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Machine learning mesh-adaptation for laminar and turbulent flows: applications to high-order discontinuous Galerkin solvers

• Authors : Tlales, Kenza; Otmani, Kheir-Eddine; Ntoukas, Gerasimos ...

• Source: Engineering with Computers ; ISSN 0177-0667 1435-5663

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UAV-Aided Decentralized Learning over Mesh Networks

• Authors : Zecchin, Matteo; Gesbert, David; Kountouris, Marios ...

Subjects: Decentralized learning unmanned aerial vehicles machine learning mesh networks; Decentralized learning; unmanned aerial vehiclesSerbiaBelgrade, Serbia

• Source: EUSIPCO 2022, 30th European Signal Processing Conference ; https://hal.science/hal-04144006 ; EUSIPCO 2022, 30th European Signal Processing Conference, EURASIP, Aug 2022, Belgrade, Serbia

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ITN—VIROINF: Understanding (Harmful) Virus-Host Interactions by Linking Virology and Bioinformatics

• Authors : Goettsch, Winfried; Beerenwinkel, Niko; Deng, Li

Subjects: Humans; Machine Learning; Virus Physiological Phenomena

• Source: Viruses, 13(5):766

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Advanced machine learning for predicting individual risk of flares in rheumatoid arthritis patients tapering biologic drugs

• Authors : Vodencarevic, Asmir; Tascilar, Koray; Hartmann, Fabian

Subjects: Biological Products/therapeutic use [MeSH]; Machine learning; Antirheumatic Agents/therapeutic use [MeSH]

• Source: http://lobid.org/resources/99370691437606441#!, 23(1):67.

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Prediction of oral squamous cell carcinoma based on machine learning of breath samples: a prospective controlled study

• Authors : Mentel, Sophia; Gallo, Kathleen; Wagendorf, Oliver

Subjects: Volatile organic compounds; Gas chromatography–ion mass spectrometry; Machine learning

• Source: http://lobid.org/resources/99370673925706441#!, 21(1):500.

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Hidden Patterns of Anti-HLA Class I Alloreactivity Revealed Through Machine Learning

• Authors : Vittoraki, Angeliki G.; Fylaktou, Asimina; Tarassi, Katerina

Subjects: Isoantibodies/blood [MeSH]; Aged [MeSH]; translational research

• Source: Frontiers in immunology, 12:670956

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Data analysis with Shapley values for automatic subject selection in Alzheimer’s disease data sets using interpretable machine learning

• Authors : Bloch, Louise; Friedrich, Christoph M.

Subjects: Artificial Intelligence in Dementia Research; Australia [MeSH]; Machine learning

• Source: http://lobid.org/resources/99370676534206441#!, 13(1):155.

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Machine learning identifies ICU outcome predictors in a multicenter COVID-19 cohort

• Authors : Magunia, Harry; Lederer, Simone; Verbuecheln, Raphael

Subjects: COVID-19; Critical care; Female [MeSH]

• Source: http://lobid.org/resources/99370670818906441#!, 25(1):295.

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Machine learning predicts mortality based on analysis of ventilation parameters of critically ill patients: multi-centre validation

• Authors : Mamandipoor, Behrooz; Frutos-Vivar, Fernando; Peñuelas, Oscar

Subjects: Machine learning; Adult [MeSH]; Humans [MeSH]

• Source: http://lobid.org/resources/99370673400706441#!, 21(1):152.

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Potential of high dimensional radiomic features to assess blood components in intraaortic vessels in non-contrast CT scans

• Authors : Mahmoudi, Scherwin; Martin, Simon S.; Ackermann, Jörg

Subjects: Blood; Female [MeSH]; Aorta/diagnostic imaging [MeSH]

• Source: http://lobid.org/resources/99370673924706441#!, 21(1):123.

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