Sustainable collaboration: Federated learning for environmentally conscious forest fire classification in Green Internet of Things (IoT)-Reference-Cited by-同舟云学术

Sustainable collaboration: Federated learning for environmentally conscious forest fire classification in Green Internet of Things (IoT)

Published:2024-04 Issue: Volume:25 Page:101013
ISSN:2542-6605
Container-title:Internet of Things
language:en
Short-container-title:Internet of Things

Author:

Siddique Ali Akbar,Alasbali Nada^ORCID,Driss Maha^ORCID,Boulila Wadii,Alshehri Mohammed S.,Ahmad Jawad^ORCID

Funder

Prince Sultan University

Deanship of Scientific Research, King Khalid University

King Khalid University

Publisher

Elsevier BV

Subject

Management of Technology and Innovation,Artificial Intelligence,Computer Science Applications,Hardware and Architecture,Engineering (miscellaneous),Information Systems,Computer Science (miscellaneous),Software

Reference43 articles.

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5. Fire and climate change: conserving seasonally dry forests is still possible;Stephens;Front. Ecol. Environ.,2020

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1. Towards sustainable industry 4.0: A survey on greening IoE in 6G networks;Ad Hoc Networks;2024-12

2. Towards early forest fire detection and prevention using AI-powered drones and the IoT;Internet of Things;2024-10

3. Forest Wildfire Risk Assessment of Anning River Valley in Sichuan Province Based on Driving Factors with Multi-Source Data;Forests;2024-08-29

4. UAVs-FFDB: A high-resolution dataset for advancing forest fire detection and monitoring using unmanned aerial vehicles (UAVs);Data in Brief;2024-08

5. A Federated Learning Framework Based on Spatio-Temporal Agnostic Subsampling (STAS) for Forest Fire Prediction;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02