Work

Unsupervised Anomaly Detection in IoMT Based on Clustering and Online Learning

Year: 2024

Type: conference-paper

Source: IEEE International Conference on E-health Networking, Application & Services (HealthCom)

DOI: 10.1109/healthcom60970.2024.10880810

Authors: Philippe Ea, Quôc Vo, Osman Salem, Ahmed Mehaoua

Institutions: Université Paris Cité, Centre Borelli

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4407693841

FWCI: 0.633

Cites: 10

Cited by: 2

Related to: 10