|
26611 |
Simplex Lattice Design and Machine Learning Methods for the Optimization of Novel Microemulsion Systems to Enhance p-Coumaric Acid Oral Bioavailability: In Vitro and In Vivo Studies
Enthalten in American Association of Pharmaceutical Scientists: AAPS PharmSciTech Bd. 25, 6.3.2024, Nr. 3, date:3.2024: 1-18
|
|
|
|
26612 |
Simplified reliability analysis of multi hazard risk in gravity dams via machine learning techniques
Enthalten in Archives of civil and mechanical engineering Bd. 18, 9.11.2017, Nr. 2, date:6.2018: 592-610
|
|
|
|
26613 |
Simulating the NaK Eutectic Alloy with Monte Carlo and Machine Learning
Enthalten in Scientific reports Bd. 9, 24.1.2019, Nr. 1, date:12.2019: 1-11
|
|
|
|
26614 |
Simulating wastewater treatment plants for heavy metals using machine learning models
Enthalten in Arabian journal of geosciences Bd. 15, 25.8.2022, Nr. 17, date:9.2022: 1-15
|
|
|
|
26615 |
Simulation and Analysis of the Properties of Linear Structures in the Mass Distribution of Nuclear Reaction Products by Machine Learning Methods
Enthalten in Physics of particles and nuclei letters Bd. 18, 27.9.2021, Nr. 5, date:9.2021: 559-569
|
|
|
|
26616 |
Simulation and machine learning based analytical study of single electron transistor (SET)
Enthalten in Journal of computational electronics Bd. 23, 16.5.2024, Nr. 4, date:8.2024: 728-739
|
|
|
|
26617 |
Simulation-based machine learning for optoelectronic device design: perspectives, problems, and prospects
Enthalten in Optical and quantum electronics Bd. 53, 24.3.2021, Nr. 4, date:4.2021: 1-9
|
|
|
|
26618 |
Simulation-Based Machine Learning for Predicting Clad Layer Geometry in Laser Direct Energy Deposition
Enthalten in Indian Institute of Metals: Transactions of the Indian Institute of Metals Bd. 78, 26.2.2025, Nr. 4, date:4.2025: 1-14
|
|
|
|
26619 |
Simulation of a machine learning enabled learning health system for risk prediction using synthetic patient data
Enthalten in Scientific reports Bd. 12, 26.10.2022, Nr. 1, date:12.2022: 1-11
|
|
|
|
26620 |
Simulation of blast-induced ground vibrations using a machine learning-assisted mechanical framework
Enthalten in Environmental earth sciences Bd. 82, 4.10.2023, Nr. 21, date:11.2023: 1-20
|
|
Administration
