Cesar Hernández
Biographic Data
| ID | 10119172 |
|---|---|
| NAME | Cesar Hernández |
| GIVEN NAMES | Cesar |
| FAMILY NAME | Hernández |
| SIGNATURE | HERNÁNDEZ C |
| AFFILIATIONS | District University of Bogotá |
| ORCID | 0000-0001-9409-8341 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Application of convolutional neural networks for mobile internet forecasting in Colombia
The growth of mobile Internet has facilitated access to information by minimizing geographical barriers. For this reason, this paper forecasts the number of users, incomes, and traffic for operators with the most significant penetration in the mobile internet market in Colombia to analyze their market growth. For the forecast, the convolutional neural network (CNN) technique is used, combined with the recurrent neural network (RNN), long short-te…
Research and Technology for the Social Inclusion of People with Hearing Impairment
People with hearing impairments face challenges that affect their communication and social inclusion. Sign language is a key communication system that improves the level of social inclusion of the hearing-impaired population. To address this, our collaborative work aims to develop a technological tool that enhances the initial learning of sign language in children with hearing impairments. This tool, developed with the use of information and comm…
The Role of Battery Energy Storage in Colombia’s Sustainable Energy Transition
This paper explores the integration of Battery Energy Storage Systems (BESS) in Colombia’s power grid as a socio- environmental solution for the country’s renewable energy transition. Given Colombia’s increasing reliance on solar energy, the intermittency of this source presents challenges that demand sustainable energy storage solutions. This study analyzes the role of BESS not only in technical terms but also from an eco-humanistic perspective,…
Measuring concentration in the Colombian telecommunications market
Telecommunications markets have a giant impact on countries’ economies. An example of this is the great potential offered by the internet service, which allows growth in various aspects such as productivity, education, health, and connectivity. A few companies dominate telecommunications markets, so there is a high market concentrations risk. In that sense, the state has to generate strong regulation in the sector. Models for measuring competitio…
Prediction of telecommunications market behavior based on LSTM models
The telecommunications services market faces essential challenges in an increasingly flexible and customer-adaptable environment. Research has highlighted that the monopolization of the spectrum by one operator reduces competition and negatively impacts users and the general dynamics of the sector. This article aims to present a proposal to predict the number of users, the level of traffic, and the operators’ income in the telecommunications mark…
Estimation of the Linda index prediction based on deep learning models
Recognizing the importance of competition analysis in telecommunications markets is essential to improve conditions for users and companies. Several indices in the literature assess competition in these markets, mainly through company concentration. Artificial Intelligence (AI) emerges as an effective solution to process large volumes of data and manually detect patterns that are difficult to identify. This article presents an AI model based on t…
Prediction analysis of the Herfindahl-Hirschman index based on recurrent neural networks
The technological development and growth of the telecommunications industry have had a great positive impact on the education, health, and economic sectors, among others. However, they have also increased rivalry between companies in the market to keep and acquire new customers. A lower level of market concentration is related to a higher level of competitiveness among companies in the sector that drives a country’s socioeconomic development. To …
Linda index forecast based on Arima time series
Competition in the telecommunications market has significant benefits and impacts in various fields of society such as education, health and the economy. Therefore, it is key not only to monitor the behavior of the concentration of the telecommunications market but also to forecast it to guarantee an adequate level of competition. This work aims to forecast the Linda index of the telecommunications market based on an ARIMA time series model. To a…
No prominent works on this page.
Research and Technology for the Social Inclusion of People with Hearing Impairment
People with hearing impairments face challenges that affect their communication and social inclusion. Sign language is a key communication system that improves the level of social inclusion of the hearing-impaired population. To address this, our collaborative work aims to develop a technological tool that enhances the initial learning of sign language in children with hearing impairments. This tool, developed with the use of information and comm…
The Role of Battery Energy Storage in Colombia’s Sustainable Energy Transition
This paper explores the integration of Battery Energy Storage Systems (BESS) in Colombia’s power grid as a socio- environmental solution for the country’s renewable energy transition. Given Colombia’s increasing reliance on solar energy, the intermittency of this source presents challenges that demand sustainable energy storage solutions. This study analyzes the role of BESS not only in technical terms but also from an eco-humanistic perspective,…
Measuring concentration in the Colombian telecommunications market
Telecommunications markets have a giant impact on countries’ economies. An example of this is the great potential offered by the internet service, which allows growth in various aspects such as productivity, education, health, and connectivity. A few companies dominate telecommunications markets, so there is a high market concentrations risk. In that sense, the state has to generate strong regulation in the sector. Models for measuring competitio…
Prediction of telecommunications market behavior based on LSTM models
The telecommunications services market faces essential challenges in an increasingly flexible and customer-adaptable environment. Research has highlighted that the monopolization of the spectrum by one operator reduces competition and negatively impacts users and the general dynamics of the sector. This article aims to present a proposal to predict the number of users, the level of traffic, and the operators’ income in the telecommunications mark…
Estimation of the Linda index prediction based on deep learning models
Recognizing the importance of competition analysis in telecommunications markets is essential to improve conditions for users and companies. Several indices in the literature assess competition in these markets, mainly through company concentration. Artificial Intelligence (AI) emerges as an effective solution to process large volumes of data and manually detect patterns that are difficult to identify. This article presents an AI model based on t…
Prediction analysis of the Herfindahl-Hirschman index based on recurrent neural networks
The technological development and growth of the telecommunications industry have had a great positive impact on the education, health, and economic sectors, among others. However, they have also increased rivalry between companies in the market to keep and acquire new customers. A lower level of market concentration is related to a higher level of competitiveness among companies in the sector that drives a country’s socioeconomic development. To …
Linda index forecast based on Arima time series
Competition in the telecommunications market has significant benefits and impacts in various fields of society such as education, health and the economy. Therefore, it is key not only to monitor the behavior of the concentration of the telecommunications market but also to forecast it to guarantee an adequate level of competition. This work aims to forecast the Linda index of the telecommunications market based on an ARIMA time series model. To a…
Application of convolutional neural networks for mobile internet forecasting in Colombia
The growth of mobile Internet has facilitated access to information by minimizing geographical barriers. For this reason, this paper forecasts the number of users, incomes, and traffic for operators with the most significant penetration in the mobile internet market in Colombia to analyze their market growth. For the forecast, the convolutional neural network (CNN) technique is used, combined with the recurrent neural network (RNN), long short-te…
Computer Science (7 works) · World Wide Web (4 works) · Artificial Intelligence (3 works) · Artificial neural network (3 works) · Econometrics (3 works) · Economics (3 works) · Business (2 works) · Customer churn and segmentation (2 works) · ICT Impact and Policies (2 works) · Mathematics (2 works)