With the expansion of big data (BD) in the health and biomedical sectors, intelligent
prediction of medical data promotes early disease identification, patient treatment, and …

Este estudio presenta un análisis sobre la automatización del proceso ETL en la industria
farmacéutica y su integración con modelos predictivos en Power BI. La investigación se …

Big data processing presents itself as a novel and promising analytical field for extracting
useful information from enormous databases. It is used to handle vast volumes of knowledge …

As digital imaging assumes crucial roles in the treatment of MRI images, X-ray images will
be employed for evaluation and to detect tumor growth in the human body in the restorative …

This report presents a comparative analysis of Python, Scala, and Lua for machine learning
tasks, focusing on performance and library availability. The study addresses the gap in …

Using the Gradient boost decision tree (GBDT) algorithm, the classification problem of
children's cognitive level of mathematical knowledge is transformed into the classification …

The amount of created and captured data has been increasing rapidly. Since 2018, the
amount of data generated and collected surpasses 90% of the data produced in the …

With the rapid development and maturity of the smart industry, smart home security systems
are becoming popular. However, problems such as poor optimization under face recognition …

En el presente trabajo se hace una evaluación de las técnicas de aprendizaje automáticos:
Arboles de decisión, Bosques aleatorios, Redes Neuronales y Máquinas de soporte …

With the popularization of the Internet, social media has become one of the most common
communication methods, and a large amount of information is generated on social media at …