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Machine Learning: Engineering

eISSN: 3049-4761
Publisher: IOP Publishing
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HistoryChemical Engineering(all)BioengineeringComputer Science(all)Artificial IntelligenceEngineering(all)Aerospace EngineeringAutomotive EngineeringBiomedical EngineeringCivil and Structural EngineeringControl and Systems EngineeringElectrical and Electronic EngineeringIndustrial and Manufacturing EngineeringMechanical EngineeringMechanics of MaterialsOcean EngineeringBuilding and Construction

Machine Learning: Engineering is a multidisciplinary open access journal dedicated to the application of machine learning (ML), artificial intelligence (AI) and data-driven computational methods across all areas of engineering. The journal also publishes research that presents methodological, theoretical, or conceptual advances in machine learning and AI with applications to engineering.

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Hybrid Journal

Go ahead and submit. Remember to select a CC BY licence to ensure compliance.

Transformative Agreement

Select the open access publishing option with a https://creativecommons.org/licenses/by/2.0/ license to ensure compliance.

Transformative Journal

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Full Open Access

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Self-Archiving

Following acceptance, please deposit your author accepted manuscript in a repository without embargo.

Self-Archiving using Rights Retention

Your funder’s grant conditions set out how you can retain sufficient rights to self-archive the Author Accepted Manuscript in any OA repository. Publishing fees do not apply with this route.

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Machine Learning: Health

eISSN: 3049-477X
Publisher: IOP Publishing
Visit Publisher homepageVisit journal homepageView author guidelinesView aims and scope
Biochemistry, Genetics and Molecular Biology (miscellaneous)BioengineeringComputer Science(all)Artificial IntelligenceBiomedical EngineeringMedicine(all)Biochemistry, medicalGenetics(clinical)Health InformaticsHealth Policy

Machine Learning: Health is a multidisciplinary open access journal dedicated to the application of machine learning, artificial intelligence (AI) and data-driven computational methods across healthcare and the medical, biological, clinical, and health sciences. The journal also publishes research that presents methodological, theoretical, or conceptual advances in machine learning and AI with applications to medicine and health sciences.

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Compliant Options - Provided by Journal Checker Tool

Hybrid Journal

Go ahead and submit. Remember to select a CC BY licence to ensure compliance.

Transformative Agreement

Select the open access publishing option with a https://creativecommons.org/licenses/by/2.0/ license to ensure compliance.

Transformative Journal

Select the open access publishing option with a CC BY license to ensure compliance.

Full Open Access

Go ahead and submit. Remember to select a CC BY license to ensure compliance.

Self-Archiving

Following acceptance, please deposit your author accepted manuscript in a repository without embargo.

Self-Archiving using Rights Retention

Your funder’s grant conditions set out how you can retain sufficient rights to self-archive the Author Accepted Manuscript in any OA repository. Publishing fees do not apply with this route.

Unfortunately, this journal has no Plan-S compliant options - Provided by Journal Checker Tool

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Magnetic Resonance Imaging

ISSN: 0730-725X
SIGAPS Level C
Publisher: Elsevier
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BiophysicsBiomedical EngineeringRadiology Nuclear Medicine and imaging
Magnetic Resonance Imaging (MRI) is the first international multidisciplinary journal encompassing physical, life, and clinical science investigations as they relate to the development and use of magnetic resonance imaging. MRI is dedicated to both basic research and medical applications, providing a single forum for communication among radiologists, physicists, chemists, biochemists, biologists, engineers, internists, pathologists, physiologists, computer scientists, and mathematicians.

Benefits to authors
We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our http://www.elsevier.com/wps/find/authorsview.authors/authorservicesauthor services.

Please see our http://www.elsevier.com/wps/find/journaldescription.cws_home/525478/authorinstructionsGuide for Authors for information on article submission. If you require any further information or help, please visit our support pages: http://support.elsevier.com

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Compliant Options - Provided by Journal Checker Tool

Hybrid Journal

Go ahead and submit. Remember to select a CC BY licence to ensure compliance.

Transformative Agreement

Select the open access publishing option with a https://creativecommons.org/licenses/by/2.0/ license to ensure compliance.

Transformative Journal

Select the open access publishing option with a CC BY license to ensure compliance.

Full Open Access

Go ahead and submit. Remember to select a CC BY license to ensure compliance.

Self-Archiving

Following acceptance, please deposit your author accepted manuscript in a repository without embargo.

Self-Archiving using Rights Retention

Your funder’s grant conditions set out how you can retain sufficient rights to self-archive the Author Accepted Manuscript in any OA repository. Publishing fees do not apply with this route.

Unfortunately, this journal has no Plan-S compliant options - Provided by Journal Checker Tool

Institutional Agreement

Tous les auteurs correspondants des Hospices Civils de Lyon ont la possibilité de publier leurs articles de recherches en Open Access dans cette revue. Pour bénéficier de cette prise en charge, déclarez les "Hospices Civils de Lyon" dans votre affiliation principale et utilisez votre adresse mail "@chu-lyon.fr" lors de la soumission de votre article.

ATTENTION:

  • Si l'éditeur vous demande de sélectionner la licence applicable, privilégiez la licence CC-BY à toutes autres.
  • Pour les revues non éligibles, dont The Lancet et les revues Cell Press, ou en cas d’épuisement du stock de droits, la publication en accès ouvert immédiat devient payante mais de manière optionnelle ; le tarif bénéficie dans ce cas d’une remise de 10%.
  • Les articles publiés en accès ouvert immédiat au titre de l’accord peuvent être déposés dans leur version finale éditeur dans une archive ouverte, par exemple dans HAL-HCL.
  • Dans le cas des articles sous abonnement, il est permis par la Loi République numérique de déposer dans une archive ouverte le manuscrit auteur accepté d’un article et de le diffuser avec un embargo de 6 mois (sciences dures) ou 12 mois (SHS).

Si vous rencontrez des difficultés ou si vous avez des questions, contactez la Documentation Centrale sur sa.documentationcentrale@chu-lyon.fr ou au 04-72-11-29-99 (31-29-99)