Zacytuj

AFIR data base Search in Google Scholar

Bergerman M., Billingsley J., Reid J., van Henten E. (2016) Robotics in Agriculture and Forestry. In: Siciliano B., Khatib O. (eds) Springer Handbook of Robotics. Springer, Cham, Springer-Verlag Berlin Heidelberg 2016, DOI https://doi.org/10.1007/978-3-319-32552-1_56 Search in Google Scholar

CECCAR, (2019), Profesia contabilă într-o economie bazată pe globalizare şi digitalizare (I), https://www.ceccarbusinessmagazine.ro/profesiacontabila-intr-o-economie-bazata-peglobalizare-sidigitalizare-i-a5481/ Search in Google Scholar

Ciro Potena, Daniele Nardi, Alberto Pretto - Fast and Accurate Crop and Weed Identification with Summarized Train Sets for Precision Agriculture, Springer International Publishing AG 2017, in W. Chen et al. (eds.), Intelligent Autonomous Systems 14, Advances in Intelligent Systems and Computing 531, DOI 10.1007/978-3-319-48036-7_9 Search in Google Scholar

Gonzalez-de-Santos, P., Ribeiro, A., Fernandez-Quintanilla, C. et al. - Fleets of robots for environmentally-safe pest control in agriculture, Precision Agric (2017), 18: 574, https://doi.org/10.1007/s11119-016-9476-3 Search in Google Scholar

Duţescu, A., Mihai, M.-S. (2023), The External Technological Context of Artificial Intelligence in Financial Services, Audit Financiar, vol. XXI, no. 4(172)/2023, pp. 747-759, DOI: 10.20869/AUDITF/2023/172/025 Search in Google Scholar

Gangu Naidu Mandala, Dharam Buddhi, Mahalakshmi Armugam, Suhas Harbola (2022), A Critical Review of Applications of Artificial Intelligence (AI) and its Powered Technologies in the Financial Industry, pp 2362-2365 Search in Google Scholar

https://docs.microsoft.com/en-us/azure/virtual-machines/windows/sizes-gpu Search in Google Scholar

https://www.oracle.com/ro/erp/ai-financials/what-is-ai-in-finance Search in Google Scholar

https://docs.microsoft.com/en-us/cognitive-toolkit/using-cntk-multigpu-support-with-keras Search in Google Scholar

https://blogs.technet.microsoft.com/machinelearning/2017/10/26/anaconda-and-microsoft-partner-to-offer-python-and-r-for-powerful-machine-learning/ Search in Google Scholar

Larry D.Wall (2018), Some financial regulatory implications of artificial intelligence, Journal of Economics and Business (Elsevier), Vol.100, pp 55-63 Search in Google Scholar

McKinsey, (2020), The state of AI in 2020, https://www.mckinsey.com/capabilities/quantumblack/our-insights/global-survey-the-state-of-ai-in-2020 Search in Google Scholar

Nicolay Lomakin, Maxim Maramygin, Alexander Kataev, Sergey Kraschenko, Olga Yourova, I.Lomakin (2022), Cognitive Model Of Financial Stability of the Domestic Economy Based on Artificial Intelligence in Conditions of Uncertainty and Risk, International journal of technology, Vol 13, Iss 7, pp 1588-1598 Search in Google Scholar

Pazarbasioglu, C., Garcia, A., Uttamchandani, M., Natarajan, H., Feyen, E., Saa, M., (2020). Digital Financial Services, World Bank Group, https://pubdocs.worldbank.org/en/230281588169110691/Digital-Financial-Services.pdf Search in Google Scholar

Ricardo Soto, Juan A.Gomez-Pulido, Stephane Caro, Jose M.Lanza-Gutierrez, (2019) Data Science and AI-Based Optimization in Scientific Programming, Scientific Programming (Hindawi), Vol 2019, pp 1-3 Search in Google Scholar

Sha Yuan, Zhou Shao, Xingxing Wei, Science behind AI: the evolution of trend, mobility, and collaboration, (2020), Scientometrics (Springer International Publishing), Vol.124, Iss:2, pp 993-1013 Search in Google Scholar

eISSN:
2558-9652
Język:
Angielski