Domenico Grimaldi

TL;DR: The Artificial Neural Networks used to estimate the blood pressure from the PPG signal show better accuracy than the linear regression method and satisfy the American National Standards of the Association for the Advancement of Medical Instrumentation.

TL;DR: This method can recognize classical single- carrier modulations, as well as orthogonal frequency-division multiplexing modulations such as discrete mul- titone that is used for asymmetricdigital subscriber line and very high speed digital subscriber line standards and for power-line carrier transmissions.

TL;DR: This paper, after a brief theoretical background to Artificial Neural Networks (ANNs), reviews their utilization in the field of measurements and presents the strategies for building suitable ANN-based software models of mixed analogue/digital measurement devices.

TL;DR: An approach is proposed which is based on object-oriented programming and client/server communications and which allows remote configuration and monitoring of the measurement system and proves useful both for educational and industrial measurement requirements.

TL;DR: In this paper, the authors proposed a framework based on the Hilbert-Huang Transform for the evaluation of material damages that facilitates the systematic employment of both established and promising analysis criteria, and provides unsupervised tools to achieve an accurate classification of the fracture type, the discrimination between longitudinal (P-) and traversal (S-) waves related to an acoustic emission event.