Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Pietro Carnelli"'
Autor:
Ioannis Mavromatis, Theodoros Spyridopoulos, Pietro Carnelli, Woon Hau Chin, Ahmed Khalil, Jennifer Chakravarty, Lucia Cipolina Kun, Robert J. Piechocki, Colin Robbins, Daniel Cunnington, Leigh Chase, Lamogha Chiazor, Chris Preston, Rahul, Aftab Khan
Publikováno v:
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, Vol 10, Iss 4 (2024)
The way we travel is changing rapidly and Cooperative Intelligent Transportation Systems (C-ITSs) are at the forefront of this evolution. However, the adoption of C-ITSs introduces new risks and challenges, making cybersecurity a top priority for ens
Externí odkaz:
https://doaj.org/article/ad011100db094a3ab7ce97c0ededc6bb
Autor:
Ufuk Erol, Francesco Raimondo, James Pope, Samuel Gunner, Vijay Kumar, Ioannis Mavromatis, Pietro Carnelli, Theodoros Spyridopoulos, Aftab Khan, George Oikonomou
Publikováno v:
Data in Brief, Vol 49, Iss , Pp 109392- (2023)
A dataset of sensor measurements is presented. Our dataset contains discrete measurements of 8 IoT devices located in various places in a research lab at the University of Bristol. Nordic nRF52840 DK IoT devices periodically collects environmental da
Externí odkaz:
https://doaj.org/article/26a66c9fd3c94be88b7f5dfc900481f8
Autor:
Ioannis Mavromatis, Aleksandar Stanoev, Pietro Carnelli, Yichao Jin, Mahesh Sooriyabandara, Aftab Khan
Publikováno v:
Data in Brief, Vol 45, Iss , Pp 108658- (2022)
A dataset of street light images is presented. Our dataset consists of ∼350 k images, taken from 140 UMBRELLA nodes installed in the South Gloucestershire region in the UK. Each UMBRELLA node is installed on the pole of a lamppost and is equipped w
Externí odkaz:
https://doaj.org/article/253d84bc85ec4a4abba662c283b33a99
Publikováno v:
2023 IEEE 20th Consumer Communications & Networking Conference (CCNC).
Publikováno v:
Proceedings of the 1st ACM Workshop on AI Empowered Mobile and Wireless Sensing.
Data-enabled cities are recently accelerated and enhanced with automated learning for improved Smart Cities applications. In the context of an Internet of Things (IoT) ecosystem, the data communication is frequently costly, inefficient, not scalable
Publikováno v:
Science of Cyber Security ISBN: 9783031175503
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8bf6705e553e0bc00c05ae7f29b96905
https://doi.org/10.1007/978-3-031-17551-0_25
https://doi.org/10.1007/978-3-031-17551-0_25
Autor:
Ioannis Mavromatis, Adrian Sanchez-Mompo, Francesco Raimondo, James Pope, Marcello Bullo, Ingram Weeks, Vijay Kumar, Pietro Carnelli, George Oikonomou, Theodoros Spyridopoulos, Aftab Khan
Data integrity becomes paramount as the number of Internet of Things (IoT) sensor deployments increases. Sensor data can be altered by benign causes or malicious actions. Mechanisms that detect drifts and irregularities can prevent disruptions and da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a7f82778fbffae83edf4a38e6d91321
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 31:4650-4656
Finding on-street parking in congested urban areas is a challenging chore that most drivers worldwide dislike. Previous vehicle traffic studies have estimated that around thirty percent of vehicles travelling in inner city areas are made up of driver
Publikováno v:
Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services.