|
6301 |
PREDICTION OF POLLUTANT CONCENTRATIONS BY METEOROLOGICAL DATA USING MACHINE LEARNING ALGORITHMS
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLIV-4/W3-2020, 2020: 21-27
|
|
|
|
6302 |
Prediction of pore-scale clogging using artificial intelligence algorithms
Enthalten in Stochastic environmental research and risk assessment Bd. 37, 5.9.2023, Nr. 12, date:12.2023: 4911-4919
|
|
|
|
6303 |
Prediction of post-delivery hemoglobin levels with machine learning algorithms
Enthalten in Scientific reports Bd. 14, 17.6.2024, Nr. 1, date:12.2024: 1-10
|
|
|
|
6304 |
Prediction of precancerous cervical cancer lesions among women living with HIV on antiretroviral therapy in Uganda: a comparison of supervised machine learning algorithms
Enthalten in BMC women's health Bd. 24, 8.7.2024, Nr. 1, date:12.2024: 1-11
|
|
|
|
6305 |
Prediction of ROP Zones Using Deep Learning Algorithms and Voting Classifier Technique
Enthalten in International journal of computational intelligence systems Bd. 16, 17.5.2023, Nr. 1, date:12.2023: 1-11
|
|
|
|
6306 |
Prediction of small-molecule compound solubility in organic solvents by machine learning algorithms
Enthalten in Journal of cheminformatics Bd. 13, 11.12.2021, Nr. 1, date:12.2021: 1-13
|
|
|
|
6307 |
Prediction of soil organic carbon and total nitrogen affected by mine using Vis–NIR spectroscopy coupled with machine learning algorithms in calcareous soils
Enthalten in Scientific reports Bd. 14, 14.11.2024, Nr. 1, date:12.2024: 1-13
|
|
|
|
6308 |
Prediction of successful aging using ensemble machine learning algorithms
Enthalten in BMC medical informatics and decision making Bd. 22, 3.10.2022, Nr. 1, date:12.2022: 1-16
|
|
|
|
6309 |
Prediction of the number of asthma patients using environmental factors based on deep learning algorithms
Enthalten in Respiratory research Bd. 24, 1.12.2023, Nr. 1, date:12.2023: 1-9
|
|
|
|
6310 |
Prediction of the risk of developing end-stage renal diseases in newly diagnosed type 2 diabetes mellitus using artificial intelligence algorithms
Enthalten in BioData Mining Bd. 16, 10.3.2023, Nr. 1, date:12.2023: 1-14
|
|
Administration
