Out-of-distribution (OOD) inputs can compromise the performance and safe...
This paper presents the largest publicly available, non-simulated, fleet...
This paper investigates Cell-Free massive MIMO networks, where each acce...
This paper focuses on the limitations of current over-parameterized shad...
With a wide range of shadows in many collected images, shadow removal ha...
Neural networks are capable of learning powerful representations of data...
Cell-Free Massive Multiple-input Multiple-output (mMIMO) consists of man...
Predictive maintenance systems have the potential to significantly reduc...
We investigate the feasibility of using Massive MIMO to support URLLC in...
We study internet of things (IoT) systems supported by cell-free (CF) ma...
This paper presents a long-term object tracking framework with a moving ...
The COVID-19 outbreak has dramatically changed travel behavior in affect...
We consider Internet of Things (IoT) organized on the principles of cell...
Multiple antenna technologies have attracted large research interest for...
Predicting pairs of anchor users plays an important role in the cross-ne...
Goal: Squamous cell carcinoma of cervix is one of the most prevalent can...
We present the first purely event-based, energy-efficient approach for o...
Graph Neural Networks (GNNs) have been popularly used for analyzing
non-...
Current outdoor mobile network infrastructure cannot support uplink inte...
We introduce a new event-based visual descriptor, termed as distribution...