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An ETA prediction model for intermodal transport networks based on machine learning

Balster, Andreas; Hansen, Ole; Friedrich, Hanno; … - In: Business & information systems engineering 62 (2020) 5, pp. 403-416

Persistent link: https://www.econbiz.de/10012308078

Call me maybe : methods and practical implementation of artificial intelligence in call center arrivals' forecasting

Albrecht, Tobias; Rausch, Theresa Maria; Derra, … - In: Journal of business research : JBR 123 (2021), pp. 267-278

Persistent link: https://www.econbiz.de/10012430508

Efficacy of Artificial Neural Networks (ANN) as a tool for predictive analytics

Sinha, Deepti; Sarangi, Pradeepta Kumar; Sinha, Sachin - In: Analytics Enabled Decision Making, (pp. 123-138). 2023

Persistent link: https://www.econbiz.de/10014302861

Artificial intelligence applied to African stock market

Amzile, Karim - In: International journal of management practice : IJMP 17 (2024) 4, pp. 463-477

Persistent link: https://www.econbiz.de/10015069643

Foreign aid allocation : a neural network approach

Rende, Sevinç - In: Journal of business strategies 34 (2017) 1, pp. 33-56

Persistent link: https://www.econbiz.de/10011734608

Evaluation of machine learning applications using real-world EHR data for predicting diabetes-related long-term complications

Mosa, Abu Saleh Mohammad; Thongmotai, Chalermpon; … - In: Journal of business analytics 5 (2022) 2, pp. 141-151

Persistent link: https://www.econbiz.de/10013453962

Using the power of machine learning in sales research : process and potential

Glackin, Caroline E. W.; Adıvar, Murat - In: Journal of personal selling & sales management : JPSSM 43 (2023) 3, pp. 178-194

Persistent link: https://www.econbiz.de/10014365148

AI in marketing, consumer research and psychology : a systematic literature review and research agenda

Mariani, Marcello M.; Perez-Vega, Rodrigo; Wirtz, Jochen - In: Psychology & marketing 39 (2022) 4, pp. 755-776

Persistent link: https://www.econbiz.de/10013165434

What does it take to win or lose a soccer game? : A machine learning approach to understand the impact of game and team statistics

Bai, Lu; Gedik, Ridvan; Egilmez, Gokhan - In: Journal of the Operational Research Society 74 (2023) 7, pp. 1690-1711

Persistent link: https://www.econbiz.de/10014336284

Machine learning the carbon footprint of Bitcoin mining

Calvo Pardo, Héctor F.; Mancini, Tullio; Olmo, Jose - In: Journal of risk and financial management : JRFM 15 (2022) 2, pp. 1-30

Building on an economic model of rational Bitcoin mining, we measured the carbon footprint of Bitcoin mining power consumption using feed-forward neural networks. We found associated carbon footprints of 2.77, 16.08 and 14.99 MtCO2e for 2017, 2018 and 2019 based on a novel bottom-up approach,...

Persistent link: https://www.econbiz.de/10012821293