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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 ...
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 ...
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. ...
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 ...
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 ...
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, ...
Classification of digitized documents applying neural networks
(Universidad de la Costa, 2020-03-05)
The exponential increase of the information available in digital format during the last years and the expectations of future growth make it necessary for the organization of information in order to improve the search and ...
Multi-dimension Tensor Factorization Collaborative Filtering Recommendation for Academic Profiles
(International Symposium on Neural Networks, 2019-06-26)
The choice of academic itineraries and/or optional subjects to attend is not usually an easy decision since, in most cases, students lack the information, maturity, and knowledge required to make right decisions. This paper ...
An Early Warning Method for Basic Commodities Price Based on Artificial Neural Networks
(International Symposium on Neural Networks, 2019-06-26)
The prices of products belonging to the basic family basket are an important component in the income of producers and consumer spending; its excessive variations constitute a source of uncertainty and risk that affects ...
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 ...