Evidence map›Paper›PMID 40218525›Full record

ArticleSensors (Basel, Switzerland)2025

Wildfire Early Warning System Based on a Smart CO

Alessio De Rango, Luca Furnari, Fabio Cortale, Alfonso Senatore, Giuseppe Mendicino

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Alessio De RangoDepartment of Environmental Engineering, University of Calabria, Rende, 87036 Cosenza, Italy.ORCID 0000-0002-7045-2702
Luca FurnariDepartment of Environmental Engineering, University of Calabria, Rende, 87036 Cosenza, Italy.ORCID 0000-0002-7360-0811
Fabio CortaleDepartment of Environmental Engineering, University of Calabria, Rende, 87036 Cosenza, Italy.
Alfonso SenatoreDepartment of Environmental Engineering, University of Calabria, Rende, 87036 Cosenza, Italy.ORCID 0000-0001-9716-3532
Giuseppe MendicinoDepartment of Environmental Engineering, University of Calabria, Rende, 87036 Cosenza, Italy.ORCID 0000-0003-0353-5206

Funding

Ministero dell'università e della ricerca ECS0000009Ministero dell'università e della ricerca H25F21001220006
6 · The paper itself

Abstract

Climate change exacerbates wildfire risks in regions like the Mediterranean, where rising temperatures and prolonged droughts create ideal fire conditions. Adapting to this scenario requires implementing advanced risk management strategies that leverage cutting-edge technologies. Wildfire early warning systems are crucial tools for detecting fires at an early stage, helping prevent potential future damage. This paper proposes a smart CO

Indexed as

AutoEncodersCO2 sensorsearly warning systemLSTMwildfire detectionwireless sensors network

Identifiers

PMID40218525
PMCPMC11991590

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.