Evidence map›Paper›PMID 40933727›Full record

ArticleAtmospheric research2026

Enhancing 5-Day Particulate Matter (PM10) Forecasts in Morocco Using U-Net: A Deep Learning Approach.

Anass Houdou, Kenza Khomsi, Luca Delle Monache, Weiming Hu, Saber Boutayeb, Lahcen Belyamani, Fayez Abdulla, Imad El Badisy, Wael K Al-Delaimy, Mohamed Khalis

Abstract read
In one paragraph

Article in Atmospheric research, 2026. 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

10 authors.

Anass HoudouMohammed VI International School of Public Health, Mohammed VI University of Sciences and Health, Casablanca, Morocco.ORCID 0009-0006-0682-4600
Kenza KhomsiMohammed VI University of Sciences and Health, Casablanca, Morocco.
Luca Delle MonacheCenter for Western Weather and Water Extremes, Scripps Institution of Oceanography, University of California San Diego, San Diego, USA.
Weiming HuDepartment of Geography, University of Georgia, USA.
Saber BoutayebDepartment of Public Health and Clinical Research, Mohammed VI Center for Research and Innovation, Rabat, Morocco.
Lahcen BelyamaniDepartment of Public Health and Clinical Research, Mohammed VI Center for Research and Innovation, Rabat, Morocco.
Fayez AbdullaCivil Engineering Department, Jordan University of Science and Technology, Irbid 22120, Jordan.
Imad El BadisyDepartment of Public Health and Clinical Research, Mohammed VI Center for Research and Innovation, Rabat, Morocco.
Wael K Al-DelaimySchool of Public Health, University of California San Diego, La Jolla, CA 92093-0628, San Diego, USA.
Mohamed KhalisMohammed VI International School of Public Health, Mohammed VI University of Sciences and Health, Casablanca, Morocco.

Funding

2/2 GeoHealth Hub on Environmental Exposure and Health in the Arab Region-U.SU2RTW012228 · FIC · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WAEL K AL-DELAIMY · 2022 to 2026
$1.7M
The GeoHealth Hub on Environmental Exposure and Health in the Arab regionU01TW012237 · FIC · JORDAN UNIVERSITY/SCIENCE & TECHNOLOGY · PI WAEL K AL-DELAIMY, Fayez Ahmad Abdulla · 2022 to 2026
$1.4M
FIC NIH HHS U01 TW012237FIC NIH HHS U2R TW012228
6 · The paper itself

Abstract

Accurately predicting particulate matter is crucial for preventing health risks and protecting public health. This study improves the accuracy of particulate matter

Indexed as

Deep LearningForecastingMoroccoParticulate matter d ≤ 10 μm (PM10)

Identifiers

PMID40933727
PMCPMC12419473

What OpenQuestion holds

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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.