Deep Neural Network Architectures for Prognostics and Health Management of Industrial Systems
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource, 223 Seiten
- Sprache
-
Englisch
- Anmerkungen
-
Duisburg, Essen, Universität Duisburg-Essen, Dissertation, 2024
- Schlagwort
-
Neuronales Netz
Fehlererkennung
Maschinelles Lernen
Deep Learning
Neuronales Netz
Convolutional Neural Network
Tiefes neuronales Netz
- Ereignis
-
Veröffentlichung
- (wo)
-
Duisburg, Essen
- (wer)
-
Universität Duisburg-Essen
- (wann)
-
2024
- Urheber
- Beteiligte Personen und Organisationen
- DOI
-
10.17185/duepublico/82327
- URN
-
urn:nbn:de:hbz:465-20240821-133721-0
- Rechteinformation
-
Open Access unbekannt; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:36 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
- Chadha, Gavneet Singh
- Ding, Steven X.
- Universität Duisburg-Essen
Entstanden
- 2024
Ähnliche Objekte (12)
Optimizing deep neural network architectures for renewable energy forecasting
Stable Deep Neural Network Architectures for Mitochondria Segmentation on Electron Microscopy Volumes
Deep neural architectures for prediction in healthcare
Exploring robust architectures for deep artificial neural networks
Memristor crossbar architectures for implementing deep neural networks
Single-cell conventional pap smear image classification using pre-trained deep neural network architectures
A new deep neural network for forecasting: Deep dendritic artificial neural network
Turing's connectionism : an investigation of neural network architectures
Improving the automated search of neural network architectures
Evolving deep neural networks: optimization of weights and architectures
Processing-in-Memory DRAM Architectures for Neural Network Applications
Exploring Neural Network Architectures with Automated Machine Learning Approaches
Optimizing deep neural network architectures for renewable energy forecasting
Stable Deep Neural Network Architectures for Mitochondria Segmentation on Electron Microscopy Volumes
Deep neural architectures for prediction in healthcare
Exploring robust architectures for deep artificial neural networks
Memristor crossbar architectures for implementing deep neural networks
Single-cell conventional pap smear image classification using pre-trained deep neural network architectures
A new deep neural network for forecasting: Deep dendritic artificial neural network
Turing's connectionism : an investigation of neural network architectures
Improving the automated search of neural network architectures
Evolving deep neural networks: optimization of weights and architectures
Processing-in-Memory DRAM Architectures for Neural Network Applications
Exploring Neural Network Architectures with Automated Machine Learning Approaches
Optimizing deep neural network architectures for renewable energy forecasting
Stable Deep Neural Network Architectures for Mitochondria Segmentation on Electron Microscopy Volumes
Deep neural architectures for prediction in healthcare
Exploring robust architectures for deep artificial neural networks
Memristor crossbar architectures for implementing deep neural networks
Single-cell conventional pap smear image classification using pre-trained deep neural network architectures
A new deep neural network for forecasting: Deep dendritic artificial neural network
Turing's connectionism : an investigation of neural network architectures
Improving the automated search of neural network architectures
Evolving deep neural networks: optimization of weights and architectures
Processing-in-Memory DRAM Architectures for Neural Network Applications