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Mathematical Research for Blockchain Economy : 3rd International Conference MARBLE 2022, Vilamoura, Portugal
Pardalos, Panos M. (ed.); Kotsireas, Ilias S. (ed.);  … - International Conference on Mathematical Research for … - 2023
This book presents the best papers from the 3rd International Conference on Mathematical Research for Blockchain … Economy (MARBLE) 2022, held in Vilamoura, Portugal. While most blockchain conferences and forums are dedicated to business … blockchain to bridge the gap between practice and theory. Blockchain Technology has been considered as the most fundamental and …
Persistent link: https://www.econbiz.de/10013551771
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Psychological and system-related barriers to adopting blockchain for operations management : an artificial neural network approach
Wong, Lai-Wan; Tan, Garry Wei-Han; Lee, Voon-Hsien; … - In: IEEE transactions on engineering management : EM 70 (2023) 1, pp. 67-81
Persistent link: https://www.econbiz.de/10014231362
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Univariate and multivariate machine learning forecasting models on the price returns of cryptocurrencies
Miller, Dante; Kim, Jong-Min - In: Journal of risk and financial management : JRFM 14 (2021) 10, pp. 1-10
In this study, we predicted the log returns of the top 10 cryptocurrencies based on market cap, using univariate and …
Persistent link: https://www.econbiz.de/10012792372
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Workload forecasting of a logistic node using Bayesian neural networks
Nakilcioğlu, Emin Çağatay; Rizvanolli, Anisa; … - In: Changing tides : the new role of resilience and …, (pp. 237-264). 2022
Purpose: Traffic volume in empty container depots has been highly volatile due to external factors. Forecasting the expected container truck traffic along with having a dynamic module to foresee the future workload plays a critical role in improving the work efficiency. This paper studies the...
Persistent link: https://www.econbiz.de/10013435448
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On the Basis of Brain : Neural-Network-Inspired Change in General Purpose Chips
Prytkova, Ekaterina; Vannuccini, Simone - 2021
In this paper, we disentangle the changes that the rise of Artificial Intelligence Technologies (AITs) is inducing in the semiconductor industry. The prevailing von Neumann architecture at the core of the established “intensive” technological trajectory of chip production is currently...
Persistent link: https://www.econbiz.de/10013249642
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Sales Forecast using a Neuro-Fuzzy Based Methodology
Bekiris, Michail - 2022
In the history of humanity actions around the forecast was always very important. Nowadays, large and small companies, international and national organizations, governments and educational institutions are in a continuous effort to improve the success of forecasting. Clearly, forecasts are very...
Persistent link: https://www.econbiz.de/10014237467
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A neural feature extraction model for classification of firms and prediction of outsourcing success : advantage of using relational sources of information for new suppliers
Medhi, Pankaj Kumar; Mondal, Sandeep - In: International journal of production research 54 (2016) 19/20, pp. 6071-6081
Persistent link: https://www.econbiz.de/10011543743
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Adaptive evolutionary neural networks for forecasting and trading without a data-snooping bias
Sermpinis, Georgios; Verousis, Thanos; Theofilatos, … - In: Journal of forecasting 35 (2016) 1, pp. 1-12
Persistent link: https://www.econbiz.de/10011417657
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Predicting credit card delinquencies : an application of deep neural networks
Sun, Ting; Vasarhelyi, Miklos A. - In: Intelligent systems in accounting finance and … 25 (2018) 4, pp. 174-189
Persistent link: https://www.econbiz.de/10012035532
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Predicting terrorism with machine learning : lessons from "predicting terrorism: a machine learning approach"
Basuchoudhary, Atin; Bang, James T. - In: Peace economics, peace science and public policy 24 (2018) 4, pp. 1-8
Persistent link: https://www.econbiz.de/10011981717