D Ramı́rez
Biographic Data
| ID | 8343293 |
|---|---|
| NAME | D Ramı́rez |
| GIVEN NAMES | D |
| FAMILY NAME | Ramı́rez |
| SIGNATURE | RAMIREZ D |
| AFFILIATIONS | District University of Bogotá |
| ORCID | 0000-0001-9983-4555 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
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…
No prominent works on this page.
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…
Computer Science (2 works) · Customer churn and segmentation (2 works) · Artificial Intelligence (1 work) · Artificial neural network (1 work) · Consumer Market Behavior and Pricing (1 work) · Data mining (1 work) · Deep learning (1 work) · Econometrics (1 work) · Economics (1 work) · Energy Load and Power Forecasting (1 work)