Most animal species on Earth are insects, and recent reports suggest that their abundance is
in drastic decline. Although these reports come from a wide range of insect taxa and regions …

Understanding how biological communities respond to environmental changes is a key
challenge in ecology and ecosystem management. The apparent decline of insect …

In this paper, we present an adaptation of Newton's method for the optimization of Subspace
Support Vector Data Description (S-SVDD). The objective of S-SVDD is to map the original …

Myocardial infarction (MI) is the leading cause of mortaZity and morbidity in the world. Early
therapeutics of MI can ensure the prevention of further myocardial necrosis …

In this paper, we propose a novel subspace learning framework for one-class classification.
The proposed framework presents the problem in the form of graph embedding. It includes …

Controller Area Network bus systems within ve-hicular networks are not equipped with the
tools necessary to ward off and protect themselves from modern cyber-security threats. Work …

The study of macroinvertebrates using computer vision is in its infancy and still faces
multiple challenges including destructive sampling, low signal-to-noise ratios, and the …

One-class classification refers to approaches of learning using data from a single class only.
In this paper, we propose a deep learning one-class classification method suitable for …

Detecting malware is crucial for ensuring the security of computer systems. Traditional
machine learning models face challenges in effectively detecting malware, mainly due to the …

Early detection of myocardial infarction (MI), a critical condition arising from coronary artery
disease (CAD), is vital to prevent further myocardial damage. This study introduces a novel …