Maximizing reusability of learning objects through machine learning techniques
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Maximizing reusability of learning objects through machine learning techniques ; volume:13 ; number:1 ; day:11 ; month:10 ; year:2023 ; pages:1-9 ; date:12.2023
Scientific reports ; 13, Heft 1 (11.10.2023), 1-9, 12.2023
- Urheber
-
Amane, Meryem
Gouiouez, Mounir
Berrada, Mohammed
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-023-40174-w
- URN
-
urn:nbn:de:101:1-2024020808470324649832
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:30 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Amane, Meryem
- Gouiouez, Mounir
- Berrada, Mohammed
- SpringerLink (Online service)
Ähnliche Objekte (12)
Machine Learning Based Beam Selection for Maximizing Wireless Network Capacity
Bankruptcy prediction using machine learning techniques
Machine-learning techniques for geometry optimization
Machine Learning for Maximizing the Memristivity of Single and Coupled Quantum Memristors
Maximizing intrusion detection efficiency for IoT networks using extreme learning machine
Optimizing proof search by machine learning techniques
Machine learning techniques for time series classification
Machine learning techniques for time series classification
ESG ratings explainability through machine learning techniques
Improving Predictive Modeling With Machine Learning Techniques
Spatial objects classification using machine learning and spatial walk algorithm
XML-strukturierte Learning Objects
Machine Learning Based Beam Selection for Maximizing Wireless Network Capacity
Bankruptcy prediction using machine learning techniques
Machine-learning techniques for geometry optimization
Machine Learning for Maximizing the Memristivity of Single and Coupled Quantum Memristors
Maximizing intrusion detection efficiency for IoT networks using extreme learning machine
Optimizing proof search by machine learning techniques
Machine learning techniques for time series classification
Machine learning techniques for time series classification
ESG ratings explainability through machine learning techniques
Improving Predictive Modeling With Machine Learning Techniques
Spatial objects classification using machine learning and spatial walk algorithm
XML-strukturierte Learning Objects
Machine Learning Based Beam Selection for Maximizing Wireless Network Capacity
Bankruptcy prediction using machine learning techniques
Machine-learning techniques for geometry optimization
Machine Learning for Maximizing the Memristivity of Single and Coupled Quantum Memristors
Maximizing intrusion detection efficiency for IoT networks using extreme learning machine
Optimizing proof search by machine learning techniques
Machine learning techniques for time series classification
Machine learning techniques for time series classification
ESG ratings explainability through machine learning techniques
Improving Predictive Modeling With Machine Learning Techniques
Spatial objects classification using machine learning and spatial walk algorithm