Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Marina Giordanino"'
Autor:
Dario Sabella, Purvi Thakkar, Leonardo Gomes Baltar, Jyoti Sharma, Alexander Harmand, Andrea Lagana, Roberto Querio, Maurizio De Paola, Mauro Castagno, Sushanta Das, Marina Giordanino, Maria Cuevas, Philip Eardley, Youssef Abdelilah, Michael Elkabas, Mohamed Eldakroury, Maria Praveen, Saumil Kapadia, Navin Chandra Rao Katta, Shamik Mishra, Himanshu Singh, Nilanjan Samajdar, Fabrizio Arneodo, Riccardo Lesca
Publikováno v:
2021 IEEE Conference on Standards for Communications and Networking (CSCN).
Autor:
Carla-Fabiana Chiasserini, Kalkidan Gebru, Marina Giordanino, Adlen Ksentini, Claudio Casetti, Pantelis A. Franzoudis, Aleksandra Stojanovic, Giuseppe Avino, Christian Vitale
Publikováno v:
2019 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE)
IEEE Transactions on Network and Service Management
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
IEEE Transactions on Network and Service Management
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
Multi-access edge computing (MEC) comes with the promise of enabling low-latency applications and of reducing core network load by offloading traffic to edge service instances. Recent standardization efforts, among which the ETSI MEC, have brought ab
Autor:
Jorge, Baranda, Avino, Giuseppe, Josep, Mangues-Bafalluy, Luca Vettori∗ Ricardo Martınez, Chiasserini, Carla Fabiana, Casetti, CLAUDIO ETTORE, Paolo, Bande, Marina, Giordanino, Marco, Zanzola
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2153::7620a0c0195a2eb78705fd483d8a39fe
http://hdl.handle.net/11583/2752835
http://hdl.handle.net/11583/2752835
Publikováno v:
Engineering Applications of Artificial Intelligence. 25:1053-1061
This paper presents a new approach to improving the overall aeroacoustic comfort of a vehicle, an important feature of vehicle design. The traditional improvement process is extended to benefit extensively from machine learning, information retrieval
Publikováno v:
The Knowledge Engineering Review
The goal of semantic search is to improve on traditional search methods by exploiting the semantic metadata. In this paper, we argue that supporting iterative and exploratory search modes is important to the usability of all search systems. We also i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f160dd0a909482e889d42d5097fd279
http://oro.open.ac.uk/23501/1/download.pdf
http://oro.open.ac.uk/23501/1/download.pdf