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Electrical consumption patterns through machine learning
(Journal of Physics: Conference Series, 2020)
Electricity distribution companies have been incorporating new technologies that allow them to obtain complete information in real time about their customers´ consumption. Thus, a new concept called "Smart Metering" has ...
Intellectual property in colombian museums: an application of machine learning
(Universidad de la Costa, 2019)
The purpose of this research is to answer the following guiding question: how can the behavior of museum networks in Colombia be predicted with respect to the protection of intellectual property (copyright, confidential ...
Diabetes diagnostic prediction using vector support machines
(Procedia Computer Science, 2020)
The most important factors for the diagnosis of diabetes mellitus (DM) are age, body mass index (BMI) and blood glucose concentration. Diagnosis of DM by a doctor is complicated, because several factors are involved in the ...
Supervised and unsupervised learning applied to crowdfunding
(Universidad de la Costa, 2020-01-07)
This paper aims to establish the participation behavior of residents in the city of Bogotá between 25 and 44 years of age, to finance or seek funding for entrepreneurial projects through crowdfunding? In order to meet the ...
Machine learning applied to the h index of colombian authors with publications in scopus
(Universidad de la Costa, 2019)
Our research aims to establish how to predict the H index of Colombian authors with publications in Scopus until 2016. The selection of the date was because, as mentioned earlier, the number of documents indexed per year ...
Design of a network with VANET sporadic cloud computing applied to traffic accident prevention
(Corporación Universidad de la Costa, 2020-07-19)
The study analyzes the bandwidth available in a segment of route in the VANET network, since this value directly affects sporadic cloud computing. For this purpose, the bandwidth was tested on a highly complex urban scenario, ...