Interval time series forecasting can be used for forecasting special symbolic data comprising
lower and upper bounds and plays an important role in handling the complexity, instability …

Abstract Machine Learning (ML) features are extensively applied in various domains,
notably in the context of Metaheuristic (MH) optimization methods. While MHs are known for …

Automatic guided vehicles have become an important part of transporting goods in dynamic
environments, and how to design an efficient path planning method for multiple AGVs is a …

Symbolic data analysis is a research area related to machine learning and statistics, which
provides tools to describe geo-objects, and enables several types of variables to be dealt …

The development of high nature value farmland (HNVf) can effectively improve the problems
of biodiversity reduction, non-point source pollution and carbon loss in intensive farmland …

With the development of highway information, according to the actual demand of highway
electromechanical equipment management, this paper designs a multi-protocol internet of …