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1 |
Automating assist identification in football (soccer): a machine learning approach using event and tracking data
Klemmer, Maike. - Münster : FH Münster - University of Applied Sciences, 2026
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2 |
Machine learning-based short-term forecasting of COVID-19 hospital admissions using routine hospital patient data
Wohlfender, Martin S.. - Augsburg : Universität Augsburg, 2026
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3 |
Predicting hardness of graphene-added Si3N4 using machine learning
Qadir, Awais. - Freiberg : Technische Universität Bergakademie Freiberg, 2026
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4 |
Shuntless current measurement in sector-shaped power grid cables: A simulation and machine learning approach
Pogorzelski, Jens. - Münster : FH Münster - University of Applied Sciences, 2026
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5 |
Surgical workflow analysis for Surgomics and context-aware assistance in robot-assisted minimally invasive esophagectomy (RAMIE): a retrospective, single-arm, multicenter annotation and machine learning study
Brandenburg, Johanna. - Reutlingen : Hochschule Reutlingen, 2026
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6 |
Urinary microRNAs for the non-invasive diagnosis of endometriosis identified by next-generation sequencing and machine learning
Kupec, Tomas. - Aachen : Universitätsbibliothek der RWTH Aachen, 2026
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7 |
PipFHE: Resource-Efficient Privacy-Preserving Deep CNN Inference via Padded Batch Packing and Channel Merging over FHE
Enthalten in IACR transactions on cryptographic hardware and embedded systems Bd. 2026, 2026, Nr. 1
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8 |
WW-FL: Secure and Private Large-Scale Federated Learning
Enthalten in IACR transactions on cryptographic hardware and embedded systems Bd. 2026, 2026, Nr. 1
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9 |
Deep Learning and Radiomics for Gastric Cancer Lymph Node Metastasis: Automated Segmentation and Multi-Machine Learning Study from Two Centers
Enthalten in Oncology Bd. 104, 2026, Nr. 1: 63-78. 16 S.
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10 |
Machine learning predictions for regioselectivity of hydroformylation reactions: leveraging limited data for high-precision results
Enthalten in Pure and applied chemistry Bd. 98, 2026, Nr. 1: 61-74. 14 S.
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