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Application of artificial neural network techniques in computer aided process planning : a review
Natarajan, K. K.; Gokulachandran, J. - In: International journal of process management and … 11 (2021) 1, pp. 80-100
Persistent link: https://www.econbiz.de/10012512448
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Multi-faceted modelling for strip breakage in cold rolling using machine learning
Chen, Zheyuan; Liu, Ying; Valera-Medina, Agustin; … - In: International journal of production research 59 (2021) 21, pp. 6347-6360
Persistent link: https://www.econbiz.de/10012652739
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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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Predictive end-to-end enterprise process network monitoring
Oberdorf, Felix; Schaschek, Myriam; Weinzierl, Sven; … - In: Business & information systems engineering 65 (2023) 1, pp. 49-64
Persistent link: https://www.econbiz.de/10014228189
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Deep learning and sequence mining for manufacturing process and sequence selection
Zhao, Changxuan; Dinar, Mahmoud; Melkote, Shreyes N. - In: International journal of production research 62 (2024) 14, pp. 5293-5314
Persistent link: https://www.econbiz.de/10014547462
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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
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Has dynamic programming improved decision making?
Rust, John - In: Annual review of economics 11 (2019), pp. 833-858
Persistent link: https://www.econbiz.de/10012623842
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Improving learning experience and privacy in education using the power of Big Data and Artificial Intelligence
Butt, Usman Javed; Davelis, Aristeidis; Abbod, Maysam; … - In: Integrated Business Models in the Digital Age : …, (pp. 371-424). 2022
Persistent link: https://www.econbiz.de/10013282652
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Application of artificial intelligence in stock market forecasting : a critique, review, and research agenda
Chopra, Ritika; Sharma, Gagan Deep - In: Journal of risk and financial management : JRFM 14 (2021) 11, pp. 1-34
The stock market is characterized by extreme fluctuations, non-linearity, and shifts in internal and external environmental variables. Artificial intelligence (AI) techniques can detect such non-linearity, resulting in much-improved forecast results. This paper reviews 148 studies utilizing...
Persistent link: https://www.econbiz.de/10012795264
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Neuro-fuzzy approach in business applications : a decade survey
Rajab, Sharifa; Sharma, Vinod - In: International journal of business information systems : … 26 (2017) 4, pp. 451-487
Persistent link: https://www.econbiz.de/10011856652