This research presents an innovative approach to energy management in smart homes,
aiming to efficiently regulate energy demands while ensuring customer loyalty. The focus is …

Challenges in the operation of power systems arise from several factors such as the
interconnection of large power systems, integration of new energy sources and the increase …

Breast cancer is still a major problem for medical research, science, and society. Breast
cancer is the most common form of cancer among women and has a high rate of mortality …

Gastric cancer (GC), an acknowledged malignant neoplasm, threatens life and digestive
system functionality if not detected and addressed promptly in its nascent stages. The …

Erosion is inevitable in pipeline gathering and transportation systems. Predicting erosion in
typical pipe fittings is pivotal to ensure the safety and efficiency of the equipment. This work …

Feature selection is to identify informative and concise sub-features from raw datasets,
which can be modelled as an optimization issue. An adaptive ranking moth-flame …

This paper introduces a novel meta-heuristic optimization algorithm named Clustering
Wavelet Opposition-based Marine Predators Algorithm (CWOMPA) to address some …

Currently, development of early and accurate breast cancer (BC) prediction models using
computer-aided tools has proven to be beneficial, which in turn low mortality rate related to …

Breast cancer is the most prevalent cause of mortality worldwide, with an estimated million
people dying from it every year. One suitable strategy to lower the death rate from breast …

In this research, we introduce a novel biologically-inspired optimization algorithm known as
Krill Herd (KH) to address feature selection challenges in cancer analysis. Inspired by the …