Work

Optimizing Saas For Data-Driven IoT Applications In Smart Factory Communication

Year: 2025

Type: conference-paper

Source: IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)

DOI: 10.1109/civemsa65862.2025.11084831

Authors: Farhad Ali, Shah Nazir, Habib Ullah Khan, Mohammad Kamel Bader Alomari

Institutions: Qatar University, University of Swabi

Language: English

Topic: Cloud Computing and Resource Management

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4412713360

FWCI:

Cites: 35

Cited by:

Related to: 10