|
26661 |
The prediction of part thickness using machine learning in aluminum hot stamping process with partition temperature control
Enthalten in The international journal of advanced manufacturing technology Bd. 119, 10.1.2022, Nr. 5-6, date:3.2022: 3891-3902
|
|
|
|
26662 |
The prediction of sagittal chin point relapse following two-jaw surgery using machine learning
Enthalten in Scientific reports Bd. 13, 9.10.2023, Nr. 1, date:12.2023: 1-10
|
|
|
|
26663 |
The prediction of semen quality based on lifestyle behaviours by the machine learning based models
Enthalten in Reproductive biology and endocrinology Bd. 22, 29.8.2024, Nr. 1, date:12.2024: 1-6
|
|
|
|
26664 |
The Prediction of the Dst-Index Based on Machine Learning Methods
Enthalten in Cosmic research Bd. 56, 3.12.2018, Nr. 6, date:11.2018: 434-441
|
|
|
|
26665 |
The prediction of topologically partitioned intra-atomic and inter-atomic energies by the machine learning method kriging
Enthalten in Theoretical chemistry accounts Bd. 135, 27.7.2016, Nr. 8, date:8.2016: 1-19
|
|
|
|
26666 |
The predictive accuracy of machine learning for the risk of death in HIV patients: a systematic review and meta-analysis
Enthalten in BMC infectious diseases Bd. 24, 6.5.2024, Nr. 1, date:12.2024: 1-17
|
|
|
|
26667 |
The predictive power of data: machine learning analysis for Covid-19 mortality based on personal, clinical, preclinical, and laboratory variables in a case–control study
Enthalten in BMC infectious diseases Bd. 24, 18.4.2024, Nr. 1, date:12.2024: 1-18
|
|
|
|
26668 |
The predictive reframing of machine learning applications: good predictions and bad measurements
Enthalten in European journal for philosophy of science Bd. 12, 26.8.2022, Nr. 3, date:9.2022: 1-21
|
|
|
|
26669 |
The predictive value of machine learning for mortality risk in patients with acute coronary syndromes: a systematic review and meta-analysis
Enthalten in European journal of medical research Bd. 28, 20.10.2023, Nr. 1, date:12.2023: 1-13
|
|
|
|
26670 |
The Promise of Artificial Intelligence and Machine Learning in Geriatric Anesthesiology Education: An Idea Whose Time Has Come
Enthalten in Current anesthesiology reports Bd. 15, 6.1.2025, Nr. 1, date:12.2025: 1-10
|
|
Administration
