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Comparison of bioinspired algorithms applied to cancer database
(Corporación Universidad de la Costa, 2021)
Cancer is not just a disease; it is a set of diseases. Breast cancer is the second most common cancer worldwide after lung cancer, and it represents the most frequent cause of cancer death in women (Thurtle et al. in: PLoS ...
Mitigation of distortions in radio-over-fiber systems using machine learning
(Corporación Universidad de la Costa, 2021)
Introduction— The ever-growing number of users connected to internet via mobile devices has driven to increase the research in the paradigm of hybrid optical networks called Radio-over-Fiber. These networks take advantages ...
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 ...
Multilayer Perceptron applied to the IOT systems for identification of saline wedge in the Magdalena estuary - Colombia
(2021)
Maritime safety has become a relevant aspect in logistics processes using rivers. In Colombia, specifically in the Caribbean Region, there is the Magdalena River, a body of water that broadly borders the Colombian territory ...
Retraction: time series decomposition using automatic learning techniques for predictive models
(Corporación Universidad de la Costa, 2020)
This article, and others within this volume, has been retracted by IOP Publishing following clear evidence of plagiarism and citation manipulation. This work was originally published in Spanish (1) and has been translated ...
Machine learning approach applied to human activity recognition – an application to the VanKasteren dataset
(Corporación Universidad de la Costa, 2021)
Reminders are a core component of many assistive technology systems and are aimed specifically at helping people with dementia function more independently by compensating for cognitive deficits. These technologies are often ...
Use of the industrial property system in Colombia (2018): A supervised learning application
(Corporación Universidad de la Costa, 2020-06-22)
The purpose of this paper is to establish ways to predict the spatial distribution of the use of the intellectual property system from information on industrial property applications and grants (distinctive signs and new ...
SISME, estuarine monitoring system based on IOT and machine learning for the detection of salt wedge in aquifers: case study of the Magdalena river estuary
(Corporación Universidad de la Costa, 2021-03-29)
This article contains methods, results, and analysis agreed for the development of an application based on the internet of things and making use of machine learning techniques that serves as a support for the identification ...
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 ...