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Ergebnis der Suche nach: "Machine Learning"
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26561 - 26570 von 28230
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Artikel 26561 seqQscorer: automated quality control of next-generation sequencing data using machine learning
Enthalten in Genome biology Bd. 22, 5.3.2021, Nr. 1, date:12.2021: 1-20
Online Ressource
Artikel 26562 Sequence-Order Frequency Matrix–Sampling and Machine Learning with Smith–Waterman (SOFM–SMSW) for Protein Remote Homology Detection
Enthalten in Wireless personal communications Bd. 138, 10.10.2024, Nr. 4, date:10.2024: 2637-2656
Online Ressource
Artikel 26563 SequenceCraft: machine learning-based resource for exploratory analysis of RNA-cleaving deoxyribozymes
Enthalten in BMC bioinformatics Bd. 26, 6.1.2025, Nr. 1, date:12.2025: 1-18
Online Ressource
Artikel 26564 Sequential Feature Selection and Machine Learning Algorithm-Based Patient’s Death Events Prediction and Diagnosis in Heart Disease
Enthalten in SN Computer Science Bd. 1, 16.10.2020, Nr. 6, date:11.2020: 1-16
Online Ressource
Artikel 26565 SERS-based lateral flow assay combined with machine learning for highly sensitive quantitative analysis of Escherichia coli O157:H7
Enthalten in Analytical and bioanalytical chemistry Bd. 412, 12.9.2020, Nr. 28, date:11.2020: 7881-7890
Online Ressource
Artikel 26566 Serum micro-RNAs with mutation-targeted RNA modification: a potent cancer detection tool constructed using an optimized machine learning workflow
Enthalten in Scientific reports Bd. 14, 19.4.2024, Nr. 1, date:12.2024: 1-11
Online Ressource
Artikel 26567 SETAR-Tree: a novel and accurate tree algorithm for global time series forecasting
Enthalten in Machine learning Bd. 112, 13.3.2023, Nr. 7, date:7.2023: 2555-2591
Online Ressource
Artikel 26568 Setting the standard for machine learning in phase field prediction: a benchmark dataset and baseline metrics
Enthalten in Scientific data Bd. 11, 23.11.2024, Nr. 1, date:12.2024: 1-10
Online Ressource
Artikel 26569 Settlement prediction of micropile supported raft using machine learning: modelling and performance evaluation
Enthalten in Journal of building pathology and rehabilitation Bd. 10, 2.11.2024, Nr. 1, date:6.2025: 1-16
Online Ressource
Artikel 26570 Several machine learning techniques comparison for the prediction of the uniaxial compressive strength of carbonate rocks
Enthalten in Scientific reports Bd. 12, 5.12.2022, Nr. 1, date:12.2022: 1-13
Online Ressource


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