Encontrados 34 documentos, a visualizar página 1 de 4
School Dropout Screening through Artificial Neural Networks based Systems
Figueiredo, Margarida; Vicente, Lídia; Vicente, Henrique; Neves, JoséSchool dropout is one of the major concerns of our society. Indeed, it is a complex phenomenon, resulting in economic and social losses, either to the individual, family or the community to which the person belongs. Academic difficulty and failure, poor attendance, retention, disengagement from school together with family and socio-economic reasons can lead to such occurrence. In this work Logic Programming was...
Evaluation of Concrete Deterioration through Artificial Neural Networks based S...
Gomes, Guida; Vicente, Henrique; Neves, JoséThe deterioration of concrete structures is one of the major concerns of our society. Indeed, concrete is a relatively sensitive material, which degrades throughout time. Factors like age, use, periodic maintenance, type of environmental exposure and aggression by biological, chemical, mechanical and physical agents are important to determine the level of degradation of the concrete structures. Logic Programmin...
An Engine Oil Replacement Timeline
Neves, José; Ferraz, Filipa; Vicente, Henrique; Novais, PauloEngine oil conditions are crucial either for the proper engine function and to calculate the oil´s lifetime. Factors like rotation per minute, temperature, trip length, clarity of the oil is important to determine the level of contamination of the engine oil. Thus, the type of engine heating cycles, the power of the engine and the components of the oil used are also factors that determine whenever oil replaceme...
Lab Classes in Chemistry Learning - An Artificial Intelligence View
Figueiredo, Margarida; Esteves, M. Lurdes; Neves, José; Vicente, HenriqueThe teaching methodology used in lab classes in Chemistry Learning was studied for a cohort of 702 students in the 10th grade of Portuguese Secondary Schools. The k-Means Clustering Method, with k values ranging between 2 (two) and 4 (four), was used in order to segment the data. Decision Trees were used for the development of explanatory models of the segmentation. The results obtained showed that the majority...
Modelling Molecular and Inorganic Data of Amanita ponderosa Mushrooms using Art...
Salvador, Cátia; Martins, M. Rosário; Vicente, Henrique; Neves, José; Arteiro, José; Caldeira, A. TeresaAbstract Wild edible mushrooms Amanita ponderosa Malenc¸on and Heim are very appreciated in gastronomy, with high export potential. This species grows in some microclimates, namely in the southwest of the Iberian Peninsula. The results obtained demonstrate that A. ponderosa mushrooms showed different inorganic composition according to their habitat and the molecular data, obtained by M13-PCR, allowed to disting...
An Extension of the Eindhoven Classification Model to the Educational Sector
Figueiredo, Margarida; Vicente, Lídia; Vicente, Henrique; Alves, Victor; Neves, JoséThis work presents an extension of the Eindhoven Classification Model to sort adverse events root causes for the Educational Sector. Extended Logic Programming was used for knowledge representation and reasoning with defective information, allowing for the modelling of the universe of discourse in terms of default data, information and knowledge. Indeed, a systematization of the evolution process of the body of...
Prediction of bioactive compounds activity against wood contaminant fungi using...
Vicente, Henrique; Roseiro, José; Arteiro, José; Neves, José; Caldeira, A. TeresaBiopesticides based on natural endophytic bacteria to control plant diseases are an ecological alternative to the chemical treatments. Bacillus species produce a wide variety of metabolites with biological activity like iturinic lipopeptides. This work addresses the production of biopesticides based on natural endophytic bacteria, isolated from Quercus suber. Artificial Neural Networks were used to maximize the...
A Logic Programming Approach for the Conservation of Buildings Based on an Exte...
Gomes, Guida; Vicente, Henrique; Macedo, Joaquim; Alves, Victor; Neves, JoséThe identification, classification and recording of events that may lead to the deterioration of buildings are crucial for the development of appropriate repair strategies. This work presents an extension of the Eindhoven Classification Model to sort adverse events root causes for Building Conservation. Logic Programming was used for knowledge representation and reasoning, letting the modelling of the universe ...
A data mining approach to improve multiple regression models of soil nitrate co...
Nunes, Jorge; Madeira, Manuel; Gazarini, Luiz; Neves, José; Vicente, HenriqueThe changes in the soil nitrate concentration were studied during 2 years in a ‘‘montado’’ ecosystem, in the South of Portugal. Total rainfall, air and soil temperature and soil water content under and outside Quercus rotundifolia canopy were also evaluated. A cluster analysis was carried out using climatic and microclimatic parameters in order to maximize the intraclass similarity and minimize the interclass s...
A data mining approach to improve multiple regression models of soil nitrate co...
Nunes, Jorge; Madeira, Manuel; Gazarini, Luiz; Neves, José; Vicente, HenriqueThe changes in the soil nitrate concentration were studied during 2 years in a ‘‘montado’’ ecosystem, in the South of Portugal. Total rainfall,air and soil temperature and soil water content under and outside Quercus rotundifolia canopy were also evaluated. A cluster analysis was carried out using climatic and microclimatic parameters in order to maximize the intraclass similarity and minimize the interclass si...
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