Since the landmark work of RE Kalman in the 1960s, considerable efforts have been
devoted to time series state space models for a large variety of dynamic estimation …

This article deals with state estimation of nonlinear stochastic dynamic systems. The stress is
laid on general introduction of the selected estimation methods, description of their …

Scheduling maintenance tasks based on the deteriorating process has often been
established on degradation models. However, the formulas of the degradation processes …

Vehicle-to-grid (V2G) technology enables bidirectional charging of electric vehicle (EV) and
facilitates power grid ancillary services. However, battery pack in EV may develop in-cell …

In this paper, a parameter optimization algorithm via the wavelet neural network (WNN)
based on fractal derivative is proposed to estimate the state of charge (SOC) from the …

Working memories are thought to be held in attractor networks in the brain. These attractors
should keep track of the uncertainty associated with each memory, so as to weigh it properly …

Volumetric video allows viewers to experience highly-realistic 3D content with six degrees of
freedom in mixed reality (MR) environments. Rendering complex volumetric videos can …

Effective assisted living environments must be able to infer how their occupants interact in a
variety of scenarios. Gaze direction provides strong indications of how a person engages …

Human bias towards more recent events is a common and well-studied phenomenon.
Recent studies in visual perception have shown that this recency bias persists even when …

Advanced multi-sensor systems are expected to combat the challenges that arise in object
recognition and state estimation in harsh environments with poor or even no prior …