|
21921 |
Utilization of adaptive neuro-fuzzy interference system and functional network in prediction of total organic carbon content
Enthalten in SN applied sciences Bd. 4, 11.12.2021, Nr. 1, date:1.2022: 1-14
|
|
|
|
21922 |
Utilization of preventive services in a systemic lupus erythematosus population-based cohort: a Lupus Midwest Network (LUMEN) study
Enthalten in Arthritis Research & Therapy Bd. 24, 1.9.2022, Nr. 1, date:12.2022: 1-13
|
|
|
|
21923 |
Utilization of the U-Net Convolutional Neural Network and Its Modifications for Segmentation of Tundra Lakes in Satellite Optical Images
Enthalten in Atmospheric and oceanic optics Bd. 37, 3.7.2024, Nr. 2, date:4.2024: 205-210
|
|
|
|
21924 |
Utilizing a deep neural network for robot semantic classification in indoor environments
Enthalten in Scientific reports Bd. 15, 1.7.2025, Nr. 1, date:12.2025: 1-14
|
|
|
|
21925 |
Utilizing a patient advocacy-led clinical network to engage diverse, community-based sites in implementation-effectiveness research
Enthalten in BMC health services research Bd. 24, 5.8.2024, Nr. 1, date:12.2024: 1-8
|
|
|
|
21926 |
Utilizing clinical pathways and web-based conferences to improve quality of care in a large integrated network using breast cancer radiation therapy as the model
Enthalten in Radiation oncology Bd. 13, 16.3.2018, Nr. 1, date:12.2018: 1-5
|
|
|
|
21927 |
Utilizing deep learning via the 3D U-net neural network for the delineation of brain stroke lesions in MRI image
Enthalten in Scientific reports Bd. 13, 13.11.2023, Nr. 1, date:12.2023: 1-7
|
|
|
|
21928 |
Utilizing network pharmacology to explore the underlying mechanism of Radix Salviae in diabetic retinopathy
Enthalten in Chinese medicine Bd. 14, 30.12.2019, Nr. 1, date:12.2019: 1-12
|
|
|
|
21929 |
Utilizing same WDM wavelengths for delivering both baseband and FSO signals in ring-type access network
Enthalten in Optical and quantum electronics Bd. 55, 8.4.2023, Nr. 6, date:6.2023: 1-15
|
|
|
|
21930 |
Utilizing soil–water characteristic curve parameters in custom artificial neural network models to predict the unsaturated hydraulic conductivity
Enthalten in Discover artificial intelligence Bd. 5, 16.7.2025, Nr. 1, date:12.2025: 1-15
|
|
Administration
