Work

Harnessing Temporal Information for Efficient Edge AI

Year: 2024

Type: conference-paper

Source: International Conference on Fog and Mobile Edge Computing (FMEC)

DOI: 10.1109/fmec62297.2024.10710223

Authors: Max Sponner, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar

Institutions: Technical University of Munich, Infineon Technologies (Germany), Ruhr University Bochum

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: Ministry of Education

OpenAlex ID: W4403391173

FWCI: 0.421

Cites: 23

Cited by: 2

Related to: 10