Estudo de revestimentos ativos para o isolamento térmico de edifícios

Dissertação de mestrado em Sustentabilidade do Ambiente Construído

Flexible thin-film lithium battery

Tese de Doutoramento Programa Doutoral em Engenharia Electrónica e Computadores.

Fendas de secagem em vigas de madeira: causas, efeitos na capacidade resistente e métodos de reparação

Dissertação de mestrado integrado em Engenharia Civil

Desenvolvimento de membranas poliméricas baseadas em Poli(fluoreto de vinilideno) para a filtração de materiais biológicos

Dissertação de mestrado em Biofísica e Bionanossistemas

Optimization techniques to detect early ventilation extubation in intensive care units

The decision support models in intensive care units are developed to support medical staff in their decision making process. However, the optimization of these models is particularly difficult to apply due to dynamic, complex and multidisciplinary nature. Thus, there is a constant research and development of new algorithms capable of extracting knowledge from large volumes of data, in order to obtain better predictive results than the current algorithms. To test the optimization techniques a case study with real data provided by INTCare project was explored. This data is concerning to extubation cases. In this dataset, several models like Evolutionary Fuzzy Rule Learning, Lazy Learning, Decision Trees and many others were analysed in order to detect early extubation. The hydrids Decision Trees Genetic Algorithm, Supervised Classifier System and KNNAdaptive obtained the most accurate rate 93.2%, 93.1%, 92.97% respectively, thus showing their feasibility to work in a real environment.

Incorporation of hybrid phase change materials in plastering mortars for increased energy efficiency in buildings

Tese de Doutoramento em Engenharia Civil.