Abstract Background Epilepsy is a common neurological disorder characterized by recurrent electrophysiological activities, known as seizures.Without the appropriate detection strategies, these seizure episodes can dramatically affect the quality of life for those afflicted.The rationale of this study is to develop an unsupervised algorithm for the
Background.Dawkinsia tambraparniei (Silas, 1954) is confined to an area not exceeding 100 km2 within a single watershed—the Tamiraparani River, southern Western Ghats, India.Its populations have recently declined, earning the fish the endangered status.For effective conservation efforts it is important to determine the levels of genetic v
The scale of botnet attacks is on the rise, yet traditional network security systems are inadequate to effectively respond to these threats, primarily due to high false positive rates and the extensive manpower required for analysis.In contrast, the cutting-edge method of intrusion detection, known as provenance-based analysis, offers a novel parad