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  • Search: subject:"ensemble deep learning"
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Year of publication
Subject
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Ensemble deep learning 3 Forecasting model 3 Prognoseverfahren 3 Artificial intelligence 2 Demand 2 Künstliche Intelligenz 2 Nachfrage 2 Theorie 2 Theory 2 ensemble deep learning 2 Artificial Intelligence 1 Bestandsmanagement 1 Classification 1 Container terminal 1 Container terminals 1 Container transport 1 Containerterminal 1 Containerverkehr 1 Demand forecasting 1 Double attention mechanism 1 Infectious disease 1 Infektionskrankheit 1 Inventory management 1 Inventory model 1 Klassifikation 1 Knowledge graph 1 Lagerhaltungsmodell 1 Lagermanagement 1 Machine learning 1 Medical image analysis 1 Multi-stage classification 1 Multivariate time-series forecasting 1 Optimization 1 Road freight transport 1 Short-term prediction 1 Straßengüterverkehr 1 Time series analysis 1 Tourism 1 Tourism industry 1 Tourismus 1
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Online availability
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Undetermined 3 CC license 2 Free 2
Type of publication
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Article 5
Type of publication (narrower categories)
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Article in journal 5 Aufsatz in Zeitschrift 5
Language
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English 5
Author
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Bommi, Nitin Sai 1 Bondugula, Rohit Kumar 1 Chang, Fengtian 1 Guo, Ju'e 1 Jing, Yanzhen 1 Li, Na 1 Li, Yanzhao 1 Lin, Xin 1 Mafakheri, Fereshteh 1 Seyedan, Mahya 1 Sheng, Haotian 1 Sun, Shaolong 1 Udgata, Siba K. 1 Wang, Chun 1 Wang, Shouyang 1 Wang, Ziyiyang 1 Yan, Hairui 1 Zhang, Chao 1 Zhou, Guanghui 1
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Published in...
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International journal of production research 1 Maritime economics & logistics 1 Supply chain analytics 1 Tourism economics : the business and finance of tourism and recreation 1
Source
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ECONIS (ZBW) 5
Showing 1 - 5 of 5
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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. - 2024
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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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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Heterogeneous knowledge graph-driven subassembly identification with ensemble deep learning in Industry 4.0
Zhang, Chao; Jing, Yanzhen; Zhou, Guanghui; Yan, Hairui; … - In: International journal of production research 63 (2025) 9, pp. 3175-3191
Persistent link: https://www.econbiz.de/10015445189
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Prediction of delivery truck arrivals at container terminals : an ensemble deep learning model
Li, Na; Wang, Ziyiyang; Lin, Xin; Sheng, Haotian - In: Maritime economics & logistics 26 (2024) 4, pp. 658-684
Persistent link: https://www.econbiz.de/10015193076
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Tourism demand forecasting : an ensemble deep learning approach
Sun, Shaolong; Li, Yanzhao; Guo, Ju'e; Wang, Shouyang - In: Tourism economics : the business and finance of tourism … 28 (2022) 8, pp. 2021-2049
Persistent link: https://www.econbiz.de/10013473826
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