The Internet of Things (IoT) is a paradigm characterized by a network of embedded sensors and services. These sensors are incorporated to collect various information, track physical …
X Huang, J Zhan, W Ding, W Pedrycz - Information Fusion, 2023 - Elsevier
Estimating interest rates is a typical multivariate prediction problem that has garnered considerable attention in the finance industry. However, the rising complexity of the …
Social media services such as TripAdvisor and Foursquare can provide opportunities for users to exchange their opinions about urban green space (UGS). Visitors can exchange …
L Wei, L Jin, X Luo - IEEE Transactions on Systems, Man, and …, 2022 - ieeexplore.ieee.org
Up to date, the existing methods for nonlinear optimization with time-dependent parameters can be classified into two types: 1) static methods are capable of handling inequality …
Transport emissions, including road, rail, air, and marine transportation, account for a large part of the overall emissions; hence, there is a need to review strategies for managing …
LiDAR point cloud clustering is an essential part of a wide range of applications such as object detection, object recognition, and localization. In this paper, we focus on Density …
The faults caused by abnormal transmission line targets have become the main reason for the outage of transmission lines. This has brought great economic losses to society. At …
Spatiotemporal analysis ranges from simple univariate descriptive statistics to more complex multivariate analyses. Such an analysis can be used to explore spatial and temporal …
This paper aims to address the exponential synchronization issue of coupled delayed memristive neural networks (CDMNNs) via event-triggered impulsive control (ETIC). To do …