Titlebook: Computational Science and Its Applications – ICCSA 2022 Workshops; Malaga, Spain, July Osvaldo Gervasi,Beniamino Murgante,Chiara Garau Con

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Computational Science and Its Applications – ICCSA 2022 Workshops978-3-031-10562-3Series ISSN 0302-9743 Series E-ISSN 1611-3349

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External Climate Data Extraction Using the?Forward Feature Selection Method in?the?Context of?Occupaxt of external factors to increase accident risk. Studies that include climate information as a safety parameter in machine learning models designed to predict the occurrence of accidents are not usual. This study aims to create a dataset with the most relevant climatic elements, to get better predi

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Dynamic Analysis of?the?Sustainable Performance of?Electric Mobility in?European Countries towards a climate-neutral economy. Transportation represents almost a quarter of Europe’s greenhouse gas emissions, and it is the remaining sector with increasing emissions, above 1990 levels. Considering also the evolving necessity for the reduction of fossil fuels dependency, Europe’s strategy ha

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A Genetic Algorithm for?Forest Firefighting Optimizationn area. There are many factors that cause forest fires, for example, weather conditions, the increase of global warming and human action. Currently, there has been a growing focus on determining the ignition sources responsible for forest fires. Optimization has been widely applied in forest firefig

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On Monotonicity Detection in?Simplicial Branch and?Bound over?a?Simplextic Branch and Bound (B &B). Part of the concepts can be applied in simplicial B &B over a box. The focus of our research is here on minimizing a function over a lower simplicial dimension feasible set, like in blending and portfolio optimization problems. How can monotonicity be detected and be exp