Mobility prediction in vehicular ad-hoc networks: Prediction aims, techniques, use cases, and research challenges

IT Abdel-Halim, HMA Fahmy - IEEE Intelligent Transportation …, 2019 - ieeexplore.ieee.org
The accurate prediction of the vehicle mobility in Vehicular Ad-hoc Networks (VANETs) has
a significant effect in the rapid deployment of Intelligent Transport Systems (ITSs) as well as …

Wlasl-lex: a dataset for recognising phonological properties in american sign language

F Tavella, V Schlegel, M Romeo, A Galata… - arXiv preprint arXiv …, 2022 - arxiv.org
Signed Language Processing (SLP) concerns the automated processing of signed
languages, the main means of communication of Deaf and hearing impaired individuals …

Signs of Language: Embodied Sign Language Fingerspelling Acquisition from Demonstrations for Human-Robot Interaction

F Tavella, A Galata, A Cangelosi - 2023 32nd IEEE International …, 2023 - ieeexplore.ieee.org
Learning fine-grained movements is a challenging topic in robotics, particularly in the
context of robotic hands. One specific instance of this challenge is the acquisition of …

Enabling privacy with transfer learning for image classification dnns on mobile devices

A Seiderer, M Dietz, I Aslan, E André - Proceedings of the 4th EAI …, 2018 - dl.acm.org
More people could benefit of Machine Learning (ML) as an increasingly important
technology and service, if state-of-the-art ML techniques with training capability were …

[PDF][PDF] Mobility Prediction in Vehicular Ad-hoc Networks: Prediction Aims, Techniques, Use Cases, and Research Challenges

ITAHH Mahmoud, A Fahmy - academia.edu
The accurate prediction of the vehicle mobility in Vehicular Ad-hoc Networks (VANETs) has
a significant effect in the rapid deployment of Intelligent Transport Systems (ITSs) as well as …