RAGUSA , Edoardo

This paper describes a digital circuit architecture which implements a recently proposed algorithm for the solution of the point location problem in the evaluation of piecewise affine functions. The circuit is suitable for FPGA implementation of explicit Model Predictive Control. The performances of the architecture are tested in a case study...

Variable energy constraints affect the implementations of neural networks on battery-operated embedded systems. This paper describes a learning algorithm for randomization-based neural networks with hard-limit activation functions. The approach adopts a novel cost function that balances accuracy and network complexity during training. From an...

Machine learning algorithms are typically designed to deal with data represented as vectors. Several major applications, however, involve multi-way data, such as video sequences and multi-sensory arrays. In those cases, tensors endow a more consistent way to capture multi-modal relations, which may be lost by a conventional remapping of...

The availability of compact digital circuitry for the support of neural networks is a key requirement for resource-constrained embedded systems. This brief tackles the implementation of single hidden-layer feedforward neural networks, based on hard-limit activation functions, on reconfigurable devices. The resulting design strategy relies on a...

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Subjectivity detection is a task of natural language processing that aims to remove 'factual' or 'neutral' content, i.e., objective text that does not contain any opinion, from online product reviews. Such a pre-processing step is crucial to increase the accuracy of sentiment analysis systems, as these are usually optimized for the binary...

The development of automated tools capable of monitoring electric motors is important for industrial applications. The measure of partial discharges is one of the most prominent methodologies for the evaluation of electric motors operating conditions. This work proposes to apply tensor-based classification methods to discriminate between...

The introduction of Point Of Care (POC) devices is revolutionizing the field of diagnostics, thanks to their ease of use, portability, and real-time results. However, despite such advantages, POCs are still less accurate than traditional laboratory-based methods. In most cases, this is due to the qualitative on-off response of POCs along with...