About
18
Publications
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109
Citations
Introduction
Current institution
Additional affiliations
January 2021 - February 2021
June 2012 - December 2013
Position
- Coordinador / Planeador Eléctrico
Description
- Planificación y gestión de proyectos de mejoras, labores y personal de mantenimiento eléctrico en el área de molinos de clinker.
Education
January 2017 - December 2019
August 2014 - January 2017
March 2007 - March 2013
Publications
Publications (18)
Marine steel structures face severe corrosion risks due to harsh environmental conditions, posing significant logistical, economic, and safety challenges for inspection and maintenance. Traditional corrosion assessment methods are costly, labor-intensive, and potentially hazardous. This study evaluated the capabilities of visible-to-near-infrared h...
Harmful algae blooms (HABs) pose critical threats to aquatic ecosystems and human economies, driven by their rapid proliferation, oxygen depletion capacity, toxin release, and biodiversity impacts. These blooms, increasingly exacerbated by climate change, compromise water quality in both marine and freshwater ecosystems, significantly affecting mar...
Over the past decade, an increase in global connectivity and social media users has changed the way in which opinions and sentiments are shared. Platforms such as Twitter can act as public forums for expressing opinions on non-personal matters, but often also as an outlet for individuals to share their feelings and personal thoughts. This becomes e...
For decades, researchers have experimented with the possibility that machines can equal human linguistic capabilities. Recently, advances in the field of natural language processing (NLP) as well as a substantial increase in available naturally occurring linguistic data on social media platforms have made more advanced methodologies such as sentime...
5G has become a reality in Latin America and it is expected to boost the digital revolution with key capabilities, including higher speeds and ultra-low latency, thus enabling innovative solutions and socioeconomic development. But its deployment faces many challenges related to, among other factors, spectrum allocation and infrastructure deploymen...
Hyperspectral imaging has become a valuable remote sensing tool due to the development of advanced remote acquisition systems with high spatial and spectral resolution, and the continuous developments on more efficient computing resources to handle the high volume of data. For this reason, hyperspectral image analysis has found important uses in pr...
The Compressive Sensing (CS) framework has demonstrated improved acquisition efficiency on a variety of clinical applications. Of interest to this work is Reflectance Confocal Microscopy (RCM), where CS can influence a drastic reduction in instrumentation complexity and image acquisition times. However, CS introduces the disadvantage of requiring a...
Compressive Sensing enables improvement of acquisition of a variety of signals in various applications with little to no discernible loss in terms of recovered image quality. The current work proposes a signal processing framework for the acquisition and fast reconstruction of compressively sampled hyperspectral images using an artificial neural ne...
Multispectral imaging devices currently being used in a variety of applications typically follow opto-mechanical designs. These designs often present the disadvantage of a bulky and heavy construction, limiting their applicability in new low-altitude remote sensing applications deployed on acquisition systems with constrained weight and dimension r...
Multispectral imaging devices currently being used in a variety of applications typically follow opto-mechanical designs. These designs often present the disadvantage of a bulky and heavy construction, limiting their applicability in new low-altitude remote sensing applications deployed on acquisition systems with constrained weight and dimension r...
Hyperspectral images (HSIs) contain spectral information on the order of hundreds of different wavelengths, providing information beyond the visible range. Such spectral sensitivity is often used for the classification of objects of interest within a spatial scene in fields, such as studies of the atmosphere, vegetation and agriculture, and coastal...
When high levels of urban development, and erratic patterns of high precipitation combine in a small geographical area, there is a significant increase in the risk of human and/or material losses due to flooding and related incidents. With the objective of providing a method for the estimation of precipitation patterns in an area with a high risk o...
Hyperspectral Images' data structure contains information from spectral ranges far beyond the limits of conventional, visible light imaging devices. This additional information comes at the cost of having unwieldy large image sizes, which presents an important computational resource consideration for many applications. Recent studies have shown tha...
Compressive Sensing is an area of great recent interest for efficient signal acquisition, manipulation and reconstruction tasks in areas where sensor utilization is a scarce and valuable resource. The current work shows that approaches based on this technology can improve the efficiency of manipulation, analysis and storage processes already establ...
Compressive Sensing (CS)-based technologies have shown potential to improve the efficiency of acquisition, manipulation, analysis and storage processes on signals and imagery with slight discernible loss in data performance. The CS framework relies on the reconstruction of signals that are presumed sparse in some domain, from a significantly small...
Compressed sensing (CS) is a rapidly growing field, attracting considerable attention in many areas from imaging to communication and control systems. This signal processing framework is based on the reconstruction of signals, which are sparse in some domain, from a very small data collection of linear projections of the signal. The solution to the...
