Human Intelligence is considered superior compared to Artificial Intelligence (AI) because of
its ability to adapt faster to changes. Due to increasing data deluge, it is cumbersome for …

With the development of information network, the popularity of Internet of Things (IoT) is an
irreversible trend, and the intelligent demands for IoT is becoming more and more urgent …

Heterogeneous sensing systems, consisting of sensors with different sensing capabilities,
offer flexibility and provide multiple views of the sensed field by acquiring different types of …

A wireless sensor network (WSN) consists of a collection of sensor nodes, which are
equipped with processing and wireless communication facilities to share data between each …

AI-enabled precision medicine promises a transformational improvement in healthcare
outcomes by enabling data-driven personalized diagnosis, prognosis, and treatment …

The deployment of networks of sensors and development of pertinent information
processing techniques can facilitate the requirement of situational awareness present in …

Prolonging the overall network lifetime is an important challenge and clustering proves to be
a key solution towards it. The topology of the network such as sensor-based IoT is affected …

We introduce an unsupervised learning approach that combines the truncated singular
value decomposition with convex clustering to estimate within-cluster directions of maximum …

AI-enabled precision medicine promises a transformative improvement in healthcare
outcomes. However, training on biomedical data presents a challenge: such data are often …

In radar networks, radar selection has played a more and more important role. Many radar
selection methods have been proposed. Recently a novel method which is based on …