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  • Search: subject:"data-driven modelling"
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Forecasting model 2 Prognoseverfahren 2 Theorie 2 Theory 2 data-driven modelling 2 Artificial intelligence 1 Business process management 1 Chirurgie 1 Control theory 1 Edelman Award 1 Gesundheitsversorgung 1 Gesundheitswesen 1 Health care 1 Health care system 1 Healthcare 1 Hospital 1 India 1 Indien 1 Kalman filter 1 Kontrolltheorie 1 Krankenhaus 1 Künstliche Intelligenz 1 Mathematical programming 1 Mathematische Optimierung 1 Neural networks 1 Neuronale Netze 1 Nichtlineare Regression 1 Nonlinear regression 1 Prozessmanagement 1 Scheduling problem 1 Scheduling-Verfahren 1 Stahlindustrie 1 Steel industry 1 Surgery 1 Time series analysis 1 Zeitreihenanalyse 1 artificial neural networks 1 composite dispatching rule 1 continuous annealing furnace 1 data-driven modelling procedures 1
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Article 3
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Article in journal 3 Aufsatz in Zeitschrift 3
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English 3
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Dey, Arup K. 1 Gudimetla, Sai K. 1 Jagnade, Sujit A. 1 Jha, Ajay K. 1 Korath, Jose M. 1 Kumar, Kunal 1 Lee, Jinu 1 Patwardhan, Sachin C. 1 Prakash, Gyan 1 Singh, Manish K. 1 Su, Huiqiao 1 Wan, Guohua 1 Wang, Shan 1 Zhong, Liwei 1
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INFORMS journal on applied analytics 1 International journal of production research 1 Journal of time series econometrics 1
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ECONIS (ZBW) 3
Showing 1 - 3 of 3
Did you mean: subject:"data-driven modeling" (14 results)
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Optimization of continuous steel annealing operations using model predictive control at Tata Steel, India
Jagnade, Sujit A.; Patwardhan, Sachin C.; Kumar, Kunal; … - In: INFORMS journal on applied analytics 55 (2025) 1, pp. 48-65
Persistent link: https://www.econbiz.de/10015192550
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Surgery scheduling in the presence of operating room eligibility and dedicated surgeon : an adaptive composite dispatching method
Wang, Shan; Su, Huiqiao; Wan, Guohua; Zhong, Liwei - In: International journal of production research 61 (2023) 6, pp. 1866-1881
Persistent link: https://www.econbiz.de/10014230497
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A neural network method for nonlinear time series analysis
Lee, Jinu - In: Journal of time series econometrics 11 (2019) 1, pp. 1-18
Persistent link: https://www.econbiz.de/10012022813
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