New efficient source feature compression solutions are proposed based on...
A new research problem named configuration learning is described in this...
With the increase in use of Unmanned Aerial Vehicles (UAVs)/drones, it i...
The research challenge of current Wireless Sensor Networks (WSNs) is to
...
A novel method to classify human cells is presented in this work based o...
Near-real-time water-quality monitoring in uncertain environments such a...
Underwater vehicles are utilized in various applications including under...
Underwater imagery has enabled numerous civilian applications in various...
Trustworthy operation of our national critical infrastructures, such as ...
Certain sensing applications such as Internet of Things (IoTs), where th...
The design of sensors or "things" as part of the new Internet of Underwa...
Wireless all-analog biosensor design for concurrent microfluidic and
phy...
Scalability is a major issue for Internet of Things (IoT) as the total a...
A low-complexity all-analog circuit is proposed to perform efficiently A...
To enable low-power and low-complexity wireless monitoring, an improved
...
Corner cases are the main bottlenecks when applying Artificial Intellige...
Argus exploits a Multi-Agent Reinforcement Learning (MARL) framework to
...
Mobile context determination is an important step for many context aware...
Developing a Brain-Computer Interface (BCI) for seizure prediction can h...
The hippocampus is a seminal structure in the most common surgically-tre...