Time series data correspond to observations of phenomena that are recorded over time [1] . Such encountered regularly in a wide range applications, such as speech and music recognition, monitoring health medical diagnosis, financial analysis, motion tracking, shape i...

We investigate whether or not ex post destruction can solve the hold-up problem. After clarifying the difference between ex post destruction and nontrade when negotiation breaks down, we show that the option of ex post destruction is not sufficient to enhance ex ante efficiency. In particular, only if the information about the spitefulness of the supplier is coarse enough, will the option of ex...

This paper presents a machine learning approach to automatically classifying post-harvest vegetal species. Color images of species were applied convolutional neural networks (CNNs) and support vector (SVM) classifiers. We focused on okra as the target classified it into two quality types. However, our could also be other The solution consists several components, each design process its combinat...

Despite scientific and clinical advances, stroke is still considered one of the main causes disability, including gait disorders. The search for more effective methods re-education in post-stroke patients most important issues contemporary neurorehabilitation. In this paper, we propose a transformation feature space definition class labels problem to efficiently study related phenomena assess f...