Real-time soft tissue characterization is significant to robotic assisted minimally invasive
surgery for achieving precise haptic control of robotic surgical tasks and providing realistic …

Tracking objects on camera or video is very important for automated surveillance systems.
Along with the development of techniques and scientific research in object tracking …

In this paper, a new Newton-based extremum-seeking control for dynamic systems is
proposed using Kalman filter for gradient and Hessian estimation as well as a stochastic …

Condensed water vapor in the atmosphere is observed as precipitation whenever moist air
rises sufficiently enough to produce saturation, condensation, and the growth of precipitation …

The actuator, which generally consists of motors, electrical regulations, and propellers, is the
key component of the quadrotor Unmanned Aerial Vehicle. During the operation of the UAV …

This article investigates the causes of occasional flight instability observed in Unmanned
Aerial Vehicles (UAVs). The issue manifests as unexpected oscillations that can lead to …

Numerous applications can be enhanced by accurate and efficient indoor localisation using
wireless sensor networks, however trade-offs often exist between these two parameters. In …

Nested parallelism is a well-known parallelization strategy to exploit irregular parallelism in
HPC applications. This strategy also fits in critical real-time embedded systems, composed …

Object tracking in computer vision plays an important role for automating the process of
video surveillance and robot navigation. The trajectories of every moving object are …

In this paper, a new Newton-based extremum-seeking control for dynamic systems is
proposed using Kalman filter for gradient and Hessian estimation as well as a stochastic …