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Computational analysis of third-grade liquid flow with cross diffusion effects: application to entropy modeling
(Corporación Universidad de la Costa, 2020)
The key goal of this current study is to analyze the entropy generation with cross diffusion effects. The third-grade type non-Newtonian fluid model is used in this study. The current flow problem is modelled with stretching ...
Approach for the classification of polliniferous vegetation using multispectral imaging and neural networks
(Corporación Universidad de la Costa, 2020)
Beekeeping has suffered a serious deterioration in the regions of the world. The possibility of nectar-polliniferous resources has decreased and, therefore, the feeding of bees, with the consequent decrease in production. ...
Big data and automatic detection of topics: social network texts
(Journal of Physics: Conference Series, 2020)
This paper proposes the analysis of the influence of terms that express feelings in the automatic detection of topics in social networks. This proposal uses an ontology-based methodology which incorporates the ability to ...
Data mining and neural networks to determine the financial market prediction
(Universidad de la Costa, 2020-03-05)
Predicting stock market movements has been a complex task for years by gaining the increasing interest of researchers and investors present all around the world. These have tried to get ahead of the way in order to know ...
Methodology for processing time series using machine learning
(Corporación Universidad de la Costa, 2020)
There are currently countless applications that can be cited in different areas of research and industry, where the data are represented in the form of time series. In the last few years, a dramatic explosion in the amount ...
Time series decomposition using automatic learning techniques for predictive models
(Journal of Physics: Conference Series, 2020)
This paper proposes an innovative way to address real cases of production prediction. This approach consists in the decomposition of original time series into time sub-series according to a group of factors in order to ...
Prediction of the corn grains yield through artificial intelligence
(Corporación Universidad de la Costa, 2021)
Currently, the determination of the quality of the cereals is done manually by grain classifier experts prior to the marketing stage. In this paper we present a web software tool that allows determining the quality level ...
Method for the recovery of images in databases of skin cancer
(Corporación Universidad de la Costa, 2021)
Deep learning is widely used for the classification of images since the ImageNet competition in 2012 (Zaharia et al. in Common ACM 59(11):56–65, 2016, [1]; Tajbakhsh et al. in IEEE Trans Med Imaging 35(5):1299–1312, 2016, ...
Information security in WSN applied to smart metering networks based on cryptographic techniques
(Corporación Universidad de la Costa, 2020-12-04)
The principle assaults on a Wireless Sensor Network (WSN) essentially influence the uprightness and accessibility of the data gathered, for example, Deni-al of Service, Blackhole, Wormhole, and assault on the data being ...
Wireless sensor network for forest fire detection
(Corporación Universidad de la Costa, 2020)
Some methods for fire detection include monitoring from watch towers and the use of satellite images [1] [2]. Unfortunately, these are not efficient due to several reasons, such as high infrastructure costs (sophisticated ...