimiento en Twitter con Machine Learning: Identificando el sentimiento sobre las ofertas de #BlackFriday
Twitter se ha convertido en una red social ideal para el análisis de audiencias y el estudio de opiniones sobre eventos y acontecimientos en tiempo real alrededor del mundo. El objetivo de esta investigación es el de ...
Meta-heuristic multi- and many-objective optimization techniques for solution of machine learning problems
(Wiley-Blackwell, 2017-12-01)
Recently, multi- and many-objective meta-heuristic algorithms have received considerable attention due to their capability to solve optimization problems that require more than one fitness function. This paper presents a ...
An Empirical Evaluation of Machine Learning Techniques for Crop Prediction
Agriculture is the primary source driving the economic growth of every country worldwide. Crop prediction, which is critical to agriculture, depends on the soil and environment. Nutrient levels differ from area to area and ...
Diseño e implementación de un prototipo clasificador de granos de cacao usando Visión Artificial y Machine Learning
(2021)
The objective of this degree project is to design and implement a cocoa classifier prototype using Artificial Vision and Machine Learning using open sources resources and technologies.
The initial step was to train a ...
Supporting academic decision making at higher educational institutions using machine learning-based algorithms
Decisions made by deans and university managers greatly impact the entire academic community as well as society as a whole. In this paper, we present survey results on which academic decisions they concern and the variables ...
Predicting EHL film thickness parameters by machine learning approaches
(2022)
Non-dimensional similarity groups and analytically solvable proximity equations can be used to estimate integral fluid film parameters of elastohydrodynamically lubricated (EHL) contacts. In this contribution, we demonstrate ...