Intelligent Technologies: Design and Applications for Society
Proceedings of CITIS 2022
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31 Result(s)
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Gilberto Reynoso-Meza
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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 Multicriteria Framework Proposition for Project Management Approaches
One of the primary challenges in project management is to establish an effective methodology that can lead to both successful planning and stakeholder satisfaction. This is a critical decision that needs to be...
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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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Chapter and Conference Paper
Correction to: Data Science Applied to Vehicle Telemetry Data to Identify Driving Behavior Profiles
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Chapter and Conference Paper
Classification of Leukocytes: Comparison of Different Feature Extraction and Machine Learning Approaches
Blood cells can be separated into three types: erythrocytes, leukocytes and platelets, and to evaluate the health of a patient, a Complete Blood Count (CBC) is necessary. CBC is amongst the most performed test...
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Chapter and Conference Paper
Data Science Applied to Vehicle Telemetry Data to Identify Driving Behavior Profiles
Currently, vehicles have a vast number of sensors, which are important for their operation. To have greater control over the actions of vehicles, the sensors can be combined with telemetry, so that the data re...
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Chapter and Conference Paper
Multi-objective Fault Detection in Ball Bearings
Machine learning techniques are useful for maintenance scheduling, given their capabilities to detect failures or anomaly situations in mechanical equipment. Increasing the accuracy of any mechanical fault det...
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Book and Conference Proceedings
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Article
Multi-objective PID Controller Tuning for Multi-model Control of Nonlinear Systems
Multi-model approaches for non-linear control usually consist in partitioning the operating space of a given non-linear process, in such a way, it is possible to approximate a local linear model for each parti...
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Chapter and Conference Paper
TimeStacking: An Improved Ensemble Learning Method for Continuous Time Series Classification
Machine learning has gained great attention for solving time series classification problems. However, usual machine learning algorithms rely on learning from tabular data, and additional signal processing and ...
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Chapter and Conference Paper
Multi-objective Logistic Regression for Anomaly Detection in Water Distribution Systems
Providing clean and safe drinking water is a crucial task for any water supply company. In such an activity, automatic anomaly detection plays a critical role in drinking water quality monitoring. Recent anoma...
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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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Book
Controller Tuning with Evolutionary Multiobjective Optimization
A Holistic Multiobjective Optimization Design Procedure
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Chapter
Controller Tuning for Univariable Processes
In this chapter, a simple controller tuning statement by means of the multiobjective optimization design procedure is given. The aim of this chapter is to show a basic example in controller tuning and to focus...
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Chapter
Comparing Control Structures from a Multiobjective Perspective
This chapter will illustrate the tools presented in previous chapters for the analysis and comparison of different design concepts. In particular, three different control structures (PI, PID and GPC) will be c...
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Chapter
The ABB’2008 Control Benchmark: A Flexible Manipulator
In this chapter, a digital controller is tuned for the control benchmark proposed in 2008 by the ABB group at the 17th IFAC World Congress via multiobjective optimization. In some instances, a more realistic e...
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Chapter
Multiobjective Optimization Design Procedure for Controller Tuning of a Peltier Cell Process
In this chapter a Peltier cell is used for cooling and freezing purposes. The main challenge from the control point of view is to guarantee the setpoint response performance for both tasks despite the process ...
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Chapter
Multiobjective Optimization Design Procedure for an Aircraft’s Flight Control System
In this chapter, the multiobjective optimization design procedure will be used to tune the autopilot controllers for an autonomous Kadett ...
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Chapter
Controller Tuning for Multivariable Processes
In this chapter, a multivariable controller is tuned by means of a multiobjective optimization design procedure. For this design problem, several specifications are given, regarding individual control loops an...
