Industrial process data are usually mixed with missing data and outliers which can greatly
affect the statistical explanation abilities for traditional data-driven modeling methods. In this …

The on-road braking emission has been proved by former studies to account for a
considerable part of on-road transportation. To improve cleaner air in urban area, the spatio …

Inertial navigation is an edge computing-based method for determining the position and
orientation of a moving vehicle that operates according to Newton's laws of motion on which …

Unveiling the intricate relationships between animal movement ecology, feeding behavior,
and internal energy budgeting is crucial for a comprehensive understanding of ecosystem …

A few prosthetic control systems in the scientific literature obtain pattern recognition
algorithms adapted to changes that occur in the myoelectric signal over time and, frequently …

The use of wearable sensors for automatic recognition of human activities has pervaded
both professional and recreational sports. While many activities involving only a single …

Big data and modern MaaS research are closely related. The GPS trajectory data, which
indicate the urban mobility pattern, account for a considerable part of the research in MaaS …

Underwater visual-inertial navigation is challenging due to the poor visibility and presence
of outliers in underwater environments. The navigation performance is closely related to …

Unveiling the intricate relationships between animal movement ecology, feeding behaviour,
and internal energy budgeting is essential for a comprehensive understanding of ecosystem …

Accurate position tracking is a crucial task in many applications ranging from car navigation
over robot control to sports analysis. In order to improve the accuracy of position tracking, we …