Noise is inevitable in the collection of traffic data, which may cause accuracy and stability
issues in smart mobility applications. In the literature, most of the existing studies on traffic …

This paper focuses on water quality prediction in the presence of a large number of missing
values in water quality monitoring data. Current water quality monitoring data mostly come …

Assessing the transport flow robustness is a significant aspect of a qualitative solution to
traffic management problems. Therefore, management should be based on appropriate …

This paper presents a cooperative intelligent driving (CID) scheme to optimally control a
vehicle's speed in multi-lane traffic, smooth its flow, and facilitate others to improve their …

In this study, we develop and implement the Extended Kalman Filter (EKF) to forecast the
rate of change in tumor cells, healthy host cells, and effector immune cells within the Itik …

Missing values are the major problem in a time-series dataset that lead to a very typical
phenomenon in a dataset analysis. Better analysis of a dataset in ubiquitous computing can …

Neste trabalho, é proposto um filtro de partículas baseado em estimação adaptativa
inovativa para sistemas não lineares, bem como seus fundamentos e operação. Com o …

In this work, a particle filter based on innovative adaptive estimation for tracking a moving
target in 2D is proposed. Aiming to mitigate the uncertainty or lack of knowledge of the …