Work

Artificial Intelligence-Driven Unmanned Aerial Vehicle Base Station Placement: Current Advances, Challenges, and Use Case

Year: 2024

Type: conference-paper

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

DOI: 10.1109/fmec62297.2024.10710265

Authors: Sharief Abdel-Razeq, Ayat Al-Khdouer, Haythem Bany Salameh, Yaser Jararweh, Ghaleb Elrefae

Institutions: Yarmouk University, Jordan University of Science and Technology, Al Ain University

Language: English

Topic: UAV Applications and Optimization

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4403391290

FWCI: 1.706

Cites: 18

Cited by: 2

Related to: 10