The Use of Artificial Neural Networks to Model Selected Strength Parameters of the Giant Miscanthus Stalk.

Sławomir Francik, Tomasz Hebda, Beata Brzychczyk, Renata Francik, Zbigniew Ślipek

Abstract read

In one paragraph

Article in Materials (Basel, Switzerland), 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.

Sławomir FrancikDepartment of Mechanical Engineering and Agrophysics, Faculty of Production and Power Engineering, University of Agriculture in Krakow, Al. Mickiewicza 21, 31-120 Kraków, Poland.ORCID 0000-0002-4535-9450

Tomasz HebdaDepartment of Mechanical Engineering and Agrophysics, Faculty of Production and Power Engineering, University of Agriculture in Krakow, Al. Mickiewicza 21, 31-120 Kraków, Poland.ORCID 0000-0002-9128-164X

Beata BrzychczykDepartment of Mechanical Engineering and Agrophysics, Faculty of Production and Power Engineering, University of Agriculture in Krakow, Al. Mickiewicza 21, 31-120 Kraków, Poland.ORCID 0000-0002-3873-1664

Renata FrancikThe Faculty of Medicine and Health Sciences, University of Applied Sciences in Nowy Sącz, Kościuszki 2G, 33-300 Nowy Sącz, Poland.ORCID 0000-0002-7071-8072

Zbigniew ŚlipekFaculty of Engineering Sciences, University of Applied Sciences in Nowy Sącz, Zamenhofa 1a, 33-300 Nowy Sącz, Poland.ORCID 0000-0002-3609-0680

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this work was to develop a model using Artificial Neural Networks (ANN) to predict stem cutting parameters for giant miscanthus. Experimental studies were conducted to determine biometric traits: maximum stem diameter (

Indexed as

ANN modelartificial intelligencebiomasscarbonaceous materialscutting forcecutting workmiscanthusstalkstem

Identifiers

PMID41900652

DOI10.3390/ma19061162

PMCPMC13028202

What Socratic holds

Textmetadata

LicenceCC BY

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Registered trials

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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 Socratic graph.