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  • Search: subject:"Machine learning approaches"
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Year of publication
Subject
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Artificial intelligence 4 Künstliche Intelligenz 4 Machine learning approaches 4 Decentralized collaboration in transportation planning 2 Double auction mechanism 2 Pickup and Delivery Problem 2 Scenario-based bundle selection 2 ARDL 1 Accounting fraud 1 Algorithm 1 Algorithmus 1 Auction theory 1 Auktionstheorie 1 Betrug 1 Bibliometrics 1 Bibliometrie 1 Bilanzdelikt 1 Bundling strategy 1 Business indicator 1 Classification 1 Classification accuracy 1 Credit policy 1 Data Mining 1 Data mining 1 Debt financing 1 Economic growth 1 Financial audit 1 Fraud 1 Fremdkapital 1 Heuristics 1 Heuristik 1 Klassifikation 1 Kreditpolitik 1 Leistungsbündel 1 Logistics provider 1 Logistikunternehmen 1 Meta-Analyse 1 Meta-analysis 1 Nachhaltige Entwicklung 1 Pakistan 1
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Online availability
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Free 3 CC license 2 Undetermined 2
Type of publication
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Article 5
Type of publication (narrower categories)
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Article in journal 4 Aufsatz in Zeitschrift 4 Article 1
Language
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English 5
Author
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Rieck, Julia 2 Rüther, Cornelius 2 Bai, Rui 1 Gupta, Sonika 1 Huang, Zhenna 1 Lin, Boqiang 1 Mariev, Oleg 1 Mehta, Sushil Kumar 1 Nazatul Faizah Haron 1 Nazir, HM Rashid 1 Sohail, Hafiz M. 1 Ullah, Mirzat 1
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Published in...
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EURO Journal on Transportation and Logistics (EJTL) 1 EURO journal on transportation and logistics 1 Energy strategy reviews 1 Finance research letters 1 Global business review 1
Source
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ECONIS (ZBW) 4 EconStor 1
Showing 1 - 5 of 5
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Driving sustainable economic growth through the energy Indicators : Insights from the ARDL and machine learning approaches
Sohail, Hafiz M.; Huang, Zhenna; Ullah, Mirzat; Nazir, … - In: Energy strategy reviews 62 (2025), pp. 1-17
Achieving affordable and clean energy targets is essential for sustainable development and high-quality economic growth, in alignment with the United Nations Agenda 2030. Previous studies have examined the effects of clean and non-clean energy on economic growth, yet limited attention has been...
Persistent link: https://www.econbiz.de/10015595873
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Bundle selection approaches for collaborative practical-oriented Pickup and Delivery Problems
Rüther, Cornelius; Rieck, Julia - In: EURO Journal on Transportation and Logistics (EJTL) 11 (2022) 1, pp. 1-16
Due to the increasing price pressure in the less-than-truckload (LTL) market, horizontal cooperation is an effective and efficient way for small- and medium-sized LTL carriers to enhance their profits by exchanging requests. For this purpose, a decentralized auction-based collaboration framework...
Persistent link: https://www.econbiz.de/10015450152
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Cover Image
Bundle selection approaches for collaborative practical-oriented Pickup and Delivery Problems
Rüther, Cornelius; Rieck, Julia - In: EURO journal on transportation and logistics 11 (2022), pp. 1-16
Due to the increasing price pressure in the less-than-truckload (LTL) market, horizontal cooperation is an effective and efficient way for small- and medium-sized LTL carriers to enhance their profits by exchanging requests. For this purpose, a decentralized auction-based collaboration framework...
Persistent link: https://www.econbiz.de/10013502626
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Data mining-based financial statement fraud detection : systematic literature review and meta-analysis to estimate data sample mapping of fraudulent companies against non-fraudulent companies
Gupta, Sonika; Mehta, Sushil Kumar - In: Global business review 25 (2024) 5, pp. 1290-1313
Persistent link: https://www.econbiz.de/10015163094
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Machine learning approaches for explaining determinants of the debt financing in heavy-polluting enterprises
Lin, Boqiang; Bai, Rui - In: Finance research letters 44 (2022), pp. 1-8
Persistent link: https://www.econbiz.de/10014495034
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