|
15961 |
SNPs and blood inflammatory marker featured machine learning for predicting the efficacy of fluorouracil-based chemotherapy in colorectal cancer
Enthalten in Scientific reports Bd. 14, 12.11.2024, Nr. 1, date:12.2024: 1-14
|
|
|
|
15962 |
SO(8) supergravity and the magic of machine learning
Enthalten in Journal of high energy physics Bd. 2019, 9.8.2019, Nr. 8, date:8.2019: 1-57
|
|
|
|
15963 |
SOC estimation for a lithium-ion pouch cell using machine learning under different load profiles
Enthalten in Scientific reports Bd. 15, 24.5.2025, Nr. 1, date:12.2025: 1-15
|
|
|
|
15964 |
SOCIAL MEDIA DATA PROCESSING AND ANALYSIS BY MEANS OF MACHINE LEARNING FOR RAPID DETECTION, ASSESSMENT AND MAPPING THE IMPACT OF DISASTERS
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLIII-B3-2020, 2020: 1237-1241
|
|
|
|
15965 |
Social prediction: a new research paradigm based on machine learning
Enthalten in The Journal of Chinese Sociology Bd. 8, 1.9.2021, Nr. 1, date:12.2021: 1-21
|
|
|
|
15966 |
Socio-demographic predictors of not having private dental insurance coverage: machine-learning algorithms may help identify the disadvantaged
Enthalten in BMC public health Bd. 24, 23.5.2024, Nr. 1, date:12.2024: 1-11
|
|
|
|
15967 |
Socioeconomic and demographic factors associated with anaemia among women of reproductive age in Zimbabwe: a supervised machine learning approach
Enthalten in Discover public health Bd. 22, 7.4.2025, Nr. 1, date:12.2025: 1-17
|
|
|
|
15968 |
Socioexposomics of COVID-19 across New Jersey: a comparison of geostatistical and machine learning approaches
Enthalten in Journal of exposure science & environmental epidemiology Bd. 34, 1.2.2023, Nr. 2, date:3.2024: 197-207
|
|
|
|
15969 |
Soft computing techniques for predicting the properties of raw rice husk concrete bricks using regression-based machine learning approaches
Enthalten in Scientific reports Bd. 13, 4.9.2023, Nr. 1, date:12.2023: 1-21
|
|
|
|
15970 |
Soft Electronics for Health Monitoring Assisted by Machine Learning
Enthalten in Nano-Micro letters Bd. 15, 15.3.2023, Nr. 1, date:12.2023: 1-86
|
|
Administration
