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Xiaori Gao, Lidong Wang, Zeyu Wu and Xiaodong Liu
The steady turning motion of merchant ships is modeled according to industry specifications. However, challenges arise when motorboats are modeled. This study proposes a novel data-driven multi-block fuzzy cognitive map (FCM) model trained based on sea t...
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K. Haritha, M. V. Judy, Konstantinos Papageorgiou, Vassilis C. Georgiannis and Elpiniki Papageorgiou
The features of a dataset play an important role in the construction of a machine learning model. Because big datasets often have a large number of features, they may contain features that are less relevant to the machine learning task, which makes the p...
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Silvia Carpitella, Bruno Brentan, Antonella Certa and Joaquín Izquierdo
This paper introduces a recommendation system aimed at enhancing the sustainable process of risk management within airport operations, with a special focus on Occupational Stress Risks (OSRs). The recommendation system is implemented via a flexible Pytho...
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Subhashree Nath and Raphael Karutz
Liveability assessments of informal urban settlements are scarce. In India, a number of slum upgrading schemes have been implemented over the last decades aiming at better living conditions. However, these schemes rarely consider improvement in liveabili...
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Konstantinos Demertzis, Konstantinos Rantos and George Drosatos
The evolution of the Internet of Things is significantly affected by legal restrictions imposed for personal data handling, such as the European General Data Protection Regulation (GDPR). The main purpose of this regulation is to provide people in the di...
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Konstantinos I. Papageorgiou, Katarzyna Poczeta, Elpiniki Papageorgiou, Vassilis C. Gerogiannis and George Stamoulis
This paper introduced a new ensemble learning approach, based on evolutionary fuzzy cognitive maps (FCMs), artificial neural networks (ANNs), and their hybrid structure (FCM-ANN), for time series prediction. The main aim of time series forecasting is to ...
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Aleksandr Podvesovskii,Ruslan Isaev
Pág. 35 - 61
The paper deals with the problems of structural and parametric identification of cognitive models by the example of Sylov?s fuzzy cognitive maps (FCM). It is demonstrated that the problem of parametric identification can be solved using two types of meth...
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