Julian Miranda

Universidad Pontificia Bolivariana · Facultad de Ingeniería de Sistemas e Informática

Embedding graphic content in multimedia through steganography is a useful and fast practice to hide information. However, detecting the use of this technique is complex and sometimes unsuccessful because variations are not visually perceptible. This article proposes the use of a binary classification model based on artificial neural networks to det...

Purpose The impact of cyberattacks all over the world has been increasing at a constant rate every year. Performing exploratory analysis helps organizations to identify, manage and safeguard the information that could be vulnerable to cyber-attacks. It encourages to the creation of a plan for security controls that can help to protect data and keep...

This paper presents an integrated model for seismic events detection in Colombia using machine learning techniques. Machine learning is used to identify P-wave windows in historic records and hence detect seismic events. The proposed model has five modules that group the basic detection system procedures: the seeking, gathering, and storage seismic...

Embedding graphic content in multimedia by means of steganography is a useful and fast practice to hide information. However, detecting the use of this technique is complex and sometimes unsuccessful because variations are not visually perceptible. This article proposes the use of a binary classification model based on artificial neural networks to...

The digital forensic analysis seeks the application of scientific and statistical techniques to identify, collect, preserve and present the relevant digital evidence that allows the hypothesis to be affirmed or rejected against a possible criminal act. The current methods of digital forensic analysis, although effective for the visual analysis of t...

Early detection of seismic events is fundamental to mitigate the damages produced by these natural phenomena, and mainly, save lives. In this paper, logistic regression models were applied to distinguish between seismic and non-seismic local events considering data segments from four seismological stations (epicenter in the Santander department, Co...

Iridology is the science that aims to identify certain human pathologies through human iris by using manual visual methods. These methods, although they are less invasive, are cumbersome. In this paper, a detailed description of the results obtained by applying an algorithmic approach for the automatic identification, calculation, and computation m...

When capturing images in real environments, there's an incidence of external and internal adverse factors. These factors can cause negative changes in the captured graphical results. By implementing enhancement techniques used in digital image processing, it is possible to achieve an output of greater detail and an attenuation of affectation compon...