Work

CroMA: Enhancing Fault-Resilience of Machine Learning-Coupled IoT Applications

Year: 2024

Type: conference-paper

Source: IEEE/ACM Symposium on Edge Computing (SEC)

DOI: 10.1109/sec62691.2024.00013

Authors: Yousef AlShehri, Lakshmish Ramaswamy

Institution: University of Georgia

Language: English

Topic: Fault Detection and Control Systems

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Science Foundation, U.S. Department of Agriculture, National Institute of Food and Agriculture

OpenAlex ID: W4405974464

FWCI: 0.686

Cites: 27

Cited by: 1

Related to: 10