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Management model for the logistics and competitiveness of SMEs in the city of Barranquilla
(Universidad de la Costa, 2019)
In Colombia, small and medium-sized enterprises (SMEs) are the most powerful engines of economic development, since they generate a high volume of jobs in the national territory, while diversifying productive, commercial, ...
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. ...
Sentiment analysis in twitter: Impact of morphological characteristics
(Corporación Universidad de la Costa, 2020)
This paper presents a series of experiments aimed at the sentiment analysis on texts posted in Twitter. In particular, several morphological characteristics are studied for the representation of texts in order to determine ...
Data mining and association rules to determine twitter trends
(Corporación Universidad de la Costa, 2020)
Opinion mining has been widely studied in the last decade due to its great interest in the field of research and countless real-world applications. This research proposes a system that combines association rules, generalization ...
A method to rationalize the product portfolio in retail stores
(Corporación Universidad de la Costa, 2020)
Retail store operations face a variety of challenges and complexities. Determining the best assortment is the main problem in the retail store. This re-search presents a practical methodology for the analysis of products ...
Model for predicting academic performance through artificial intelligence
(Corporación Universidad de la Costa, 2020)
During the transit of students in the acquisition of competencies that allow them a good future development of their profession, they face the constant challenge of overcoming academic subjects. According to the learning ...
Impact of class imbalance on convolutional neural network training in multi-class problems
(Corporación Universidad de la Costa, 2020)
Image classification is the process of assigning an image one or multiple tags that describe its content. To perform the classification, a model must be designed for learning the labels to be assigned to a given image. The ...
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, ...