Experimental investigation and AI-based prediction of engine performance and emissions using CeO

Ganesh K, D K Ramesha, Kapilan Natesan, Norkhairunnisa Mazlan, Sadashiva Prabhu S

Abstract read

In one paragraph

Article in Scientific reports, 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.

Ganesh KNITTE (Deemed to be University), Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru, Karnataka, 560064, India.

D K RameshaDepartment of Mechanical Engineering, University of Visvesvaraya College of Engineering, K R Circle, Bengaluru, Karnataka, 560001, India.

Kapilan NatesanNITTE (Deemed to be University), Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru, Karnataka, 560064, India.

Norkhairunnisa MazlanDepartment of Aerospace Engineering, Faculty of Engineering, Universiti Putra Malaysia (UPM), 43400, Serdang, Selangor, Malaysia.

Sadashiva Prabhu SDepartment of Mechanical and Industrial Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India. ss.prabhu@manipal.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global depletion of fossil fuel resources and growing environmental concerns have driven the pursuit of sustainable alternative energy sources, with biodiesel emerging as a promising option. In the present work, experimental and AI prediction studies examine the combustion, performance, and emissions of a B20-blended fuel engine. The biodiesel was derived from used temple oil, and CeO

Indexed as

BiodieselEngine testsNanoparticlesPredictionRandom forest regressor model

Identifiers

PMID41390856

DOI10.1038/s41598-025-28932-4

PMCPMC12705677

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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 OpenQuestion graph.