The current National Airspace System (NAS) is reaching capacity due to
i...
Internet technology has proven to be a vital contributor to many cutting...
Heart Rate Variability (HRV) measures the variation of the time between
...
Deep Learning (DL) and Deep Neural Networks (DNNs) are widely used in va...
Deep Learning (DL) is being applied in various domains, especially in
sa...
Detecting human-object interactions (HOIs) is a challenging problem in
c...
The recent progress in unmanned aerial vehicles (UAV) technology has
sig...
The integration of air and ground smart vehicles is becoming a new parad...
The Internet of Things (IoT) is reshaping modern society by allowing a d...
Anomaly detection has been a challenging task given high-dimensional
mul...
With massive data being generated daily and the ever-increasing
intercon...
The effectiveness of resource allocation under emergencies especially
hu...
Cyber-Physical Systems (CPS) connected in the form of Internet of Things...
Deep Learning (DL) has been utilized pervasively in the Internet of Thin...
Abnormality detection is essential to the performance of safety-critical...
To accommodate the unprecedented increase of commercial airlines over th...
The development of Internet of Things (IoT) brings new changes to variou...
The Internet of Things (IoT) is becoming an indispensable part of everyd...
In the area of geographic information processing. There are few research...
Medical image processing is one of the most important topics in the fiel...
Wireless Sensor Networks (WSNs) constitute one of the most promising
thi...
High-resolution aerial images have a wide range of applications, such as...
Building footprint extraction from high-resolution aerial images is alwa...
Future IoT is expected to get ubiquitous connection and access in a glob...
Model-based development is a widely-used method to describe complex syst...
The ultimate objective of medical cyber-physical systems is to enhance t...