Wildfire detection and suppression using multiple UAVs based on improved ant colony algorithm

Rui Chen et al.

International Journal of Applied Decision Sciences2025https://doi.org/10.1504/ijads.2026.10070655article
AJG 1
Weight
0.50

What the paper says

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1504/ijads.2026.10070655

Or copy a formatted citation

@article{rui2025,
  title        = {{Wildfire detection and suppression using multiple UAVs based on improved ant colony algorithm}},
  author       = {Rui Chen et al.},
  journal      = {International Journal of Applied Decision Sciences},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1504/ijads.2026.10070655},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Wildfire detection and suppression using multiple UAVs based on improved ant colony algorithm

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.