Work

Smart Anomaly Detection Using Data-Driven Techniques in IoT Edge: A Survey

Year: 2022

Type: book-chapter

Source: Lecture notes in electrical engineering

DOI: 10.1007/978-981-16-8862-1_45

Authors: J. Manokaran, G. Vairavel

Institution: SRM Institute of Science and Technology

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4226115281

FWCI: 3.858

Cites: 44

Cited by: 13

Related to: 10