In this paper, we investigate the operation of an aerial manipulator sys...
This research paper addresses the challenge of detecting obscured wildfi...
This paper develops an optimal data aggregation policy for learning-base...
With more than 32
buildings, there is an urgent need to revisit traditio...
CSCW studies have increasingly explored AI's role in enhancing communica...
This paper proposes a distributed version of Determinant Point Processin...
In some practical learning tasks, such as traffic video analysis, the nu...
Today's supply chains heavily rely on cyber-physical systems such as
int...
This paper offers a new authentication algorithm based on image matching...
Digital holography is a 3D imaging technique by emitting a laser beam wi...
Driving safety analysis has recently witnessed unprecedented results due...
Unmanned Aerial Vehicles (UAVs), as a recently emerging technology, enab...
Current networking protocols deem inefficient in accommodating the two k...
Wildfires are one of the costliest and deadliest natural disasters in th...
Convolutional layers in Artificial Neural Networks (ANN) treat the chann...
Digital in-line holography is commonly used to reconstruct 3D images fro...
This paper studies the problem of spectrum shortage in an unmanned aeria...
In this paper, we study the problem of spectrum scarcity in a network of...
In this paper, we propose a drone-based wildfire monitoring system for r...
In this paper, we develop a distributed mechanism for spectrum sharing a...
In recent years, using a network of autonomous and cooperative unmanned
...
Unmanned aerial vehicles (UAVs), commonly known as drones, are becoming
...
The problem of adversary target detection and the subsequent task comple...
False alarm is one of the main concerns in intensive care units and can
...