The metaverse is an upcoming computing paradigm aiming towards blending reality
seamlessly with the artificially generated 3D worlds of deep cyberspace. This giant …

In this era, feature clustering is a prominent technique in data mining. Feature clustering has
also huge applications in biomedical research for multiple purposes including grouping …

The most significant groupings of cold‐blooded creatures are the fish family. It is crucial to
recognize and categorize the most significant species of fish since various species of …

Background/Objectives: Artificial Intelligence (AI) in healthcare employs advanced
algorithms to analyze complex and large-scale datasets, mimicking aspects of human …

Breast cancer has emerged as the most life-threatening disease among women around the
world. Early detection and treatment of breast cancer are thought to reduce the need for …

Human action intent recognition has become increasingly dependent on computational
accuracy, real-time responsiveness, and model lightness. Model selection, data filtering, and …

Sensor-based human action recognition (HAR) is considered to have broad practical
prospects. It applies to wearable devices to collect plantar pressure or acceleration …

With the development of data science, the challenge of high-dimensional data has become
increasingly prevalent. High-dimensional data contains a significant amount of redundant …

Access to reliable electricity is crucial for rural development and improving the quality of life
in remote areas. Standalone photovoltaic PV systems and hybrid power systems HPS are …

Feature Selection (FS) is essential in the Internet of Things (IoT)-based Clinical Decision
Support Systems (CDSS) to improve the accuracy and efficiency of the system. With the …