|
27131 |
Simple machine learning allied with data-driven methods for monitoring tool wear in machining processes
Enthalten in The international journal of advanced manufacturing technology Bd. 109, 1.8.2020, Nr. 9-12, date:8.2020: 2491-2501
|
|
|
|
27132 |
Simple machine learning model for the glass transition temperatures of hydrated polymers
Enthalten in Polymer journal Bd. 57, 11.11.2024, Nr. 2, date:2.2025: 225-231
|
|
|
|
27133 |
Simple Machine Learning with Aerial Imagery Reveals Severe Loss of a Salt Marsh Foundation Species
Enthalten in Estuaries and coasts Bd. 46, 11.3.2023, Nr. 4, date:6.2023: 1110-1122
|
|
|
|
27134 |
Simple rules outperform machine learning for personnel selection: insights from the 3rd annual SIOP machine learning competition
Enthalten in Discover artificial intelligence Bd. 3, 10.1.2023, Nr. 1, date:12.2023: 1-5
|
|
|
|
27135 |
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
|
|
|
|
27136 |
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
|
|
|
|
27137 |
Simulating the effect of Nature-based Solutions as a mitigation tool for Urban Heat Islands
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-G-2025, 2025: 1229-1235. 7 S.
|
|
|
|
27138 |
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
|
|
|
|
27139 |
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
|
|
|
|
27140 |
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
|
|
Administration
