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Tasha Austin and Bharat S. Rawal
The purpose of this study is to show how machine learning can be leveraged as a tool to govern social impact and drive fair and equitable investments. Many organizations today are establishing financial inclusion goals to promote social impact and have b...
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Olegs Cernisevs, Yelena Popova and Dmitrijs Cernisevs
Risk management is a highly important issue for Fintech companies; moreover, it is very specific and puts forward the serious requirements toward the top management of any financial institution. This study was devoted to specifying the risk factors affec...
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Pungky Lela Saputri, Muhammad Faisal Yul Zamrudi
Pág. 73 - 81
This study aims to analyze the effect of financing disbursed by Islamic banks on reducing the poverty rate in Indonesia. This study used timeseries data tested using multiple linear regression analysis. Sharia bank financing data was obtained from Sharia...
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Andrea Grilli and Alex Balzi
Local Road Administrations (LRA) manage wide and fragmented road networks with constrained financial and human resources. Though LRA manage the most road networks and the relative development and maintenance have a huge impact on environment and society,...
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Jinhong Wu, Konstantinos Plataniotis, Lucy Liu, Ehsan Amjadian and Yuri Lawryshyn
Synthetic data, artificially generated by computer programs, has become more widely used in the financial domain to mitigate privacy concerns. Variational Autoencoder (VAE) is one of the most popular deep-learning models for generating synthetic data. Ho...
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