Intelligent Technologies: Design and Applications for Society
Proceedings of CITIS 2022
Chapter and Conference Paper
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, ...
Chapter and Conference Paper
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...
Chapter and Conference Paper
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...
Chapter and Conference Paper
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 ...
Chapter and Conference Paper
Chapter and Conference Paper
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...
Chapter and Conference Paper
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...
Chapter and Conference Paper
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...
Book and Conference Proceedings
Article
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...
Chapter and Conference Paper
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 ...
Chapter and Conference Paper
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...
Article
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...
Book
A Holistic Multiobjective Optimization Design Procedure
Chapter
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...
Chapter
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...
Chapter
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...
Chapter
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 ...
Chapter
In this chapter, the multiobjective optimization design procedure will be used to tune the autopilot controllers for an autonomous Kadett ...
Chapter
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...