Human Activity Recognition (HAR) training data is often privacy-sensitiv...
This paper presents an achievability bound that evaluates the exact
prob...
This paper presents a novel approach for multimodal data fusion based on...
The pervasiveness of Wi-Fi signals provides significant opportunities fo...
A new method for multimodal sensor fusion is introduced. The technique r...
Consider n nodes communicating over an unreliable broadcast channel. Eac...
Traditional approaches to activity recognition involve the use of wearab...
Open Radio Access Network (ORAN) is being developed with an aim to
democ...
This paper presents a new derivation method of converse bounds on the
no...
In a world where Artificial Intelligence revolutionizes inference, predi...
Deep clustering has increasingly been demonstrating superiority over
con...
Future Connected and Automated Vehicles (CAV), and more generally ITS, w...
Future Connected and Autonomous Vehicles (CAVs) will be equipped with a ...
A large-scale dataset of measurements of ETSI ITS-G5 Dedicated Short Ran...
Millimeter Waves (mmWaves) will play a pivotal role in the next-generati...
Connected and Automated Vehicles (CAVs) are expected to constantly inter...
This paper considers a network where a node wishes to transmit a source
...
The field of parallel network simulation frameworks is evolving at a gre...
As we move towards autonomous vehicles, a reliable Vehicle-to-Everything...
Connected and Autonomous Vehicles (CAVs) require continuous access to se...
Connected and Autonomous Vehicles (CAVs) will play a crucial role in
nex...
Computer simulations and real-world car trials are essential to investig...
Gigabit-per-second connectivity among vehicles is expected to be a key
e...
Connected and autonomous vehicles will play a pivotal role in future
Int...
Obtaining high quality sensor information is critical in vehicular
emerg...