A Cooperative Multi-Agent System for Crowd Sensing Based Estimation in Smart Cities-Reference-Cited by-同舟云学术

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A Cooperative Multi-Agent System for Crowd Sensing Based Estimation in Smart Cities

Published:2020 Issue: Volume:8 Page:183051-183070
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Guastella Davide Andrea^ORCID,Camps Valerie^ORCID,Gleizes Marie-Pierre

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09214399.pdf?arnumber=9214399

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Estimation d’informations environnementales avec le système HybridIoT : un cas d’étude sur la ville de Toulouse;Revue Ouverte d'Intelligence Artificielle;2024-06-17

2. Design of Artificial Intelligence Driven Crowd Density Analysis for Sustainable Smart Cities;IEEE Access;2024

3. Traffic Simulation with Incomplete Data: the Case of Brussels;Proceedings of the 1st ACM SIGSPATIAL International Workshop on Methods for Enriched Mobility Data: Emerging issues and Ethical perspectives 2023;2023-11-13

4. Cooperative Multi-Agent Traffic Monitoring Can Reduce Camera Surveillance;IEEE Access;2023

5. On the Integration of User Preferences by Using a Hybrid Methodology for Multi-Criteria Decision Making;IEEE Access;2023

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