Katalog der Deutschen Nationalbibliothek

Neuigkeiten

Leichte Bedienung, intuitive Suche: Die Betaversion unseres neuen Katalogs ist online! → Zur Betaversion des neuen DNB-Katalogs

 
 
 


Ergebnis der Suche nach: "Machine Learning"
im Bestand: Gesamter Bestand

26551 - 26560 von 28248
<< < > >>


Artikel 26551 Semi-supervised machine-learning classification of materials synthesis procedures
Enthalten in npj computational materials Bd. 5, 8.7.2019, Nr. 1, date:12.2019: 1-7
Online Ressource
Artikel 26552 Semi-supervised machine learning for automated species identification by collagen peptide mass fingerprinting
Enthalten in BMC bioinformatics Bd. 19, 26.6.2018, Nr. 1, date:12.2018: 1-9
Online Ressource
Artikel 26553 Semiconductor Multilayer Nanometrology with Machine Learning
Enthalten in Nanomanufacturing and metrology Bd. 6, 4.5.2023, Nr. 1, date:12.2023: 1-18
Online Ressource
Artikel 26554 Semiparametric efficient estimation of genetic relatedness with machine learning methods
Enthalten in Statistics and computing Bd. 35, 9.4.2025, Nr. 3, date:6.2025: 1-15
Online Ressource
Artikel 26555 SEMORE: SEgmentation and MORphological fingErprinting by machine learning automates super-resolution data analysis
Enthalten in Nature Communications Bd. 15, 26.2.2024, Nr. 1, date:12.2024: 1-13
Online Ressource
Artikel 26556 SenPred: a single-cell RNA sequencing-based machine learning pipeline to classify deeply senescent dermal fibroblast cells for the detection of an in vivo senescent cell burden
Enthalten in Genome medicine Bd. 17, 14.1.2025, Nr. 1, date:12.2025: 1-16
Online Ressource
Artikel 26557 Sense disambiguation for Punjabi language using supervised machine learning techniques
Enthalten in Sādhāna Bd. 44, 31.10.2019, Nr. 11, date:11.2019: 1-15
Online Ressource
Artikel 26558 Sensing-aided peer-to-peer millimeter-wave communication
Enthalten in International journal of information technology Bd. 16, 17.3.2024, Nr. 4, date:4.2024: 2069-2075
Online Ressource
Artikel 26559 Sensitive analysis of meteorological data and selecting appropriate machine learning model for estimation of reference evapotranspiration
Enthalten in Applied water science Bd. 13, 28.2.2023, Nr. 3, date:3.2023: 1-17
Online Ressource
Artikel 26560 Sensitivity analysis for interpretation of machine learning based segmentation models in cardiac MRI
Enthalten in BMC medical imaging Bd. 21, 15.2.2021, Nr. 1, date:12.2021: 1-8
Online Ressource


26551 - 26560 von 28248
<< < > >>


E-Mail-IconAdministration