Abstract: In this work, we investigate sensing parameter estimation in the presence of clutter in perceptive mobile networks (PMNs) that integrate radar sensing into mobile communications. Performing ...

Abstract: In the context of Internet of Things (IoT)-enabled wireless multisensor networks, efficient and reliable remote state estimation is often challenged by resource constraints and unreliable ...

Prepare data for clustering by selecting relevant features, scaling them, and determining the optimal number of clusters. The project also provides optional PCA support for dimensionality reduction.

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

The authors use convincing methodology to investigate the detachment and reattachment kinetics of kinesin-1, 2 and 3 motors against loads oriented parallel to the microtubule. The conclusions drawn ...

The authors present a solid study in the unique conditions of weightlessness providing evidence that movements carried out in 0g are underactuated. They further provide a thorough discussion based on ...

Existing WiFi-based human pose estimation methods often focus on discrete pose sample evaluation. This work presents WiFlow, a novel framework for continuous human pose estimation using WiFi signals.