Himer Avila-George

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• PhD in Informatics
• Professor at University of Guadalajara

Estos volúmenes ofrecen un panorama detallado de las capacidades y recursos institucionales, destacando el compromiso de la UDG con la generación de conocimiento y la innovación científica. Constituyen una herramienta valiosa para fomentar la colaboración académica, fortalecer proyectos interdisciplinarios y posicionar a nuestra Universidad como re...

Multispectral drone imagery dataset for plus and non-plus Neltuma pallida trees in northern Peru, Data in Brief (2025), doi: https://doi.org/10.1016/j.dib.2025.111645

In the sustainable packaging industry, multiple parameters require regulation to achieve a high-quality final product that meets contemporary demands. In bioplastic manufacturing , the control of the film thickness is critical because it influences the mechanical properties and other key characteristics. Terahertz time-domain spectroscopy (THz-TDS)...

Food preservation and safety require advanced detection methods to ensure transparency in supply chains. Terahertz (THz) spectroscopy has emerged as a powerful, non-invasive tool for material characterization. This study explores the integration of THz spectroscopy and machine learning for accurately quantifying maize starch adulteration in bioplas...

This is a collection of multispectral images of algarrobo trees captured using a multispectral Phantom 4 RTK drone from January to October 2023. The images are categorized into two classes, labeled as seed trees ("plus") and non-seed trees ("no plus"), with each class containing five hundred images in *.mat format, numbered consecutively. The main...

Seasonally dry forests require tailored strategies to combat deforestation and desertification, particularly for the conservation of protected tree species. Efforts to defend protected flora involve the maintenance of an inventory of seed-producer trees ( plus trees), with the aim of making informed decisions in specific zones. In this paper, a met...

Among the many seafood products susceptible to food fraud, octopus (Octopus mimus) is often replaced by giant squid (Dosidicus gigas) due to its higher market value and desirable nutritional and sensory properties. As a result, the development of rapid and noninvasive techniques for food quality assessment is of significant interest to the food ind...

En la enseñanza de la ingeniería de software, la gamificación se ha utilizado para apoyar el aprendizaje de lenguajes de programación, procesos, métodos de prueba y aseguramiento de la calidad. Aunque los resultados empíricos tienden a ser positivos, existen pocos estudios que permitan evaluar rigurosamente las aplicaciones gamificadas. En este tra...

Resumen Las técnicas de percepción remota por satélite han cambiado radicalmente la forma de supervisar y estudiar los cultivos. Uno de dichos cultivos que se puede beneficiar enormemente de esta tecnología es el de Agave tequilana Weber var. Azul, utilizada para producir tequila. Sentinel-2, el satélite de la Agencia Espacial Europea, está equipad...

En este estudio, se realizó un análisis exploratorio para evaluar la correlación entre las concentraciones de clorofila a, b y a+b con la reflectancia de las hojas de árboles de arce. Se analizaron las relaciones entre estas concentraciones y las mediciones obtenidas con los sensores RAMIS y SPAD-502, identificando los factores más relevantes para...

Resumen Bolivia cuenta con gran riqueza natural y una extensa cultura indígena. El cambio climático en esta región ha provocado lluvias torrenciales, sequías prolongadas, temperaturas extremas y pérdidas económicas, en consecuencia los procesos migratorios han aumentado en las últimas décadas. En esta investigación se pretende determinar si existe...

En este capítulo se examina el impacto de la inteligencia artificial en los derechos humanos a través de un análisis documental. Los hallazgos del estudio evidencian que existen desafíos significativos planteados por las tecnologías, entre ellos el reconocimiento facial y la vigilancia masiva de la privacidad. También se identifican riesgos de sesg...

Recently, artificial intelligence models applied to the detection of melanoma have shown promising results. However, the adoption of these technologies is hampered by a lack of transparency in automatic decision-making. To address this problem, Explainable Artificial Intelligence (XAI) is emerging, which seeks to reduce gaps by providing mechanisms...

Mango is a highly diverse tropical fruit with numerous varieties that differ in flavor, texture, and chemical composition. Consequently, identifying fraudulent substitutions of mango varieties poses a significant challenge using traditional techniques. Therefore, there is an increasing need for new methods to discriminate between mango varieties. H...

Currently, coffee fermentation is visually operated, which results in incomplete or excessive processes and coffees with undesirable characteristics. In front of it, pH and total soluble solids (TSS) have been shown to be good fermentation indicators, although this requires rapid, accurate, and chemical-free measurement techniques such as NIR spect...

Las organizaciones de desarrollo de software están adoptando el enfoque DevOps como una estrategia para mantenerse competitivas. El impacto de estas iniciativas se relaciona con la reducción del tiempo de desarrollo mientras se mantiene la calidad del software. Sin embargo, pocos trabajos han señalado específicamente qué aspectos de la calidad se h...

Spices and other food products have been permanently susceptible to adulteration, affecting safety and acceptability when commercialized. A relevant alternative to detect contaminants in food products is to couple near-infrared spectroscopy (NIR) with chemometrics. Among the most accurate chemometric techniques employed to analyze food products, pa...

Este artículo explora los desafíos que enfrentan los científicos de percepción remota y visión por computadora en el procesamiento de imágenes de satélite, especialmente cuando la escena está afectada por factores ambientales como el clima, nubes y la contaminación. En particular, se aborda el problema de “huecos” en la información capturada por el...

Existe un creciente interés por parte de diversos actores de la sociedad por impulsar el desarrollo de energía eléctrica a través de fuentes renovables, como las plantas solares, debido a la necesidad de mitigar los efectos negativos del uso de combustibles fósiles en el medio ambiente y combatir el cambio climático. Esta preocupación ha llevado a...

Las técnicas de percepción remota por satélite han cambiado radicalmente la forma de supervisar y estudiar los cultivos. Uno de dichos cultivos que se puede beneficiar enormemente de esta tecnología es el de Agave tequilana weber variedad azul, utilizada para producir tequila. Sentinel-2, satélite de la Agencia Espacial Europea, está equipado con s...

In recent years, software’s evolution, advancement, use, and development have significantly impacted organizations’ and people’s functioning, structure, and strategy worldwide. In this sense, the advance of computers, and mobile devices, among others, has led to the creation of new areas of knowledge to improve the operation and application of sof...

Sistema de visión por computadora para el conteo de plantas de agave usando la red neuronal YOLO e imágenes adquiridas desde un vehículo aéreo no tripulado

In the last two decades, hyperspectral images have been studied for use in food quality analysis using neural network-based chemometric techniques such as radial basic neural network (RBNN) in classification tasks or multilayer perceptron (MLP) for prediction ones. However, recently, deep learning techniques are receiving special interest as those...

Sistema de visión por computadora para la inspección de plantas fotovoltaicas usando imágenes térmicas adquiridas desde un vehículo aéreo no tripulado

This paper introduces a new approach to controlling Pressure Swing Adsorption (PSA) using a neural network controller based on a Model Predictive Control (MPC) process. We use a Hammerstein–Wiener (HW) model representing the real PSA process data. Then, we design an MPC-controlled model based on the HW model to maintain the bioethanol purity near 9...

Over the last two decades, the viability of hyperspectral imaging (HSI) technology as a tool for determining food quality has been established. This technology has been successfully combined with chemometric tools and image-processing techniques to enhance its effectiveness. Despite the advances in imaging technology, significant challenges related...

The rising interest in quinoa ( Chenopodium quinoa Willd.) is due to its high protein content and gluten-free condition; nonetheless, the presence of foreign bodies in quinoa processing facilities is an issue that must be addressed. As a result, convolutional neural networks have been adopted, mostly because of their data extraction capabilities, w...

This research work aims to identify the prevalent anchors in the professional accounting career using the Schein scale and to describe the prevalent anchors by defining the values, attitudes, aptitudes, skills, and interests. Career anchors are defined by the competence, motivation, and values a person has to perform a particular job in an organiza...

La invención consiste en un método y un sistema para la detección y clasificación de ladridos.

La calidad y seguridad de los productos hidrobiológicos congelados-refrigerados depende de la eficiencia de la cadena de frío; por tanto, existe interés creciente en la discriminación de productos sometidos a cadenas de frío ineficientes, evitando así intoxicaciones alimentarias y pérdida de productos. Para este propósito, los sistemas de visión po...

Nowadays, it is mandatory to test the functionality of any software component. In this sense, Covering Arrays (CAs) have been used as test-suites to exercise combinations of parameters’ values. However, in some software components, the functionality depends not only on the combination of parameter values but also on how the parameters’ values are f...

This paper proposes an approach to fill in missing data from satellite images using data-intensive computing platforms. The proposed approach merges satellite imagery from diverse sources to reduce the impact of the holes in images that result from acquisition conditions: occlusion, the satellite trajectory, sunlight, among others. The amount of co...

In combinatorial optimization, the more complex a problem is, the more challenging it becomes, usually causing most research to focus on creating solvers for larger cases. However, real-life situations also contain small-sized instances that deserve a researcher’s attention. For example, within a web development context, a developer might face smal...

Near-Infrared Spectroscopy (NIRS) has shown to be helpful in the study of rice, tea, cocoa, and other foods due to its versatility and reduced sample treatment. However, the high complexity of the data produced by NIR sensors makes necessary pre-treatments such as feature selection techniques that produce compact profiles. Supervised and unsupervis...

Esta investigación aporta nueva información aplicando técnicas de aprendizaje profundo en cultivos de agave. Se pretende el desarrollo de un algoritmo de aprendizaje profundo basado en redes neuronales convolucionales que automatice el conteo de las plantas de agave de un cultivo a partir de imágenes tomadas desde vehículo aéreo no tripulado, el co...

Resumen El fuego forma parte del ciclo de vida de los ecosistemas; sin embargo, la alta frecuencia e intensidad de los incendios forestales merma la biodiversidad y conlleva una notable reducción de las funciones que cumplen las áreas afectadas. El exceso de biomasa forestal es un elemento involucrado en la incidencia y extensión de incendios. Pleu...

The Pfeiffer circular chromatography (PCC) is a qualitative analysis technique that provides microbiological, mineral, and organic matter of the health status of a soil. This paper addresses the building of a data set conformed by PCC images from different types of soils, based on the following three variables: acidity, electrical conductivity, and...

The objective of the research was to identify some social restrictions and the effect of the drop in demand and supply caused by the health crisis. The methodology applied for the study was qualitative bibliographic analysis, concluding that the informal sector has been showing repercussions such as a decrease in income, cessation of activities, in...

This book contains a selection of papers from the 2021 International Conference on Software Process Improvement (CIMPS’21), held between the 20th and 22th of October in Torreón Coahuila, México as virtual venue. The CIMPS’21 is a global forum for researchers and practitioners that present and discuss the most recent innovations, trends, results, ex...

La generación de Residuos de Aparatos Eléctricos y Electrónicos (RAEE) aumenta un 10% cada año y se estima que para el 2030 se generen cerca de 74.7 Mt. Para 2016, México produjo 1 Mt y para el año siguiente 1.1 Mt, según estos datos para 2026 nuestro país habrá generado más de 1.3 Mt. Los RAEE son un riesgo para el medio ambiente y para la salud a...

The SARS-CoV-2 virus that causes COVID-19 affects the respiratory tract and is highly infectious. Those patients who knew that the disease could cause death or that their healing process is quite painful because of the symptoms and conditions developed extreme stress, anxiety, and depression, which aggravated the effects of the disease. Therefore,...

The combinatorial design, known as covering array, has been used mainly to exercise tests for software and hardware components. It has also been used in machine learning applications and the design of experiments for various applications. In this paper, a new approach to construct covering arrays is defined; it is called CAEX (stands for Covering A...

Después que la Organización Mundial de la Salud declaró como pandemia el brote del Coronavirus (COVID-19), el gobierno peruano tomó medidas preventivas para contrarrestar la propagación del virus a través de la emisión del Decreto Supremo No. 008-2020-SA. Este decreto contiene las medidas de prevención y control orientadas a los puertos, aeropuerto...

Computer-aided diagnosis is a research area of increasing interest in third-level pediatric hospital care. The effectiveness of surgical treatments improves with accurate and timely information, and machine learning techniques have been employed to assist practitioners in making decisions. In this context, the prediction of the discharge diagnosis...

In marketing, there is a notable lack of models, which leads to the loss of potential customers since there is no feedback for improvement in the marketing strategy. In the face of the Internet revolution, this study used digital channels and interaction to achieve potential customer retention through a Funnel; this allowed a potential client to go...

Uno de los grandes problemas de la humanidad es la excesiva cantidad de residuos que se generan a nivel mundial; por lo tanto, es de vital importancia no sólo reducirlos sino también transformarlos en nuevos productos. Aproximadamente, el 50% de los residuos generados en las ciudades son orgánicos, para darles un valor agregado se pueden transforma...

Although knowledge of the microstructure of food of vegetal origin helps us to understand the behavior of food materials, the variability in the microstructural elements complicates this analysis. In this regard, the construction of learning models that represent the actual microstructures of the tissue is important to extract relevant information...

One of humanity's great problems is the excessive amount of waste generated worldwide; therefore, it is of vital importance not only to reduce it but also to transform it into new products. Approximately 50% of the waste generated in cities is organic, which can be transformed into compost to give it added value. This paper presents the design of a...

En este artículo se describe el proceso de desarrollo de un prototipo para la detección de ira mediante el procesamiento y análisis de electroencefalograma (EEG) e imágenes con expresiones faciales. El prototipo fue desarrollado en Python y está dividido en funciones las cuales permiten la creación de modelos de clasificación de las bandas de EEG y...

En los últimos años, se ha popularizado el uso de vehículos aéreos no tripulados en el desarrollo de aplicaciones agrícolas y forestales. Debido a la importancia de los cultivos tanto en entornos rurales como urbanos, la extracción de información a partir de datos obtenidos por sensores remotos es un área de investigación relevante. Dicha informaci...

Los artículos presentados en este número fueron seleccionados de los artículos aceptados en el Octavo Congreso Internacional de Mejora de Procesos Software (CIMPS) 2019, realizado en la Ciudad de León, Guanajuato, México del 23 al 25 de Octubre del 2019. Este congreso ha tenido una tasa de aceptación del 30% de los artículos enviados. Los artículo...

Cadena de procesado automático de imágenes multiespectrales para obtener el índice de área foliar

This chapter introduces the use of correlation, association and regression applied to the analysis of instrumental data in food analysis. Data analysis methods used in food research typically start with a pre-treatment and then an exploratory data analysis, i.e., use unsupervised learning techniques to find groups of samples that share certain feat...

Partial Least Square Regression (PLSR) is considered useful for constructing prediction equations when there are many explanatory variables and comparatively few training samples; mainly because of the method is it possible to combine the advantages from Principal Component Analysis and the multiple regression analysis. Most of the initial applicat...

In this paper, we describe the process that we used to create a new corpus of children’s emotional speech. We used a Wizard of Oz (WoZ) setting to induce different emotional reactions in children during speech-based interactions with two robots. We recorded the speech spoken in Mexican Spanish by 174 children (both sexes) between 6 and 11 years of...

This paper explores five multivariate techniques for information fusion on sorting the visual ripeness of Cape gooseberry fruits (principal component analysis, linear discriminant analysis, independent component analysis, eigenvector centrality feature selection, and multi-cluster feature selection.) These techniques are applied to the concatenated...

The use of machine learning techniques to automate the sorting of Cape gooseberry fruits according to their visual ripeness has been reported to provide accurate classification results. Classifiers like artificial neural networks, support vector machines, decision trees, and nearest neighbors are commonly employed to discriminate fruit samples repr...

El presente trabajo propone un método para el desarrollo de bases de datos de concentración de clorofila superficial a una resolución de 1km. El método se ha implementado usando el lenguaje de programación Python. Los resultados derivados de proceso de experimentación muestran una correcta sinergia entre los sensores MODIS sobre las plataformas AQU...

El objetivo del presente trabajo es desarrollar una aplicación para automatizar el llenado de huecos producidos por la presencia de nubes en imágenes satelitales fusionadas provenientes de las plataformas MODIS y VIIRS con el software DINEOF.

The microstructure is a factor in the knowledge and prediction of properties in food and the associated changes during processing. The objective of this work was to evaluate the feasibility of using a convolution neural network (CNN) for the discrimination of structures in foods of vegetable origin. Micrographs of pumpkin were processed digitally t...

Joint attention (AC) is a skill of human beings essential for the development of the individual, including language learning. Experimental studies in AC commonly involve the analysis of video recordings of scenes with interactions between individuals, and some elements are manually registered, including the intervention of each one. In this work, t...

This work evaluates near-infrared (NIR) spectroscopy coupled with chemometric tools for determining the superficial content of citral (𝑆𝐶𝐶𝑡) on microparticles. To perform this evaluation, using spray drying, citral was encapsulated in a matrix of dextrin using twelve combinations of citral:dextrin ratios (CDR) and inlet air temperatures (IAT). From...

En este estudio se evaluó la espectroscopía NIR y la regresión de mínimos cuadrados parciales (PLSR - partial least square regression) en la predicción del contenido superficial de citral (SC- superficial de citral) en micropartículas. Paraeste propósito, se prepararon muestras de micropartículas con diferentes niveles de SC variando la relación ci...

An increasingly large community-mainly from emerging economies-collects and buys "click toys" (i.e., scalable and adjustable toys composed by many pieces); this type of toy has been used for educational purposes; low-cost toys can be obtained from secondhand cargoes of separate parts, but it requires solving an order-picking problem where the prima...

Uniform covering arrays are covering arrays in which every column has the same alphabet. In recent years, a number of methods to construct such arrays have been developed. Here, we review several of these methods organizing them into six classes: algebraic, recursive, exact, greedy, metaheuristic, and transformations. The objective of this paper is...

En este artículo, se introduce PulAm, una aplicación móvil basada en el sistema operativo móvil Android. Esta aplicación se diseñó como una herramienta de apoyo en el proceso de monitoreo de plagas de diferentes cultivos. Como caso de estudio, se introduce el monitoreo de cultivos de sorgo, en el estado de Nayarit, México; específicamente para la c...

The classification of fresh fruits according to their visual ripeness is typically a subjective and tedious task; consequently, there is growing interest in the use of non-contact techniques to automate this process. Machine learning techniques such as artificial neural networks, support vector machines, decision trees, and K-nearest neighbor algor...

The classification of fresh fruits according to their ripeness is typically a subjective and tedious task; consequently, there is growing interest in the use of non-contact techniques such as those based on computer vision and machine learning. In this paper, we propose the use of non-intrusive techniques for the classification of Cape gooseberry f...

The classification of fresh fruits according to their ripeness is typically a subjective and tedious task; consequently, there is growing interest in the use of non-contact techniques such as those based on computer vision and machine learning. In this paper, we propose the use of non-intrusive techniques for the classification of Cape gooseberry f...

In this paper, we introduce PulAm a mobile application based on the Android operating system, which was designed as a support tool for the monitoring process of different crops. As a case study, we introduced the monitoring of sorghum crops, specifically against the “yellow sugarcane aphid.”

In this paper, a chain of satellite image processing using free software libraries is proposed, to estimate biophysical parameters using data from the Sentinel-2 satellite. In particular, the processing chain proposed allows atmospheric correction, resampling and spatial cropping of satellite images. To evaluate the functionality of the developed p...

En este artículo se propone una metodología con bibliotecas de software libre para el procesamiento de las imágenes obtenidas del Sentinel-2 para obtener el mapa de LAI del cultivo de la caña de azúcar. La metodología consta de tres fases, (1) descarga, (2) preprocesamiento y (3) modelo retrieval. Los resultados muestran que, a través de la metodol...

En este artículo presentamos una aplicación Android diseñada para detectar daños en hojas de tabaco causadas por el hongo del moho azul.

Worldwide, the monitoring of pests and diseases plays a fundamental role in the agricultural sustainability; making necessary the development of new tools for early pest detection. In this sense, we present a software application for detecting damage in tobacco (Nicotiana tabacum L.) leaves caused by the fungus of blue mold (Peronospora tabacina Ad...

Software testing is an essential activity to ensure the quality of software systems. Combinatorial testing is a method that facilitates the software testing process; it is based on an empirical evidence where almost all faults in a software component are due to the interaction of very few parameters. The test generation problem for combinatorial te...

In this paper, we present a study about building age and gender automatic classifiers for children at their first school years (bet- ween 6 and 11 years old). We created a speech corpus with 174 children interacting with a couple of robots in a Wizard of Oz scenario. The recorded speech was manually segmented and then characterized with low-level a...

Search-based software engineering involves the application of optimization methods to solve software engineering problems. One of the most significant difficulties in testing software systems is the effort needed to build the test suites required to validate a software system. Given the importance of the software testing stage, a specific sub-area...

In this paper, the feasibility of using spectral profiles for modeling water activity aw in white quinoa grains (Chenopodium quinoa Willd.) is studied. For this purpose, five hundred samples of five white varieties were stabilized at different aw values using the isopiestic method. Next, hyperspectral images (HSIs) of ten grains for each combinatio...

Covering arrays are combinatorial designs used as test-suites in software and hardware testing. Because of their practical applications, the construction of covering arrays with a smaller number of rows is desirable. In this work we develop a greedy-metaheuristic 3-stage approach to construct covering arrays that improve some of the best-known ones...

The advances in social robotics have extended the possibilities of their use in different applications and have also increased the sectors of users to which those applications can benefit. An attractive population of users is children. Recently, there has been a trend towards research in the design of interactive systems for children, as well as in...