|
26591 |
The Application of Machine-Learning Technologies in the Design and Production of Composite-Material Structures
Enthalten in Polymer science / Series D / Glues and sealing materials Bd. 17, 16.3.2025, Nr. 4, date:12.2024: 928-933
|
|
|
|
26592 |
The Application of Machine Learning to Online Mindfulness Intervention Data: a Primer and Empirical Example in Compliance Assessment
Enthalten in Mindfulness Bd. 12, 27.8.2021, Nr. 10, date:10.2021: 2519-2534
|
|
|
|
26593 |
The application of time-to-event analysis in machine learning prognostic models
Enthalten in Journal of translational medicine Bd. 22, 12.2.2024, Nr. 1, date:12.2024: 1-2
|
|
|
|
26594 |
The applications of machine learning in plastic and reconstructive surgery: protocol of a systematic review
Enthalten in Systematic Reviews Bd. 9, 28.2.2020, Nr. 1, date:12.2020: 1-4
|
|
|
|
26595 |
The artificial intelligence and machine learning in lung cancer immunotherapy
Enthalten in Journal of hematology & oncology Bd. 16, 24.5.2023, Nr. 1, date:12.2023: 1-18
|
|
|
|
26596 |
The association of Coronavirus Disease-19 mortality and prior bacille Calmette-Guerin vaccination: a robust ecological analysis using unsupervised machine learning
Enthalten in Scientific reports Bd. 11, 12.1.2021, Nr. 1, date:12.2021: 1-9
|
|
|
|
26597 |
The association of lifestyle with cardiovascular and all-cause mortality based on machine learning: a prospective study from the NHANES
Enthalten in BMC public health Bd. 25, 24.1.2025, Nr. 1, date:12.2025: 1-10
|
|
|
|
26598 |
The atmospheric boundary layer: a review of current challenges and a new generation of machine learning techniques
Enthalten in Artificial intelligence review Bd. 57, 17.10.2024, Nr. 12, date:12.2024: 1-51
|
|
|
|
26599 |
The BCPM method: decoding breast cancer with machine learning
Enthalten in BMC medical imaging Bd. 24, 17.9.2024, Nr. 1, date:12.2024: 1-10
|
|
|
|
26600 |
The benefits and pitfalls of machine learning for biomarker discovery
Enthalten in Cell & tissue research Bd. 394, 27.7.2023, Nr. 1, date:10.2023: 17-31
|
|
Administration
