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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. ...
Psychosocial analysis of policy confidence through multifactorial statistics
(Universidad de la Costa, 2020-12-07)
Trust is defined as widespread belief or rooted value orientation in evaluative standards of technical and ethical competence, and in the future actions of a person (interpersonal trust) or an institution (institutional ...
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 ...
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, ...
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, ...
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 ...
Identification of author profiles through social networks
(Corporación Universidad de la Costa, 2021)
The aim of this paper is to compile dictionaries of slang words, abbreviations, contractions, and emoticons to help the pre-processing of texts published in social networks. The use of these dictionaries is intended to ...
Model for predicting academic performance in virtual courses through supervised learning
(Corporación Universidad de la Costa, 2021)
Since virtual courses are asynchronous and non-presential environments, the following of student tasks can be a hard work. Virtual Education and Learning Environments (VELE) often provide tools for this purpose (Zaharia ...
Engineering teaching: simulation, industry 4.0 and big data
(Universidad de la Costa, 2020-02-07)
In the educational field, there is a paradigm shift, where the focus is on the student and his active role in the training process, and where there is a turn that involves moving from content teaching to the training of ...