Abstract Machine learning (ML) methods have received immense attention as potential
models for modeling different manufacturing systems. This paper presents a comprehensive …

In this paper, we delve into the evolving landscape of vibration-based structural damage
detection (SDD) methodologies, emphasizing the pivotal role civil structures play in society's …

The durability and simplicity of the programming of meta-heuristic algorithms make them
important in the optimization field. This paper presents a novel application for double cracks …

To address the issues of lacking ability, loss of population diversity, and tendency to fall into
the local extreme value in the later stage of optimization searching, resulting in slow …

The chimp optimization algorithm (ChOA) is a hunting-based model and can be utilized as a
set of optimization rules to tackle optimization problems. Although ChOA has shown …

In this paper, a new hybrid YUKI-ANN is implemented for Structural Health Monitoring (SHM)
of laminated composite plates. A finite element model is constructed and used to identify …

Meta-heuristic search algorithms (MHSs) are methods that take their inspiration from nature.
However, the fitness value information used in the design of the update mechanism in MHSs …

Currently, the renewable energy power generation industry has entered a new stage, and
accurate renewable energy power generation prediction is of great significance for the …

The surging demand for fiberglass pipe materials in the Oil and Gas transportation sectors
are driven by their exceptional durability and ease of use. This study combined improved …

As an essential part in electronics-rich system, the failure of analog circuits will severely
affect the system reliability and security. Incipient fault of analog circuit refers to the early …