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Web and Mobile Platforms for Managing Elections based on IoT And Machine Learning Algorithms. (arXiv:2303.09045v1 [cs.LG])
Web: http://arxiv.org/abs/2303.09045
March 17, 2023, 1:10 a.m. | G. M. I. K. Galagoda, W. M. C. A. Karunarathne, R. S. Bates, K. M. H. V. P. Gangathilaka, Kanishka Yapa, Erandika Gamage
cs.CR updates on arXiv.org arxiv.org
The global pandemic situation has severely affected all countries. As a
result, almost all countries had to adjust to online technologies to continue
their processes. In addition, Sri Lanka is yearly spending ten billion on
elections. We have examined a proper way of minimizing the cost of hosting
these events online. To solve the existing problems and increase the time
potency and cost reduction we have used IoT and ML-based technologies.
IoT-based data will identify, register, and be used to …
algorithms elections iot machine machine learning machine learning algorithms mobile platforms web
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