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The locomotive assignment problem : a survey on optimization models

Piu, F.; Speranza, Maria Grazia - In: International transactions in operational research : … 21 (2014) 3, pp. 327-352

Persistent link: https://www.econbiz.de/10010373867

Modernisierung industrieller Unternehmen und Beschäftigungssicherung : Zielkonflikt und Lösungswege am Beispiel Lateinamerikas

Altenburg, Tilman; Qualmann, Regine; Weller, Jürgen - In: Nord-Süd aktuell : Vierteljahreszeitschrift für … 12 (1998) 3, pp. 482-503

Persistent link: https://www.econbiz.de/10001405237

Sectoral digital intensity and GDP growth after a large employment shock : a simple extrapolation exercise

Gallipoli, Giovanni; Makridis, Christos A. - In: The Canadian journal of economics : the journal of the … 55 (2022), pp. 446-479

Persistent link: https://www.econbiz.de/10013193612

Nowcasting Chinese GDP in a data-rich environment : lessons from machine learning algorithms

Zhang, Qin; Ni, He; Xu, Hao - In: Economic modelling 122 (2023), pp. 1-15

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Blockchain technology-based FinTech banking sector involvement using adaptive neuro-fuzzy-based K-nearest neighbors algorithm

Rjoub, Husam; Adebayo, Tomiwa Sunday; Kirikkaleli, Dervis - In: Financial innovation : FIN 9 (2023) 1, pp. 1-23

an adaptive neuro-fuzzy-based K-nearest neighbors' algorithm. The chaotic improved foraging optimization algorithm is … proposed algorithm is compared with existing approaches to demonstrate its efficiency. The findings showed that it achieved 91 …

Persistent link: https://www.econbiz.de/10014289064