Fabrizio Balducci

TL;DR: The results show how there are ample margins for innovation while supporting requests and needs coming from companies that wish to employ a sustainable and optimized agriculture industrial business, investing not only in technology but also in the knowledge and in skilled workforce required to take the best out of it.

TL;DR: This research provides a comparative analysis of state-of-the-art object detectors, visual features, and classification models useful to implement traffic state estimations and demonstrates that the deep learning method is the most accurately performing one reaching an accuracy of 99.9% for binary traffic state classification and 98.6% for multiclass classification.

TL;DR: This paper proposes a novel technique for the automatic detection of dementia based on the attentional matrices test (AMT) for selective attention assessment that has the potential to provide a cost-effective and easy-to-use diagnostic tool, which may also support mass screening of the population.

TL;DR: This article illustrates a system that, by means of a tangible user interface, supports CH experts in creating Smart Interactive Experiences by properly tailoring the behavior of the involved smart objects.

TL;DR: This work studies the affective ludology and shows two different game levels for Neverwinter Nights 2 developed with the aim to manipulate emotions; two sets of affective design guidelines are presented, with a rigorous formalization that considers the characteristics of role-playing genre and its specific gameplay.