Swarm intelligence (SI) algorithms represent a class of Artificial Intelligence (AI) optimization
metaheuristics used for solving complex optimization problems. However, a key challenge in …

In ophthalmic diagnostics, achieving precise segmentation of retinal blood vessels is a
critical yet challenging task, primarily due to the complex nature of retinal images. The …

This study presents the Hybrid COASaDE Optimizer, a novel combination of the Crayfish
Optimization Algorithm (COA) and Self-adaptive Differential Evolution (SaDE), designed to …

In recent years, unmanned aerial vehicles (UAVs) have been broadly employed as a data
collection platform to assist in efficiently collecting data from IoT devices. However, the …

The significant wave height prediction holds critical value for marine energy development,
coastal infrastructure planning, and ensuring safety in maritime operations. The precision of …

Complex and nonlinear optimization challenges pose significant difficulties for traditional
optimizers, which often struggle to consistently locate the global optimum within intricate …

Robot path planning is a critical challenge in robotics, demanding efficient navigation and
effective obstacle avoidance in complex environments. This research investigates the …

Borehole hydraulic fracturing in coal seams can prevent dynamic coal mine disasters and
promote the sustainability of the mining industry, and microseismic signal recognition is a …

In this paper, we introduce a novel optimization algorithm called the OX optimizer, inspired
by oxen animals, which are characterized by their great strength. The OX optimizer is …

Optimization of land management and agricultural practices require precise classification of
soil properties. This study presents a method to fine-tune deep neural network (DNN) …