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25551 |
Predicting early postoperative PONV using multiple machine-learning- and deep-learning-algorithms
Enthalten in BMC medical research methodology Bd. 23, 31.5.2023, Nr. 1, date:12.2023: 1-9
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25552 |
Predicting Early recurrence of atrial fibrilation post-catheter ablation using machine learning techniques
Enthalten in BMC cardiovascular disorders Bd. 24, 19.12.2024, Nr. 1, date:12.2024: 1-11
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25553 |
Predicting earnings per share using feature-engineered extreme gradient boosting models and constructing alpha trading strategies
Enthalten in International journal of information technology Bd. 15, 9.10.2023, Nr. 8, date:12.2023: 3999-4012
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25554 |
Predicting edge cracking in sheet metal forming: evaluating machine learning models and data transformations
Enthalten in The international journal of advanced manufacturing technology Bd. 138, 19.5.2025, Nr. 7-8, date:6.2025: 3089-3107
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25555 |
Predicting Effective Thermal Conductivity of Sintered Silver by Microstructural-Simulation-Based Machine Learning
Enthalten in Journal of electronic materials Bd. 52, 19.1.2023, Nr. 4, date:4.2023: 2347-2358
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25556 |
Predicting elastic and plastic properties of small iron polycrystals by machine learning
Enthalten in Scientific reports Bd. 13, 26.8.2023, Nr. 1, date:12.2023: 1-19
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25557 |
Predicting element concentrations by machine learning models in neutron activation analysis
Enthalten in Journal of radioanalytical and nuclear chemistry Bd. 333, 7.3.2024, Nr. 4, date:4.2024: 1759-1768
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25558 |
Predicting emergency department admissions using a machine-learning algorithm: a proof of concept with retrospective study
Enthalten in BMC emergency medicine Bd. 25, 6.1.2025, Nr. 1, date:12.2025: 1-11
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25559 |
Predicting Energy Dissipation in QCA-Based Layered-T Gates Under Cell Defects and Polarisation: A Study with Machine-Learning Models
Enthalten in Journal of electronic testing Bd. 40, 21.8.2024, Nr. 4, date:8.2024: 435-455
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25560 |
Predicting environmentally responsive transgenerational differential DNA methylated regions (epimutations) in the genome using a hybrid deep-machine learning approach
Enthalten in BMC bioinformatics Bd. 22, 30.11.2021, Nr. 1, date:12.2021: 1-25
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