|
25631 |
Predicting the impact of internet usage on students’ academic performance using machine learning techniques in Bangladesh perspective
Enthalten in Social network analysis and mining Bd. 14, 21.3.2024, Nr. 1, date:12.2024: 1-41
|
|
|
|
25632 |
Predicting the impact of yoga on chronic venous insufficiency: a machine learning approach using Naive Bayes classifier and optimization systems
Enthalten in Journal of ambient intelligence and humanized computing Bd. 16, 4.1.2025, Nr. 1, date:1.2025: 109-131
|
|
|
|
25633 |
Predicting the in-game status in soccer with machine learning using spatiotemporal player tracking data
Enthalten in Scientific reports Bd. 12, 29.9.2022, Nr. 1, date:12.2022: 1-10
|
|
|
|
25634 |
Predicting the level of anemia among Ethiopian pregnant women using homogeneous ensemble machine learning algorithm
Enthalten in BMC medical informatics and decision making Bd. 22, 22.9.2022, Nr. 1, date:12.2022: 1-11
|
|
|
|
25635 |
Predicting the level of autism and improvement rate from assessment dataset using machine learning techniques
Enthalten in International journal of information technology Bd. 15, 6.3.2023, Nr. 3, date:3.2023: 1647-1652
|
|
|
|
25636 |
Predicting the magnitude of injection-induced earthquakes using machine learning techniques
Enthalten in Natural hazards Bd. 118, 23.5.2023, Nr. 1, date:8.2023: 545-570
|
|
|
|
25637 |
Predicting the Mechanical Properties of Polyurethane Elastomers Using Machine Learning
Enthalten in Chinese journal of polymer science Bd. 41, 8.10.2022, Nr. 3, date:3.2023: 422-431
|
|
|
|
25638 |
Predicting the Myocardial Infarction from Predictive Analytics Through Supervised Machine Learning
Enthalten in SN Computer Science Bd. 4, 29.4.2023, Nr. 4, date:7.2023: 1-11
|
|
|
|
25639 |
Predicting the naturalistic course of depression from a wide range of clinical, psychological, and biological data: a machine learning approach
Enthalten in Translational Psychiatry Bd. 8, 5.11.2018, Nr. 1, date:12.2018: 1-11
|
|
|
|
25640 |
Predicting the necessity of oxygen therapy in the early stage of COVID-19 using machine learning
Enthalten in Medical & biological engineering & computing Bd. 60, 11.2.2022, Nr. 4, date:4.2022: 957-968
|
|
Administration
