References
- AFIR data base
- 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
- 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/
- 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
- 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
- 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
- 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
- https://docs.microsoft.com/en-us/azure/virtual-machines/windows/sizes-gpu
- https://www.oracle.com/ro/erp/ai-financials/what-is-ai-in-finance
- https://docs.microsoft.com/en-us/cognitive-toolkit/using-cntk-multigpu-support-with-keras
- https://blogs.technet.microsoft.com/machinelearning/2017/10/26/anaconda-and-microsoft-partner-to-offer-python-and-r-for-powerful-machine-learning/
- Larry D.Wall (2018), Some financial regulatory implications of artificial intelligence, Journal of Economics and Business (Elsevier), Vol.100, pp 55-63
- McKinsey, (2020), The state of AI in 2020, https://www.mckinsey.com/capabilities/quantumblack/our-insights/global-survey-the-state-of-ai-in-2020
- 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
- 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
- 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
- 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