Evidence map›Paper›PMID 41617875›Full record

ArticleScientific reports2026

Computational intelligence applications in predicting energy consumption, greenhouse gas emissions, and drying performance of hybrid infrared dryer.

Hany S El-Mesery, Ahmed H ElMesiry, Mansuur Husein, Fangfang Liu, Amer Ali Mahdi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 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

5 authors.

Hany S El-MeserySchool of Energy and Power Engineering, Jiangsu University, Zhenjiang, 212013, China. elmesiry@ujs.edu.cn.
Ahmed H ElMesiryFaculty of Computer Science and Engineering, New Mansoura University, New Mansoura, 35742, Egypt.
Mansuur HuseinDepartment of Water and Environmental Engineering, Faculty of Engineering, E/R, Tamale Technical University, P.O. Box 3 E/R, Tamale, Ghana.
Fangfang LiuSchool of Mechanical and Electrical Engineering, Suqian University, Suqian, 223800, China.
Amer Ali MahdiDepartment of Food Science and Nutrition, Faculty of Agriculture, Food, and Environment, Sana'a University, Sana'a, Yemen. amer.alimahdi@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Efficient dehydration of heat-sensitive crops remains a major challenge due to the trade-off between drying time, energy demand, and product quality. This study investigated the hybrid infrared-hot air drying of Moringa oleifera leaves in a continuous conveyor-belt dryer, focusing on the joint effects of air temperature (35-55 °C), airflow velocity (0.3-1.0 m/s), and infrared intensity (0.08-0.15 W/cm

Indexed as

CO₂ emissionsEnergyHybrid dryerInfrared heatingModellingThermal efficiency

Identifiers

PMID41617875
PMCPMC12913769

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.