[PDF][PDF] Convolutional neural networks on assembling classification models to detect melanoma skin cancer

H Vega-Huerta, R Villanueva-Alarcón… - … Journal of Online and …, 2022 - researchgate.net
In 2020, there were more than 1.2 million new skin cancer diagnoses, and melanoma was
the most recurrent type of cancer. On the other hand, melanoma is the least common but …

Integration of the enterprise information to facilitate decision making

M Hilario, D Esenarro, H Vega… - The journal of …, 2021 - cibgp.com
The research objective is to apply business intelligence techniques to take advantage of an
existing system's conditions and increase the low-cost capabilities in its Extract, Transform …

Deep learning audio spectrograms processing to the early COVID-19 detection

CR Rodriguez, D Angeles, R Chafloque… - 2020 12th …, 2020 - ieeexplore.ieee.org
The objective of the paper is to provide a model capable of serving as a basis for retraining a
convolutional neural network that can be used to detect COVID-19 cases through …

Systematic Literature Review of Sentiment Analysis Techniques

M Hilario, D Esenarro, I Petrlik… - The journal of …, 2021 - cibgp.com
Sentiment analysis has become an important research area that aims to understand
people's opinions by analyzing a large size of information. There are two types of sentiment …

Deep learning applied to capacity control in commercial establishments in times of COVID-19

CR Rodriguez, D Luque, C La Rosa… - 2020 12th …, 2020 - ieeexplore.ieee.org
This research paper was developed to implement an intelligent solution for This research
paper was developed to implement an intelligent solution for the control of the capacity of …

Predictive Neural Networks Model for Detection of Water Quality for Human Consumption

R Chafloque, C Rodriguez… - 2021 13th …, 2021 - ieeexplore.ieee.org
Water is an important element that is related to the human being because drinking water is a
necessary element for health, also drinking water is considered as an element that also …

Engagement emotion classification through facial landmark using convolutional neural network

ANR Paidja, FA Bachtiar - 2022 2nd International Conference …, 2022 - ieeexplore.ieee.org
The concept of engagement is the way people are involved in an activity that relates to
emotional feelings and attention. In an e-learning environment, engagement can be used as …

[PDF][PDF] Comparative analysis of supervised machine learning algorithms for heart disease detection

HD Huapaya, C Rodriguez, D Esenarro - 3C Tecnologia, 2020 - academia.edu
This paper describes the most prominent algorithms of Supervised Machine Learning (SML),
their characteristics, and comparatives in the way of treating data. The Heart Disease …

Processing of Images Based on Machine Learning to Avoid Unauthorized Entry

C Peña, C Rodriguez, IA Romero - 2022 14th International …, 2022 - ieeexplore.ieee.org
The proposal of a facial recognition system to increase security, through facial recognition
with multiple utilities such as facilitating the access of people with adequate protection …

Convolutional Neural Networks and YOLOv5 for the Detection of License Plates in Digital Photographic Images

GEM Zegarra, CR Rodriguez… - 2023 IEEE 15th …, 2023 - ieeexplore.ieee.org
In this research, a dataset of two thousand images was obtained, which were taken through
a speed camera to vehicles in the city of Lima, Peru, with the purpose of detecting license …