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  • Search: subject:"Ensemble deep learning"
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Year of publication
Subject
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Ensemble deep learning 2 Artificial intelligence 1 Bestandsmanagement 1 Classification 1 Demand 1 Demand forecasting 1 Forecasting model 1 Infectious disease 1 Infektionskrankheit 1 Inventory management 1 Inventory model 1 Klassifikation 1 Künstliche Intelligenz 1 Lagerhaltungsmodell 1 Lagermanagement 1 Machine learning 1 Medical image analysis 1 Multi-stage classification 1 Multivariate time-series forecasting 1 Nachfrage 1 Optimization 1 Prognoseverfahren 1 Theorie 1 Theory 1 Time series analysis 1 Warehouse management 1 Zeitreihenanalyse 1
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CC license 2 Free 2
Type of publication
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Article 2
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2
Language
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English 2
Author
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Bommi, Nitin Sai 1 Bondugula, Rohit Kumar 1 Mafakheri, Fereshteh 1 Seyedan, Mahya 1 Udgata, Siba K. 1 Wang, Chun 1
Published in...
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Decision analytics journal 1 Supply chain analytics 1
Source
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ECONIS (ZBW) 2
Showing 1 - 2 of 2
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An efficient multi-stage ensemble deep learning framework for diagnosing infectious diseases
Bondugula, Rohit Kumar; Bommi, Nitin Sai; Udgata, Siba K. - In: Decision analytics journal 11 (2024), pp. 1-10
This study presents an efficient four-stage ensemble deep learning framework for diagnosing infectious diseases. The …
Persistent link: https://www.econbiz.de/10015101774
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Cover Image
Order-up-to-level inventory optimization model using time-series demand forecasting with ensemble deep learning
Seyedan, Mahya; Mafakheri, Fereshteh; Wang, Chun - In: Supply chain analytics 3 (2023), pp. 1-13
case of an online retail industry using ensemble deep learning-based forecasting methods with a comparison of their … performance of each model. Also, the advantages of deep learning and ensemble learning are combined in ensemble deep learning …
Persistent link: https://www.econbiz.de/10014516502
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