Work

Autoencoders for Embedded Sensor Data Compression: A Case Study on Vehicular IoT Systems

Year: 2025

Type: conference-paper

Source: IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)

DOI: 10.1109/etfa65518.2025.11205629

Authors: Matheus Andrade, Miguel Amaral, Morsinaldo Medeiros, Marianne Silva, Ivanovitch Silva, Massimiliano Gaffurini, Dennis Brandão, Paolo Ferrari

Institutions: Universidade Federal do Rio Grande do Norte, University of Brescia

Language: English

Topic: IoT and Edge/Fog Computing

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4415400242

FWCI: 1.331

Cites: 20

Cited by: 1

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