Intelligent Technologies: Design and Applications for Society
Proceedings of CITIS 2022
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7 Result(s)
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Chapter and Conference Paper
Data Analysis Applied to Driver Profile Data Obtained Through Vehicle Telemetry and Classification Algorithms
In the present days, considering the enormous amount of unused data available, one of the most challenging tasks is extracting meaningful information from data obtained or stored; for the automotive industry, ...
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Chapter and Conference Paper
Urban Digital Twins for Synthetic Data of Individuals with Mobility Aids in Curitiba, Brazil, to Drive Highly Accurate AI Models for Inclusivity
This article delves into the significance of urban digital twins in generating synthetic data specifically tailored for individuals with disabilities. It explores how this data can be effectively utilized to c...
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Chapter and Conference Paper
A Proposal of a Fair Voting Ensemble Classifier Using Multi-objective Optimization
Current fair machine learning techniques attempt to maintain the trained pipeline accuracy while improving the fairness of its predictions through a myriad of mathematical definitions. Often, proposed methods ...
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Book and Conference Proceedings
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Article
Self-adaptive differential evolution applied to combustion engine calibration
In this paper, a new population-based stochastic optimization algorithm called Hybrid Self-Adaptive Differential Evolution (HSADE) is proposed. The algorithm addresses unconstrained global optimization problem...
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Chapter and Conference Paper
Design of Continuous Controllers Using a Multiobjective Differential Evolution Algorithm with Spherical Pruning
Controller design has evolved to a multiobjective task, i.e., today is necessary to take into account, besides any performance requirement, robustness requisites, frequency domain specifications and uncertain mod...
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Chapter and Conference Paper
An Adaptive Parameter Control for the Differential Evolution Algorithm
The Differential Evolution is a floating-point evolutionary algorithm that has demonstrated good performance on locating the global optima in a wide variety of problems and applications. It has mainly three tu...
