Systematic literature review of the performance characteristics of Chebyshev polynomials in machine learning applications for economic forecasting in low-income communities in sub-Saharan Africa
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s43546-022-00328-w.pdf
Reference59 articles.
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2. Aftab M, Ismail I (2015) Defeating poverty through education: The role of ICT. Transform Bus Econ 14(3):21–37
3. Anetor FO, Esho E, Verhoef G (2020) The impact of foreign direct investment, foreign aid, and trade on poverty reduction: evidence from Sub-Saharan African countries. Cogent Econ Fin. https://doi.org/10.1080/23322039.2020.1737347
4. Azunu R, Mensah JK (2019) Local economic development and poverty reduction in developing societies: The experience of the ILO decent work project in Ghana. Local Econ 34(5):405–420. https://doi.org/10.1177/0269094219859234
5. Babic D (2013) Design of polynomial-based digital interpolation filters based on Chebyshev polynomials. In: Paper presented at the 2013 36th International Conference on Telecommunications and Signal Processing, TSP 2013.
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