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Autonomous racing is a dynamic and challenging domain that not only pushes the limits of technology, but also plays a crucial role in …

The rapid advancement of Earth observation (EO) capabilities is driving an explosive increase in remote sensing data. There is an …

The Internet of Things consistently generates vast numbers of data, sparking increasing concern over the protection of data privacy and …

With the emphasis on healthcare, early childhood education, and fitness, non-invasive measurement and recognition methods have received …

Federated learning (FL) has been gaining attention for its ability to share knowledge while maintaining user data, protecting privacy, …

Machine learning (ML) is widely used for key tasks in Connected and Automated Vehicles (CAV), including perception, planning, and …

Human sensing is significantly improving our lifestyle in many fields such as elderly healthcare and public safety. Research has …

Federated learning (FL) shines through in the internet of things (IoT) with its ability to realize collaborative learning and improve …

In recent years, indoor positioning systems (IPSs) have received attention from many research fields, such as robotics, navigation, …

Human monitoring applications in indoor environments depend on accurate human identification and activity recognition (HIAR). Single …