- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1687-1499
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Anomaly detection in multi-tiered cellular networks using LSTM and 1D CNN ; volume:2022 ; number:1 ; day:4 ; month:10 ; year:2022 ; pages:1-22 ; date:12.2022
EURASIP journal on wireless communications and networking / European Association for Speech, Signal and Image Processing ; 2022, Heft 1 (4.10.2022), 1-22, 12.2022
- Urheber
-
Oğuz, Hasan Tahsin
Kalaycıoğlu, Aykut
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s13638-022-02183-7
- URN
-
urn:nbn:de:101:1-2022122409252101290447
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:21 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
- Oğuz, Hasan Tahsin
- Kalaycıoğlu, Aykut
- SpringerLink (Online service)
Ähnliche Objekte (12)
Electrocardiogram generation with a bidirectional LSTM-CNN generative adversarial network
Air fare sentiment via Backtranslation-CNN-BiLSTM and BERTopic
ECG signal classification based on deep CNN and BiLSTM
Efficient Hardware Architectures for 1D- and MD-LSTM Networks
A LSTM-Based Anomaly Detection Model for Log Analysis
1D-CNN-based audio tampering detection using ENF signals
No-reference video quality assessment via pretrained CNN and LSTM networks
Event prediction within directional change framework using a CNN-LSTM model
Predicting Geolocation of Tweets: Using Combination of CNN and BiLSTM
Exploiting CNN’s visual explanations to drive anomaly detection
Integrable 1D Toda cellular automata
The Short-Term Prediction of Length of Day Using 1D Convolutional Neural Networks (1D CNN)
Electrocardiogram generation with a bidirectional LSTM-CNN generative adversarial network
Air fare sentiment via Backtranslation-CNN-BiLSTM and BERTopic
ECG signal classification based on deep CNN and BiLSTM
Efficient Hardware Architectures for 1D- and MD-LSTM Networks
A LSTM-Based Anomaly Detection Model for Log Analysis
1D-CNN-based audio tampering detection using ENF signals
No-reference video quality assessment via pretrained CNN and LSTM networks
Event prediction within directional change framework using a CNN-LSTM model
Predicting Geolocation of Tweets: Using Combination of CNN and BiLSTM
Exploiting CNN’s visual explanations to drive anomaly detection
Integrable 1D Toda cellular automata
The Short-Term Prediction of Length of Day Using 1D Convolutional Neural Networks (1D CNN)
Electrocardiogram generation with a bidirectional LSTM-CNN generative adversarial network
Air fare sentiment via Backtranslation-CNN-BiLSTM and BERTopic
ECG signal classification based on deep CNN and BiLSTM
Efficient Hardware Architectures for 1D- and MD-LSTM Networks
A LSTM-Based Anomaly Detection Model for Log Analysis
1D-CNN-based audio tampering detection using ENF signals
No-reference video quality assessment via pretrained CNN and LSTM networks
Event prediction within directional change framework using a CNN-LSTM model
Predicting Geolocation of Tweets: Using Combination of CNN and BiLSTM
Exploiting CNN’s visual explanations to drive anomaly detection
Integrable 1D Toda cellular automata