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Ergebnis der Suche nach: "Machine Learning"
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Artikel 941 Recent Advances in Machine Learning‐Assisted Multiscale Design of Energy Materials
Enthalten in Advanced energy materials 10.12.2024. 57 S.
Online Ressource
Artikel 942 Revealing Rubric Relations: Investigating the Interdependence of a Research-Informed and a Machine Learning-Based Rubric in Assessing Student Reasoning in Chemistry
Enthalten in International journal of artificial intelligence in education 10.12.2024: 1-39
Online Ressource
Artikel 943 Identifying neural network structures explained by personality traits: combining unsupervised and supervised machine learning techniques in translational validity assessment
Enthalten in European physical journal special topics 9.12.2024: 1-21
Online Ressource
Artikel 944 Probiotic Supplements Benefit Psoriasis Therapy Rather Than Affecting Disease Risk: Evidence from NHANES Machine-Learning and Meta-Analysis Study
Enthalten in Probiotics and Antimicrobial Proteins 9.12.2024: 1-15
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Artikel 945 Enhancing Lignin‐Carbohydrate Complexes Production and Properties With Machine Learning
Enthalten in ChemSusChem 06.12.2024. 12 S.
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Artikel 946 Enhancing Inverse Modeling in Groundwater Systems through Machine Learning: A Comprehensive Comparative Study
Enthalten in Hydrology and earth system sciences discussions 06.12.2024: 1-31. 31 S.
Online Ressource
Artikel 947 Developing artificial neural networks to estimate the fatigue strength of structural steel details using the new European database
Enthalten in Steel construction 05.12.2024. 13 S.
Online Ressource
Artikel 948 Machine Learning Guided Rational Design of a Non‐Heme Iron‐Based Lysine Dioxygenase Improves its Total Turnover Number
Enthalten in ChemBioChem 05.12.2024. 9 S.
Online Ressource
Artikel 949 Porous‐Skeleton‐Encapsulated Electronic Yarn: High‐Precision Pressure Sensing, Moisture Monitoring, and Personal Protection for Exercise Rehabilitation
Enthalten in Small structures 05.12.2024. 14 S.
Online Ressource
Artikel 950 Estimating the variability of deep ocean particle flux collected by sediment traps using satellite data and machine learning
Enthalten in EGUsphere 05.12.2024: 1-32. 32 S.
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