Air quality prediction is highly important in view of the health impacts caused by exposure to air pollutants in urban air. This work has presented a model based on support vector machine (SVM) technique to predict daily average carbon monoxide (CO) concentrations in the atmosphere of Tehran. Two types of SVM regression models, i.e. -SVM and -SVM techniques, were used to predict average daily C...

This paper describes an architecture for intelligent agents derived from user models. The work extends our previous work on user modelling as a basis for various forms of customised systems. We make use of the um toolkit for representation, management and acquisition of the user models. We hav e used um-models as the basis for customisation of a coaching system, a personalised hypertext for tea...

Air quality prediction is highly important in view of the health impacts caused by exposure to air pollutants in urban air. This work has presented a model based on support vector machine (SVM) technique to predict daily average carbon monoxide (CO) concentrations in the atmosphere of Tehran. Two types of SVM regression models, i.e. -SVM and -SVM techniques, were used to predict average daily C...

This paper discusses the design of intelligent wheelchairs that avoid obstacles using differential games. Models for similar applications are investigated. Techniques are provided to satisfy multiple performance requirements of the intelligent wheelchair system. Finally, areas of future work are identified.

Nowadays, there is an increasing need to understand the behavior of COVID-19. After Directorate-General Health Portugal made available infected patient’s data, it became possible analyze and gather some conclusions, obtaining a better understanding matter. In this context, project developed—ioCOVID19—Intelligent Decision Support Platform aims identify patterns develop intelligent models predict...