Refinement of ensemble strategy for acute lymphoblastic leukemia microscopic images using hybrid CNN-GRU-BiLSTM and MSVM classifier
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource, 1 online resource.
- Sprache
-
Englisch
- Erschienen in
-
Refinement of ensemble strategy for acute lymphoblastic leukemia microscopic images using hybrid CNN-GRU-BiLSTM and MSVM classifier ; volume:35 ; number:23 ; day:3 ; month:5 ; year:2023 ; pages:17415-17427 ; date:8.2023
Neural computing & applications ; 35, Heft 23 (3.5.2023), 17415-17427, 8.2023
- Klassifikation
-
Informatik
- Urheber
-
Mohammed, Kamel K.
Hassanien, Aboul Ella
Afify, Heba M.
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s00521-023-08607-9
- URN
-
urn:nbn:de:101:1-2023101808515333873984
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 11:02 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
- Mohammed, Kamel K.
- Hassanien, Aboul Ella
- Afify, Heba M.
- SpringerLink (Online service)
Ähnliche Objekte (12)
A Novel CNN-BiLSTM-GRU Hybrid Deep Learning Model for Human Activity Recognition
Unemployment rate forecasting: LSTM-GRU hybrid approach
Unemployment rate forecasting: LSTM-GRU hybrid approach
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
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
Infrared small target detection based on region proposal and CNN classifier
Few-shot RUL prediction for engines based on CNN-GRU model
Analysis of Rutherford backscattering spectra with CNN-GRU mixture density network
A Novel CNN-BiLSTM-GRU Hybrid Deep Learning Model for Human Activity Recognition
Unemployment rate forecasting: LSTM-GRU hybrid approach
Unemployment rate forecasting: LSTM-GRU hybrid approach
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
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
Infrared small target detection based on region proposal and CNN classifier
Few-shot RUL prediction for engines based on CNN-GRU model
Analysis of Rutherford backscattering spectra with CNN-GRU mixture density network
A Novel CNN-BiLSTM-GRU Hybrid Deep Learning Model for Human Activity Recognition
Unemployment rate forecasting: LSTM-GRU hybrid approach
Unemployment rate forecasting: LSTM-GRU hybrid approach
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
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
Infrared small target detection based on region proposal and CNN classifier
Few-shot RUL prediction for engines based on CNN-GRU model