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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 ...
Parallel algorithm for reduction of data processing time in big data
(Journal of Physics: Conference Series, 2020)
Technological advances have allowed to collect and store large volumes of data over the years. Besides, it is significant that today's applications have high performance and can analyze these large datasets effectively. ...
Newtonian Heating Effects of Oldroyd-B Liquid Flow with Cross-Diffusion and Second Order Slip
(Corporación Universidad de la Costa, 2020-07-13)
The current study highlights the Newtonian heating and second-order slip velocity with cross-diffusion effects on Oldroyd-B liquid flow. The modified Fourier heat flux is included in the energy equation system. The present ...
Neural networks for tea leaf classification
(Journal of Physics: Conference Series, 2020)
The process of classification of the raw material, is one of the most important procedures in any tea dryer, being responsible for ensuring a good quality of the final product. Currently, this process in most tea processing ...
Applying a business intelligence system in a big data context: production companies
(Universidad de la Costa, 2020-01-07)
Industry 4.0 promotes automation through computer systems of the manufacturing industry and its objective is the Smart Factory. Its development is considered a key factor in the strategic positioning not only of companies, ...
Measuring the financial performance of MSMEs through artificial neural network
(Universidad de la Costa, 2020)
Given the importance of micro, small and medium-sized enterprises (MSMEs) in Colombia, both in terms of the number of enterprises and the generation of employment, it is important to know their nature, as well as the main ...
Studies on strength characteristics of black cotton soil by using novel SiO2 combination as a stabilizing agent
(Corporación Universidad de la Costa, 2020)
The rapid growth in industrialization and population leads to generation of large quantity of wastes, some materials were containing high silica contents is damped as a waste. In this study such damped silica wastes from ...
The Goal Programming as a Tool for Measuring the Sustainability of Agricultural Production Chains of Rice
(International Symposium on Neural Networks, 2019-06-26)
Agricultural activity is characterized by an intensive use of capital and a considerable dependence on external financing. Access to credit is often limited by the scarcity of resources and lack of guarantees, seriously ...
Method for classifying images in databases through deep convolutional networks
(Corporación Universidad de la Costa, 2020)
Since 2006, deep structured learning, or more commonly called deep learning or hierarchical learning, has become a new area of research in machine learning. In recent years, techniques developed from deep learning research ...
Data sciences and teaching methods—learning
(Universidad de la Costa, 2020-03-05)
Data Science (DS) is an interdisciplinary field responsible for extracting knowledge from the data. This discipline is particularly complex in the face of Big Data: large volumes of data make it difficult to store, process ...