Artificial intelligence (AI) and machine learning (ML) have attracted the interest of the
research community in recent years. ML has found applications in various areas, especially …

Purpose Ensemble methods have been widely used in the field of pattern recognition due to
the difficulty of finding a single classifier that performs well on a wide variety of problems …

Decision trees have been widely used as classifiers in many machine learning applications
thanks to their lightweight and interpretable decision process. This paper introduces Tree in …

Fault detection in photovoltaic systems is crucial for maintaining efficiency and longevity.
This paper proposes the logistic model tree algorithm for analysing current-voltage curves to …

Abstract Machine learning has become an integral part of everyday life ranging from
applications in AI-powered search queries to (partial) autonomous driving. Many of the …

Fingerprinting techniques have been widely used in the security field. However, due to the
complexity and heterogeneousness of the Industrial Control System (ICS) network, there is …

Ovarian cancer can be identified from microarray data using machine learning. Many studies
only focus on improving the machine learning classification algorithms to achieve higher …

Closed-loop approaches in systems neuroscience and therapeutic stimulation have the
potential to revolutionize our understanding of the brain and develop novel neuromodulation …

The objective of this paper is to propose a hybrid machine learning approach using a so-
called Cost-Complexity Pruning Decision Trees algorithm in predicting supply chain risks …

Programming is a core component of any university-level computer science course. When
learning to program, students' efforts can be hampered by a variety of misconceptions …