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Classification of Tweets Related to Natural Disasters Using Machine Learning Algorithms
(International Journal of Interactive Mobile Technologies (iJIM), 2023)
Abstract—In recent years, computer science has advanced exponentially, helping significantly to identify and classify text extracted from social networks, specifically Twitter. This work identifies, classifies, and analyzes ...
Acceso abierto
Predictive machine learning applying cross industry standard process for data mining for the diagnosis of diabetes mellitus type 2
(IAES International Journal of Artificial Intelligence (IJ-AI), 2023)
Currently, type 2 diabetes mellitus is one of the world's most prevalent diseases and has claimed millions of people's lives. The present research aims to know the impact of the use of machine learning in the diagnostic ...
Acceso abierto
Application of Machine Learning Models for Early Detection and Accurate Classification of Type 2 Diabetes
(MDPI, 2023)
Early detection of diabetes is essential to prevent serious complications in patients. The purpose of this work is to detect and classify type 2 diabetes in patients using machine learning (ML) models, and to select the ...
Acceso abierto
Machine Learning Analysis in the Prediction of Diabetes Mellitus: A Systematic Review of the Literature
(Springer Link, 2023)
In recent years, diabetes mellitus has increased its prevalence in the global landscape, and currently, due to COVID-19, people with diabetes mellitus are the most likely to develop a critical picture of this disease. In ...
Acceso restringido
Quantum Displacements Dictated by Machine Learning Principles: Towards Optimization of Quantum Paths
(Springer Link, 2023)
In Physics the energy of any system represents a sensitive variable because of it depends the functionality and evolution of system at time. Thus the deep knowledge of the interactions of system might be a remarkable ...
Acceso restringido
A Comprehensive Systematic Review of Neural Networks and Their Impact on the Detection of Malicious Websites in Network Users
(International Journal of Interactive Mobile Technologies (iJIM), 2023)
The large branches of Machine Learning represent an immense support for the detection of malicious websites, they can predict whether a URL is malicious or benign, leaving aside the cyber attacks that can generate ...
Acceso abierto