10 citations · 16 across the 3 of their papers we have counts for
4 papers
Traffic4cast at NeurIPS 2021 -- Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes
Christian Eichenberger, Moritz Neun, Henry Martin +34
The IARAI Traffic4cast competitions at NeurIPS 2019 and 2020 showed that neural networks can successfully predict future traffic conditions 1 hour into the future on simply aggrega…
SwinUNet3D -- A Hierarchical Architecture for Deep Traffic Prediction using Shifted Window Transformers
Alabi Bojesomo, Hasan Al Marzouqi, Panos Liatsis
Traffic forecasting is an important element of mobility management, an important key that drives the logistics industry. Over the years, lots of work have been done in Traffic fore…
Traffic flow prediction using Deep Sedenion Networks
Alabi Bojesomo, Panos Liatsis, Hasan Al Marzouqi
In this paper, we present our solution to the Traffic4cast2020 traffic prediction challenge. In this competition, participants are to predict future traffic parameters (speed and v…
Toward Physically Unclonable Functions from Plasmonics-Enhanced Silicon Disc Resonators
Johann Knechtel, Jacek Gosciniak, Alabi Bojesomo +3
The omnipresent digitalization trend has enabled a number of related malicious activities, ranging from data theft to disruption of businesses, counterfeiting of devices, and ident…