|
10971 |
Predicting superconducting transition temperature through advanced machine learning and innovative feature engineering
Enthalten in Scientific reports Bd. 14, 17.2.2024, Nr. 1, date:12.2024: 1-12
|
|
|
|
10972 |
Predicting surface soil pH spatial distribution based on three machine learning methods: a case study of Heilongjiang Province
Enthalten in Environmental monitoring and assessment Bd. 197, 8.3.2025, Nr. 4, date:4.2025: 1-16
|
|
|
|
10973 |
Predicting survival in glioblastoma with multimodal neuroimaging and machine learning
Enthalten in Journal of neuro-oncology Bd. 164, 5.9.2023, Nr. 2, date:9.2023: 309-320
|
|
|
|
10974 |
Predicting survival of advanced laryngeal squamous cell carcinoma: comparison of machine learning models and Cox regression models
Enthalten in Scientific reports Bd. 13, 28.10.2023, Nr. 1, date:12.2023: 1-9
|
|
|
|
10975 |
Predicting symptomatic kidney stones using machine learning algorithms: insights from the Fasa adults cohort study (FACS)
Enthalten in Biomed Central (London): BMC Research Notes Bd. 17, 24.10.2024, Nr. 1, date:12.2024: 1-10
|
|
|
|
10976 |
Predicting synthetic mRNA stability using massively parallel kinetic measurements, biophysical modeling, and machine learning
Enthalten in Nature Communications Bd. 15, 6.11.2024, Nr. 1, date:12.2024: 1-11
|
|
|
|
10977 |
Predicting terrestrial heat flow in Egypt using random forest regression: a machine learning approach
Enthalten in Geothermal Energy Bd. 13, 24.4.2025, Nr. 1, date:12.2025: 1-31
|
|
|
|
10978 |
Predicting the Addition of Information Regarding Clinically Significant Adverse Drug Reactions to Japanese Drug Package Inserts Using a Machine-Learning Model
Enthalten in Therapeutic innovation & regulatory science Bd. 58, 22.12.2023, Nr. 2, date:3.2024: 357-367
|
|
|
|
10979 |
Predicting the antenna properties of helicon plasma thrusters using machine learning techniques
Enthalten in Journal of electric propulsion Bd. 3, 5.3.2024, Nr. 1, date:12.2024: 1-24
|
|
|
|
10980 |
Predicting the clothing insulation through machine learning algorithms: A comparative analysis and a practical approach
Enthalten in Building simulation Bd. 17, 16.3.2024, Nr. 5, date:5.2024: 839-855
|
|
Administration
