(1) Background: Transfer learning refers to machine learning techniques that focus on
acquiring knowledge from related tasks to improve generalization in the tasks of interest. In …

The optimization field suffers from the metaphor-based “pseudo-novel” or “fancy” optimizers.
Most of these cliché methods mimic animals' searching trends and possess a small …

A recent set of overused population-based methods have been published in recent years.
Despite their popularity, most of them have uncertain, immature performance, partially done …

Breast cancer (BC) is one of the primary causes of cancer death among women. Early
detection of BC allows patients to receive appropriate treatment, thus increasing the …

The occurrence of apple diseases has dramatically affected the quality and yield of apples.
Disease monitoring is an important measure to ensure the healthy development of the apple …

Stochastic optimization has been found in many applications, especially for several local
optima problems, because of their ability to explore and exploit various zones of the feature …

An improved grasshopper optimization algorithm (GOA) is proposed in this paper, termed as
SGOA, which combines simulated annealing (SA) mechanism with the original GOA that is a …

For the poor model generalization and low diagnostic efficiency of fault diagnosis under
imbalanced distributions, a novel fault diagnosis method using variational autoencoder …

Estimating the photovoltaic model's unknown parameters efficiently and accurately can
determine the solar cell's efficacy in converting the solar energy into electricity. For this …

Breast cancer is one of the most dangerous diseases for women's health, and it is imperative
to provide the necessary diagnostic assistance for it. The medical image processing …