Context Ensemble methods consist of combining more than one single technique to solve
the same task. This approach was designed to overcome the weaknesses of single …

Breast cancer is the most common cause of death for women worldwide. Thus, the ability of
artificial intelligence systems to detect possible breast cancer is very important. In this paper …

This paper proposes an ensemble Random Subspace (RS) classifier for discrimination of
High Impedance Fault (HIF) in photovoltaic connected power network. The design and …

Face mask detection has several applications including real-time surveillance, biometrics,
etc. Face mask detection is also useful for surveillance of the public to ensure face mask …

In response to the problem of difficult recognition of overlapping sounds in previous broiler
health monitoring studies, in this paper, the author proposed a recognition method of broiler …

This paper explores the use of ensemble classification methods in the context of the
diabetes disease. An analysis was carried out that formulates and answers seven research …

The problem of backfilling pipeline invalidation has become a bottleneck restricting the
application and development of backfilling technology. This study applied the whale …

Fatty acid binding proteins (FABPs) are small intracellular proteins that reversibly bind fatty
acids and other hydrophobic ligands. In cestodes, due to their inability to synthesise fatty …

Malaria is among the leading causes of death worldwide. The emergence of Plasmodium
falciparum resistant strains with reduced sensitivity to the first line combination therapy and …

This study proposes SVM based Random Subspace (RS) ensemble classifier to
discriminate different Power Quality Events (PQEs) in a photovoltaic (PV) connected …