Automation Days 2025 - Presentation at Session S1-A: Energy systems, green transition

Presentation sharing some scientific insight on interpretable machine learning to automation professionals participating to The Automation Days 2025, Smart, safe and secure automation. FUELGAE project was presented as one case study, explaining about dealing with a prediction of biocrude yield with less complex, explainable models. https://www.automaatioseura.fi/automationdays2025/

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-25
DOI
https://doi.org/10.5281/zenodo.18182616
Primary Topic
Explainable Artificial Intelligence (XAI)
Type
article
Field-Weighted Citation Impact
0.00
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article

Automation Days 2025 - Presentation at Session S1-A: Energy systems, green transition

Markku Ohenoja
Zenodo (CERN European Organization for Nuclear Research)
Explainable Artificial Intelligence (XAI)
article

Automation Days 2025 - Presentation at Session S1-A: Energy systems, green transition

Markku Ohenoja
article en

Abstract

Presentation sharing some scientific insight on interpretable machine learning to automation professionals participating to The Automation Days 2025, Smart, safe and secure automation. FUELGAE project was presented as one case study, explaining about dealing with a prediction of biocrude yield with less complex, explainable models. https://www.automaatioseura.fi/automationdays2025/

Zenodo (CERN European Organization for Nuclear Research)
University of Oulu (FI)
Affordable and clean energy
Openalex Percentile: Top 17%
Explainable Artificial Intelligence (XAI)
DOIOpen Access PDFOpenAlex
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Automation Days 2025 - Presentation at Session S1-A: Energy systems, green transition — Markku Ohenoja · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS