2020 IEEE Third International Conference on Artificial Intelligence and Knowledge Engineering (AIKE) 2020
DOI: 10.1109/aike48582.2020.00044
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Convolution-based Machine Learning To Attenuate Covid-19’s Infections in Large Cities

Abstract: In this paper a nonlinear mathematical model based at convolution theory and translated in terms of Machine Learning philosophy is presented. In essence, peaks functions are assumed as the pattern of rate of infections at large cities. In this manner, once the free parameters of theses patterns are identified then one proceeds to engage to the well-known Mitchell's criteria in order to construct the algorithm that would yield the best estimates as to carry out social intervention as well as to predict dates ab… Show more

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