Recent years have seen a dramatic rise in the popularity of autonomous mobile robots
(AMRs) due to their practicality and potential uses in the modern world. Path planning is …

In recent years, the optimization community has witnessed a surge in the popularity of
population-based optimization methods. However, many of these methods suffer from …

For breast cancer diagnosis, computer-aided classification of histopathological images is of
critical importance for correct and early diagnosis. Transfer learning approaches for feature …

This study aims to use a machine learning (ML)-based enhanced diagnosis and survival
model to predict heart disease and survival in heart failure by combining the cuckoo search …

Pruning branches of apple trees is a labor-intensive task. Pruning robots can save
manpower and reduce costs. A full map of the apple orchard with collision-free paths, which …

Path planning is a crucial concern in the field of mobile robotics, particularly in complex
scenarios featuring narrow passages. Sampling-based planners, such as the widely utilized …

The objective in optimal control problems is to determine the control rule to be applied
according to the objective function determined for a given system. Theoretically, different …

There are three key points in logistics distribution: the distribution vehicle, the amount of
goods, and the distribution path. Comprehensive calculation and optimization of these three …

Purpose This paper aims to bring in augmented reality (AR) into navigation systems to rectify
the issues mentioned. This paper proposes an AR enhanced navigation system for location …

This study introduces an enhanced algorithm for global path planning of Differential
Wheeled Mobile Robots (DWMRs) that merges the Whale Optimization Algorithm (WOA) …