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Machine Learning in Business Intelligence 4.0: Cost Control in a Destination Hotel
Cost control is a recurring problem in companies where studies have provided different solutions. The main objective of this research is to propose and validate an alternative to cost control using data science to support ...
AWS PredSpot: Machine Learning for Predicting the Price of Spot Instances in AWS Cloud
Elastic Cloud Compute (EC2) is one of the most well-known services provided by Amazon for provisioning cloud computing resources, also known as instances. Besides the classical on-demand scheme, where users purchase compute ...
Towards providing effective data-driven responses to predict the covid-19 in são paulo and brazil
(2021-01-02)
São Paulo is the most populous state in Brazil, home to around 22% of the country’s population. The total number of Covid-19-infected people in São Paulo has reached more than 1 million, while its total death toll stands ...
Redesigning COVID 19 care with network medicine and machine learning: A review
Emerging evidence regarding COVID 19 highlights the role of individual resistance and immune
function in both susceptibility to infection as well as severity of disease. Multiple factors
influence the response of the ...
An empirical analysis of homicides in Mexico through Machine Learning and statistical design of experiments
(Universidad de Costa Rica. Centro Centroamericano de Población, 2022)
Machine Learning Based Method for Estimating Energy Losses in Large-Scale Unbalanced Distribution Systems with Photovoltaics
In the recent years, the penetration of photovoltaics (PV) has obviously been increased in unbalanced power distribution systems. Driven by this trend, comprehensive simulation tools are required to accurately analyze ...