Cognitive assessment of topological movement Patterns and direction turns: An influence of scale

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Desenvolvimento de um head-mounted display estereoscópio

Dissertação para obtenção do Grau de Mestre em Engenharia Física

The role of Grainy head in epithelial tissue growth

Part of the results of this thesis was presented in the following meetings: Susana Ponte, Lara Carvalho, Inês Cristo and António Jacinto. The role of Grainy head in epithelial tissue growth. Drostuga 2013. Faro, Portugal, January 3rd 2014 [poster] Susana Ponte, Lara Carvalho, Inês Cristo and António Jacinto. The role of Grainy head in epithelial tissue growth. Drostuga 2014. Tomar, Portugal, September 5th-6th 2014 [poster]

Predicting market movement with Artificial Neural Networks

This paper presents an application of an Artificial Neural Network (ANN) to the prediction of stock market direction in the US. Using a multilayer perceptron neural network and a backpropagation algorithm for the training process, the model aims at learning the hidden patterns in the daily movement of the S&P500 to correctly identify if the market will be in a Trend Following or Mean Reversion behavior. The ANN is able to produce a successful investment strategy which outperforms the buy and hold strategy, but presents instability in its overall results which compromises its practical application in real life investment decisions.