IRIS  Catalogo Istituzionale della Ricerca dell'Università degli Studi del Molise

Multi-class Detection of Arrhythmia Conditions Through the Combination of Compressed Sensing and Machine Learning

Medical technologies in the form of wearable devices are an integral part of our daily lives. These devices are devoted to acquire physiological data to provide personal analytics and to assess the physical status of assisted individuals. Nowadays, thanks to the research effort and to the continuously evolving technologies, telemedecine plays a crucial role in healthcare. Electrocardiogram (ECG) is one of the source signal that has been widely involved in telemedicine and therefore the need f...

Sorry, i don't Understand: Improving Voice User Interface Testing

Voice-based virtual assistants are becoming increasingly popular. Such systems provide frameworks to developers on which they can build their own apps. End-users can interact with such apps through a Voice User Interface (VUI), which allows to use natural language commands to perform actions. Testing such apps is far from trivial: The same command can be expressed in different ways. To support developers in testing VUIs, Deep Learning (DL)-based tools have been integrated in the development e...

Microplastic fiber content in Mullus barbatus from the Tyrrhenian Sea: preliminary results.

Morphological analysis approach to detect microfiber contamination in Mytilus galloprovincialis

Microplastic pollution is a widespread threat for marine fauna. Mussels are good candidates for assessment of microplastic exposure in the environment because of their wide geographical and spatial distribution and their filtration system. In this work the 65% of analysed mussels assessed the presence of microfibres in their tissue, with an amount ranged from 0.0 to 4.3 MF/ g ww. This result confirm that mussels could be used as biomonitors of surrounding environment pollution.