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Ergebnis der Suche nach: "Machine Learning"
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26601 - 26610 von 28935
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Artikel 26601 Recent advance in machine learning for partial differential equation
Enthalten in CCF transactions on high performance computing Bd. 3, 20.8.2021, Nr. 3, date:9.2021: 298-310
Online Ressource
Artikel 26602 Recent advances in dark fermentative hydrogen production from vegetable waste: role of inoculum, consolidated bioprocessing, and machine learning
Enthalten in Environmental science and pollution research Bd. 31, 6.12.2024, Nr. 59, date:12.2024: 66537-66550
Online Ressource
Artikel 26603 Recent advances in earthquake seismology using machine learning
Enthalten in Earth, planets and space Bd. 76, 28.2.2024, Nr. 1, date:12.2024: 1-32
Online Ressource
Artikel 26604 Recent Advances in Machine Learning-Based Models for Prediction of Antiviral Peptides
Enthalten in Archives of computational methods in engineering Bd. 30, 29.4.2023, Nr. 7, date:9.2023: 4033-4044
Online Ressource
Artikel 26605 Recent advances in machine learning interatomic potentials for cross-scale computational simulation of materials
Enthalten in Science China materials Bd. 67, 12.3.2024, Nr. 4, date:4.2024: 1082-1100
Online Ressource
Artikel 26606 Recent Advances in Melanoma Diagnosis and Prognosis Using Machine Learning Methods
Enthalten in Current oncology reports Bd. 25, 31.3.2023, Nr. 6, date:6.2023: 635-645
Online Ressource
Artikel 26607 Recent advances in structural health diagnosis: a machine learning perspective
Enthalten in Advances in bridge engineering Bd. 6, 8.3.2025, Nr. 1, date:12.2025: 1-28
Online Ressource
Artikel 26608 Recent applications of machine learning and deep learning models in the prediction, diagnosis, and management of diabetes: a comprehensive review
Enthalten in Diabetology & metabolic syndrome Bd. 14, 27.12.2022, Nr. 1, date:12.2022: 1-39
Online Ressource
Artikel 26609 Recent development of machine learning-based methods for the prediction of defensin family and subfamily
Enthalten in EXCLI journal Bd. 21, 05.05.2022
Online Ressource
Artikel 26610 Recent development of machine learning models for the prediction of drug-drug interactions
Enthalten in The Korean journal of chemical engineering Bd. 40, 2.2.2023, Nr. 2, date:2.2023: 276-285
Online Ressource


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