|
26001 |
Re-investigation of functional gastrointestinal disorders utilizing a machine learning approach
Enthalten in BMC medical informatics and decision making Bd. 23, 26.8.2023, Nr. 1, date:12.2023: 1-12
|
|
|
|
26002 |
Reaching a desirable metastructure for passive vibration attenuation by using a machine learning approach
Enthalten in Nonlinear dynamics Bd. 112, 26.8.2024, Nr. 23, date:12.2024: 20661-20676
|
|
|
|
26003 |
Reaching machine learning leverage to advance performance of electrocatalytic CO2 conversion in non-aqueous deep eutectic electrolytes
Enthalten in Scientific reports Bd. 14, 21.10.2024, Nr. 1, date:12.2024: 1-18
|
|
|
|
26004 |
Reaching the Full Potential of Machine Learning in Mitigating Environmental Impacts of Functional Materials
Enthalten in Reviews of environmental contamination and toxicology Bd. 260, 14.12.2022, Nr. 1, date:12.2022: 1-19
|
|
|
|
26005 |
Reading Between the Lines: Machine Learning Ensemble and Deep Learning for Implied Threat Detection in Textual Data
Enthalten in International journal of computational intelligence systems Bd. 17, 15.7.2024, Nr. 1, date:12.2024: 1-17
|
|
|
|
26006 |
Reagent-free detection of Plasmodium falciparum malaria infections in field-collected mosquitoes using mid-infrared spectroscopy and machine learning
Enthalten in Scientific reports Bd. 14, 27.5.2024, Nr. 1, date:12.2024: 1-11
|
|
|
|
26007 |
Real-time arabic sign language recognition system using sensory glove and machine learning
Enthalten in Neural computing & applications Bd. 37, 28.1.2025, Nr. 9, date:3.2025: 6977-6993
|
|
|
|
26008 |
Real-time botnet detection on large network bandwidths using machine learning
Enthalten in Scientific reports Bd. 13, 15.3.2023, Nr. 1, date:12.2023: 1-10
|
|
|
|
26009 |
Real-time classification of ground conditions ahead of a TBM using supervised machine learning algorithms
Enthalten in Modeling earth systems and environment Bd. 10, 22.7.2024, Nr. 5, date:10.2024: 6173-6186
|
|
|
|
26010 |
Real-Time Evaluation of the Uncertainty in Weather Forecasts Through Machine Learning-Based Models
Enthalten in Water resources management Bd. 38, 17.2.2024, Nr. 7, date:5.2024: 2455-2470
|
|
Administration
