|
27091 |
Simple Behavioral Analysis (SimBA) as a platform for explainable machine learning in behavioral neuroscience Enthalten in Nature neuroscience Bd. 27, 22.5.2024, Nr. 7, date:7.2024: 1411-1424
|
|
|
27092 |
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
|
|
|
27093 |
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
|
|
|
27094 |
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
|
|
|
27095 |
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
|
|
|
27096 |
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
|
|
|
27097 |
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
|
|
|
27098 |
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
|
|
|
27099 |
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
|
|
|
27100 |
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
|
|