Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Pierluigi Dibari"'
Publikováno v:
Roadmapping Extended Reality. :183-192
Autor:
Pierluigi Dibari, Massimiliano Nitti, Cosimo Patruno, Gaetano Pernisco, Maria di Summa, Nicola Mosca, Vito Reno
Publikováno v:
2022 IEEE 9th International Workshop on Metrology for AeroSpace (MetroAeroSpace).
Autor:
Roberto Crugliano, Rosalia Maglietta, Pierluigi Dibari, Vito Renò, Rita Lecci, Salvatore Causio, Giovanni Coppini, Roberto Carlucci, Giovanni Dimauro, Carmelo Fanizza
Publikováno v:
2021 International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea).
The presence of cetaceans in a sea basin indicates the quality of that ecosystem. To support the conservation of these species, it is essential to deepen our knowledge of their habitual life. Given data about sighting of cetaceans in the Ionian Sea o
Autor:
Angelo Petrozza, Francesco Cellini, Rosalia Maglietta, Massimiliano Nitti, Pierluigi Dibari, Vito Renò, Stephan Summerer, Giovanni Dimauro
Publikováno v:
Multimodal Sensing and Artificial Intelligence: Technologies and Applications II.
Plant phenotyping is the complete evaluation of complex plant traits such as its growth, development, tolerance or resistance, measured on the basis of quantitative and individual parameters of the plant itself. The evaluation process should be autom
Autor:
Giovanni Dimauro, Pierluigi Dibari, Giovanna Castellano, Rosalia Maglietta, Vito Renò, Massimiliano Nitti
Publikováno v:
Multimodal Sensing and Artificial Intelligence: Technologies and Applications II.
In this study we analyzed deep learning methods for point clouds semantic segmentation. We compared PointNet and PointNet++ on data with different characteristics, coming from distinct domains, in order to understand their behavior. Finally, we explo
Autor:
Pierluigi Dibari, Gennaro Gala, Rosalia Maglietta, Vito Renò, Gennaro Vessio, Carmelo Fanizza, Giovanna Castellano, Roberto Carlucci, Giovanni Dimauro
Publikováno v:
2020 5th International Conference on Smart and Sustainable Technologies (SpliTech).
This study aims to develop a CNN-based system for dolphins’ photo-identification. Starting from 1,960 photos of dolphin fins each one labeled with the related dolphin name, we have developed a predictive model able to classify unknown fins. In part
Autor:
Pierluigi Dibari, Gennaro Gala, Roberto Carlucci, Giovanni Dimauro, Giulia Cipriano, Nicola Mosca, Vito Renò, Carmelo Fanizza, Vito Telesca, Rosalia Maglietta
Publikováno v:
Multimodal Sensing: Technologies and Applications.
Algorithms based on a clever exploitation of artificial intelligence (AI) techniques are the key for modern multidisciplinary applications that are being developed in the last decades. AI approaches’ ability of extracting relevant information from