Lecture Notes in Computer Science

Lecture Notes in Artificial Intelligence 14392

Founding Editor
Jörg Siekmann

Series Editors
Randy Goebel, University of Alberta, Edmonton, Canada
Wolfgang Wahlster, DFKI, Berlin, Germany
Zhi-Hua Zhou, Nanjing University, Nanjing, China
The series Lecture Notes in Artificial Intelligence (LNAI) was established in 1988 as a
topical subseries of LNCS devoted to artificial intelligence.
The series publishes state-of-the-art research results at a high level. As with the LNCS
mother series, the mission of the series is to serve the international R & D community
by providing an invaluable service, mainly focused on the publication of conference and
workshop proceedings and postproceedings.
Hiram Calvo · Lourdes Martínez-Villaseñor ·
Hiram Ponce
Editors

Advances in
Soft Computing
22nd Mexican International Conference
on Artificial Intelligence, MICAI 2023
Yucatán, Mexico, November 13–18, 2023
Proceedings, Part II
Editors
Hiram Calvo Lourdes Martínez-Villaseñor
Center for Computing Research Facultad de Ingeniería
Instituto Politécnico Nacional Universidad Panamericana
Ciudad de México, Distrito Federal, Mexico Ciudad de México, Mexico

Hiram Ponce
Facultad de Ingeniería
Universidad Panamericana
Ciudad de México, Mexico

ISSN 0302-9743 ISSN 1611-3349 (electronic)

Lecture Notes in Artificial Intelligence
ISBN 978-3-031-47639-6 ISBN 978-3-031-47640-2 (eBook)
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 Preface

The Mexican International Conference on Artificial Intelligence (MICAI) is a yearly

international conference series that has been organized by the Mexican Society for
Artificial Intelligence (SMIA) since 2000. MICAI is a major international artificial
intelligence (AI) forum and the main event in the academic life of the country’s growing
AI community.
This year, MICAI 2023 was graciously hosted by the Instituto de Investigaciones
en Matemáticas Aplicadas y en Sistemas (IIMAS) and the Universidad Autónoma del
Estado de Yucatán (UAEY). The conference presented a cornucopia of scientific endeav-
ors. From incisive keynote lectures and detailed paper presentations to hands-on tutorials,
thought-provoking panels, and niche workshops, the spectrum of activities aimed to cater
to a wide audience. Moreover, we continued the legacy of announcing the José Negrete
Award, the SMIA Best Thesis in Artificial Intelligence Contest’s results. This year, the
historic and culturally rich city of Mérida, Yucatán was our chosen rendezvous.
MICAI conferences publish high-quality papers in all areas of AI and its applications.
The proceedings of the previous MICAI events have been published by Springer in its
Lecture Notes in Artificial Intelligence (LNAI) series (volumes: 1793, 2313, 2972, 3789,
4293, 4827, 5317, 5845, 6437, 6438, 7094, 7095, 7629, 7630, 8265, 8266, 8856, 8857,
9413, 9414, 10061, 10062, 10632, 10633, 11288, 11289, 11835, 12468, 12469, 13067,
13068, 13612, and 13613). Since its foundation in 2000, the conference has grown in
popularity and improved in quality.
The proceedings of MICAI 2023 are published in two volumes. The first volume,
Advances in Computational Intelligence, contains 24 papers structured into three
sections:
– Machine Learning
– Computer Vision and Image Processing
– Intelligent Systems
The second volume, Advances in Soft Computing, contains 25 papers structured into
three sections:
– Natural Language Processing
– Bioinformatics and Medical Applications
– Robotics and Applications
The two-volume set will be of interest for researchers in all fields of artificial
intelligence, students specializing in related topics, and the general public interested
in recent developments in AI.
The conference received for evaluation 115 submissions from 17 countries: Bolivia,
Brazil, Colombia, Cuba, Denmark, Ecuador, Spain, USA, France, The Netherlands,
Italy, Kazakhstan, Mexico, Peru, UK, Russia, and Sweden. Gender representation also
echoed with 90 male authors and 21 female authors adding their voice. From these
vi Preface

submissions, 49 papers were selected for publication in these two volumes after 3 reviews
per submission in a double-blind peer-reviewing process carried out by the international
Program Committee. The acceptance rate was 43%.
The international Program Committee consisted of 80 experts from 10 countries:
Australia, Brazil, France, Germany, Japan, Kazakhstan, Mexico, Russia, Spain, and
UK.
Three workshops were held jointly with the conference:
– WILE 2023: 16th Workshop on Intelligent Learning Environments
– HIS 2023: 16th Workshop of Hybrid Intelligent Systems
– CIAPP 2023: 5th Workshop on New Trends in Computational Intelligence and
Applications
We want to thank all the people involved in the organization of this conference: the
authors of the papers published in these two volumes –it is their research work that gives
value to the proceedings– and the organizers for their work. We thank the reviewers for
their great effort spent on reviewing the submissions and the Program and Organizing
Committee members.
A special acknowledgment goes to the local committee led by Antonio Neme, whose
meticulous coordination has been instrumental in realizing MICAI 2023 in Mérida,
Yucatán, Mexico. Our thanks extend to IIMAS’s director, Ramsés Mena, and its academic
secretary, Katya Rodríguez. We are also indebted to Anabel Martín from the Faculty
of Mathematics at the UADY for her invaluable assistance in securing the university
facilities.
The entire submission, reviewing, and selection process, as well as preparation of
the proceedings, was supported by Microsoft’s Conference Management Toolkit (https://
cmt3.research.microsoft.com/). Last but not least, we are grateful to Springer for their
patience and help in the preparation of these volumes.
In conclusion, MICAI 2023 is more than just a conference. It is a confluence of
minds, a testament to the indefatigable spirit of the AI community, and a beacon for the
future of Artificial Intelligence. As you navigate through these proceedings, may you
find inspiration, knowledge, and connections that propel you forward in your journey.
The MICAI series website is www.MICAI.org. The website of the Mexican Society
for Artificial Intelligence, SMIA, is www.SMIA.mx. Contact options and additional
information can be found on these websites.

November 2023 Hiram Calvo

Lourdes Martínez-Villaseñor
Hiram Ponce
 Organization

Conference Committee

General Chair

Hiram Calvo Instituto Politécnico Nacional, Mexico

Program Chairs

Hiram Calvo Instituto Politécnico Nacional, Mexico

Lourdes Martínez-Villaseñor Universidad Panamericana, Mexico
Hiram Ponce Universidad Panamericana, Mexico

Workshop Chair

Hiram Ponce Universidad Panamericana, Mexico

Tutorials Chair

Roberto Antonio Vázquez Universidad La Salle, Mexico

Espinoza de los Monteros

Doctoral Consortium Chairs

Miguel González Mendoza Tecnológico de Monterrey, Mexico

Juan Martínez Miranda Centro de Investigación Científica y de Educación
Superior de Ensenada, Mexico

Keynote Talks Chairs

Gilberto Ochoa Ruiz Tecnológico de Monterrey, Mexico

Iris Méndez Universidad Autónoma de Ciudad Juárez, Mexico

Publication Chair

Hiram Ponce Universidad Panamericana, Mexico

viii Organization

Financial Chairs

Hiram Calvo Instituto Politécnico Nacional, Mexico

Lourdes Martínez-Villaseñor Universidad Panamericana, Mexico

Grant Chair

Leobardo Morales IBM, Mexico

Local Organizing Committee

Abigail Uribe Martínez Universidad Autónoma del Estado de Yucatán,

Mexico
Abraham Mandariaga Mazón Universidad Autónoma del Estado de Yucatán,
Mexico
Ali Bassam Universidad Autónoma del Estado de Yucatán,
Mexico
Anabel Martin Universidad Autónoma del Estado de Yucatán,
Mexico
Antonio Aguileta Universidad Autónoma del Estado de Yucatán,
Mexico
Antonio Neme Universidad Autónoma del Estado de Yucatán,
Mexico
Blanca Vázquez Universidad Autónoma del Estado de Yucatán,
Mexico
Joel Antonio Trejo Sánchez Universidad Autónoma del Estado de Yucatán,
Mexico
Jorge Perez-Gonzalez Universidad Autónoma del Estado de Yucatán,
Mexico
Julián Bravo Castillero Universidad Autónoma del Estado de Yucatán,
Mexico
Karina Martínez Universidad Autónoma del Estado de Yucatán,
Mexico
Mauricio Orozco del Castillo Universidad Autónoma del Estado de Yucatán,
Mexico
Nidiyare Hevia Montiel Universidad Autónoma del Estado de Yucatán,
Mexico
Nora Cuevas Cuevas Universidad Autónoma del Estado de Yucatán,
Mexico
Nora Pérez Quezadas Universidad Autónoma del Estado de Yucatán,
Mexico
 Organization ix

Candy Sansores Universidad Autónoma del Estado de Yucatán,

Mexico
Carlos Bermejo Sabbagh Universidad Autónoma del Estado de Yucatán,
Mexico
Eric Ávila Vales Universidad Autónoma del Estado de Yucatán,
Mexico
Erik Molino Minero Re Universidad Autónoma del Estado de Yucatán,
Mexico
Fernando Arámbula Cosío Universidad Autónoma del Estado de Yucatán,
Mexico
Helena Gomez Adorno Universidad Autónoma del Estado de Yucatán,
Mexico
Israel Sánchez Domínguez Universidad Autónoma del Estado de Yucatán,
Mexico
Norberto Sánchez Universidad Autónoma del Estado de Yucatán,
Mexico
Paul Erick Méndez Monroy Universidad Autónoma del Estado de Yucatán,
Mexico
Ramón Aranda Universidad Autónoma del Estado de Yucatán,
Mexico
Vicente Carrión Universidad Autónoma del Estado de Yucatán,
Mexico
Victor Manuel Lomas Barrie Universidad Autónoma del Estado de Yucatán,
Mexico
Víctor Sandoval Curmina Universidad Autónoma del Estado de Yucatán,
Mexico
Victor Uc Cetina Universidad Autónoma del Estado de Yucatán,
Mexico
Yuriria Cortés Poza Universidad Autónoma del Estado de Yucatán,
Mexico

Program Committee

Alberto Ochoa-Zezzatti Universidad Autónoma de Ciudad Juárez, Mexico

Aldo Marquez-Grajales Instituto Tecnológico Superior de Xalapa, Mexico
Alexander Bozhenyuk Southern Federal University, Russia
Andrés Espinal Universidad de Guanajuato, Mexico
Angel Sánchez García Universidad Veracruzana, Mexico
Anilu Franco Universidad Autónoma del Estado de Hidalgo,
Mexico
Antonieta Martinez Universidad Panamericana, Mexico
Antonio Neme UNAM, Mexico
x Organization

Ari Barrera Animas Universidad Panamericana, Mexico

Asdrúbal López Chau Universidad Autónoma del Estado de México,
Mexico
Belém Priego Sánchez Universidad Autónoma Metropolitana Unidad
Azcapotzalco, Mexico
Bella Martinez Seis Instituto Politécnico Nacional, Mexico
Betania Hernandez-Ocaña Universidad Juárez Autónoma de Tabasco,
Mexico
Claudia Gómez Instituto Tecnológico de Ciudad Madero, Mexico
Daniela Alejandra Ochoa CentroGEO-CONACyT, Mexico
Dante Mújica-Vargas CENIDET, Mexico
Diego Uribe Tecnológico Nacional de México - ITL, Mexico
Eddy Sánchez-DelaCruz Tecnológico Nacional de México - Campus
Misantla, Mexico
Eduardo Valdez Instituto Politécnico Nacional, Mexico
Efrén Mezura-Montes Universidad Veracruzana, Mexico
Eloísa García-Canseco Universidad Autónoma de Baja California,
Mexico
Elva Lilia Reynoso Jardon Universidad Autónoma de Ciudad Juárez, Mexico
Eric Tellez CICESE-INFOTEC-CONACyT, Mexico
Ernesto Moya-Albor Universidad Panamericana, Mexico
Félix Castro Espinoza Universidad Autónoma del Estado de Hidalgo,
Mexico
Fernando Gudino UNAM, Mexico
Garibaldi Pineda Garcia Applied AGI, UK
Genoveva Vargas-Solar University Grenoble Alpes, CNRS, France
Gilberto Ochoa-Ruiz Tecnológico de Monterrey, Mexico
Giner Alor-Hernandez Tecnológico Nacional de México - ITO, Mexico
Guillermo Santamaría-Bonfil BBVA México, Mexico
Gustavo Arroyo Instituto Nacional de Electricidad y Energías
Limpias, Mexico
Helena Gómez Adorno IIMAS-UNAM, Mexico
Hiram Ponce Universidad Panamericana, Mexico
Hiram Calvo Instituto Politécnico Nacional, Mexico
Hugo Jair Escalante INAOE, Mexico
Humberto Sossa Instituto Politécnico Nacional, Mexico
Iris Iddaly Méndez-Gurrola Universidad Autónoma de Ciudad Juárez, Mexico
Iskander Akhmetov Institute of Information and Computational
Technologies, Kazakhstan
Ismael Osuna-Galán Universidad de Quintana Roo, Mexico
Israel Tabarez Universidad Autónoma del Estado de México,
Mexico
 Organization xi

Jaime Cerda Universidad Michoacana de San Nicolás de

Hidalgo, Mexico
Jerusa Marchi Federal University of Santa Catarina, Brazil
Joanna Alvarado Uribe Tecnológico de Monterrey, Mexico
Jorge Perez Gonzalez UNAM, Mexico
José Alanis Universidad Tecnológica de Puebla, Mexico
José Martínez-Carranza INAOE, Mexico
Jose Alberto Hernandez-Aguilar Universidad Autónoma del Estado de Morelos,
Mexico
José Carlos Ortiz-Bayliss Tecnológico de Monterrey, Mexico
Juan Villegas-Cortez UAM - Azcapotzalco, Mexico
Juan Carlos Olivares Rojas Tecnológico Nacional de México - ITM, Mexico
Karina Perez-Daniel Universidad Panamericana, Mexico
Karina Figueroa Mora Universidad Michoacana de San Nicolás de
Hidalgo, Mexico
Leticia Flores Pulido Universidad Autónoma de Tlaxcala, Mexico
Lourdes Martinez-Villaseñor Universidad Panamericana, Mexico
Luis Torres-Treviño Universidad Autónoma de Nuevo León, Mexico
Luis Luevano Institut National de Recherche en Informatique et
en Automatique, France
Mansoor Ali Teevno Tecnológico de Monterrey, Mexico
Masaki Murata Tottori University, Japan
Miguel Gonzalez-Mendoza Tecnológico de Monterrey, Mexico
Miguel Mora-Gonzalez Universidad de Guadalajara, Mexico
Mukesh Prasad University of Technology Sydney, Australia
Omar López-Ortega Universidad Autónoma del Estado de Hidalgo,
Mexico
Rafael Guzman-Cabrera Universidad de Guanajuato, Mexico
Rafael Batres Tecnológico de Monterrey, Mexico
Ramon Brena Instituto Tecnológico de Sonora, Mexico
Ramón Zatarain Cabada Tec Culiacán, Mexico
Ramón Iván Barraza-Castillo Universidad Autónoma de Ciudad Juárez, Mexico
Roberto Antonio Vasquez Universidad La Salle, Mexico
Rocio Ochoa-Montiel Universidad Autónoma de Tlaxcala, Mexico
Ruben Carino-Escobar Instituto Nacional de Rehabilitación - Luis
Guillermo Ibarra Ibarra, Mexico
Sabino Miranda INFOTEC-CONACyT, Mexico
Saturnino Job Morales Universidad Autónoma del Estado de México,
Mexico
Segun Aroyehun University of Konstanz, Germany
Sofía Galicia Haro Sistema Nacional de Investigadoras e
Investigadores, Mexico
Tania Ramirez-delReal CentroGEO-CONACyT, Mexico
xii Organization

Vadim Borisov Branch of National Research University “Moscow

Power Engineering Institute” in Smolensk,
Russia
Valery Solovyev Kazan Federal University, Russia
Vicenc Puig Universitat Politècnica de Catalunya, Spain
Vicente Garcia Jimenez Universidad Autónoma de Ciudad Juárez, Mexico
Victor Lomas-Barrie IIMAS-UNAM, Mexico
 Contents – Part II

Natural Language Processing

Visualizing the Cosmos: A Novel Method for Text Recombination

with Space News . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
Zhalgas Zhiyenbekov, Zhanar Omirbekova, Galymkair Mutanov,
and Madiyar Tasbolatov

Propitter: A Twitter Corpus for Computational Propaganda Detection . . . . . . . . . 16

Marco Casavantes, Manuel Montes-y-Gómez, Luis Carlos González,
and Alberto Barróñ-Cedeno

Data Mining and Analysis of NLP Methods in Students Evaluation

of Teaching . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28
Diego Acosta-Ugalde, Santiago Enrique Conant-Pablos,
Claudia Camacho-Zuñiga, and Andrés Eduardo Gutiérrez-Rodríguez

Data Imputation with Adversarial Neural Networks for Causal Discovery

from Subsampled Time Series . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39
Julio Muñoz-Benítez and L. Enrique Sucar

Exploring the Challenges and Limitations of Unsupervised Machine

Learning Approaches in Legal Concepts Discovery . . . . . . . . . . . . . . . . . . . . . . . . . 52
Philippe Prince-Tritto and Hiram Ponce

Large Sentiment Dictionary of Russian Words . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68

Vladimir V. Bochkarev, Andrey A. Achkeev, Andrey V. Savinkov,
Anna V. Shevlyakova, and Valery D. Solovyev

An Interpretable Authorship Attribution Algorithm Based

on Distance-Related Characterizations of Tokens . . . . . . . . . . . . . . . . . . . . . . . . . . . 83
Victor Lomas, Michelle Reyes, and Antonio Neme

Comparing Transformer-Based Machine Translation Models

for Low-Resource Languages of Colombia and Mexico . . . . . . . . . . . . . . . . . . . . . 95
Jason Angel, Abdul Gafar Manuel Meque,
Christian Maldonado-Sifuentes, Grigori Sidorov, and Alexander Gelbukh
xiv Contents – Part II

Disaster Tweets: Analysis from the Metaphor Perspective and Classification

Using LLM’s . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106
Tania Alcántara, Omar García-Vázquez, Hiram Calvo,
and José A. Torres-León

LLM’s for Spanish Song Text Analysis and Classification Using Language
Variants . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118
Omar García-Vázquez, Tania Alcántara, Hiram Calvo,
and Grigori Sidorov

Bioinformatics and Medical Applications

Boosting Kidney Stone Identification in Endoscopic Images Using

Two-Step Transfer Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131
Francisco Lopez-Tiro, Daniel Flores-Araiza,
Juan Pablo Betancur-Rengifo, Ivan Reyes-Amezcua, Jacques Hubert,
Gilberto Ochoa-Ruiz, and Christian Daul

Automatic Assessment of Canine Trainability Using Heart Rate Responses

to Positive and Negative Emotional Stimuli . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142
Cristian A. Ospina-De la Cruz, Humberto Pérez-Espinosa,
Mariel Urbina-Escalante, Verónica Reyes-Meza, and Jorge Ríos-Martínez

LSTM-Based Infected Mosquitos Detection Using Wingbeat Sound . . . . . . . . . . 157

Marco Haro, Mariko Nakano, Israel Torres, Mario Gonzalez,
and Jorge Cime

FAU-Net: An Attention U-Net Extension with Feature Pyramid Attention

for Prostate Cancer Segmentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 165
Pablo Cesar Quihui-Rubio, Daniel Flores-Araiza,
Miguel Gonzalez-Mendoza, Christian Mata, and Gilberto Ochoa-Ruiz

Implementation of a Digital Electromyographic Signal Processor

Synthesized on an FPGA Development Board for Biocontrol Systems . . . . . . . . . 177
J. Brandon Mañón Juárez and Eusebio Ricárdez Vázquez

BEC-1D: Biosignal-Based Emotions Classification with 1D ConvNet . . . . . . . . . 189

Juan Eduardo Luján-García, Marco A. Cardoso-Moreno,
Cornelio Yáñez-Márquez, and Hiram Calvo

Feature Selection and Classification for Searching Light at Night Exposure

and Students’ Weight Relationship . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 201
Christian Sánchez-Sánchez, Alfredo Piero Mateos-Papis,
Natalí N. Guerrero-Vargas, Alberto Manuel Ángeles-Castellanos,
and Carolina Escobar
 Contents – Part II xv

PumaMedNet-CXR: An Explainable Generative Artificial Intelligence

for the Analysis and Classification of Chest X-Ray Images . . . . . . . . . . . . . . . . . . 211
Carlos Minutti-Martinez, Boris Escalante-Ramírez,
and Jimena Olveres-Montiel

Robotics and Applications

Visual Navigation Algorithms for Mobile Manipulators in Service Shops . . . . . . 227

J. A. Cisneros Morales, E. R. Altamirano Ávila, R. Mendivil-Castro,
and L. A. Muñoz

NATLOC: Natural Language Object Localization . . . . . . . . . . . . . . . . . . . . . . . . . . 239

Erik Ricardo Palacios Garza and Luis Torres-Treviño

Backup Solutions for the Refueling Problem in Foreign Transportation:

A Case Study in Mexico . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 251
Oliver Cuate, Ruben Belmont, Lourdes Uribe, Gabriela P. Villamar,
Ivan G.P., and Cecilio Shamar Sanchez Nava

Self-location Algorithm for the Strategic Movement of Humanoid Robots . . . . . 264

Moises Omar Leon-Pineda, Ivan Giovanni Valdespin-Garcia,
and Yesenia Eleonor Gonzalez-Navarro

Learning Neural Radiance Fields of Forest Structure for Scalable and Fine
Monitoring . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 281
Juan Castorena

Edge AI-Based Vein Detector for Efficient Venipuncture in the Antecubital

Fossa . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 297
Edwin Salcedo and Patricia Peñaloza

Varroa Mite Detection in Honey Bees with Artificial Vision . . . . . . . . . . . . . . . . . 315

Apolinar Velarde Martinez, Gilberto González Rodríguez,
Juan Carlos Estrada Cabral, and Jose Daniel Reyes Moreira

Author Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 331

 Contents – Part I

Machine Learning

Stock Market Performance Analytics Using XGBoost . . . . . . . . . . . . . . . . . . . . . . 3

Nisar Hussain, Amna Qasim, Zia-ud-din Akhtar, Ayesha Qasim,
Gull Mehak, Luciana del Socorro Espindola Ulibarri,
Olga Kolesnikova, and Alexander Gelbukh

1D Quantum Convolutional Neural Network for Time Series Forecasting

and Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Mayra Alejandra Rivera-Ruiz, Sandra Leticia Juárez-Osorio,
Andres Mendez-Vazquez, José Mauricio López-Romero,
and Eduardo Rodriguez-Tello

Hand Gesture Recognition Applied to the Interaction with Video Games . . . . . . 36

Lorena Isabel Barona López, César Israel León Cifuentes,
José Miguel Muñoz Oña, Angel Leonardo Valdivieso Caraguay,
and Marco E. Benalcázar

Multiresolution Controller Based on Window Function Networks

for a Quanser Helicopter . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53
Oscar Federico Garcia-Castro, Luis Enrique Ramos-Velasco,
Rodolfo Garcia-Rodriguez, Mario A. Vega-Navarrete,
and Enrique Escamilla-Hernández

Semi-supervised Learning of Non-stationary Acoustic Signals Using

Time-Frequency Energy Maps . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65
Esteban Guerra-Bravo, Arturo Baltazar, and Antonio Balvantín

Predict Email Success Based on Text Content . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77

Edmundo Bernardo, Kaiulani Lorenzo, Guillermo Reyes,
and Hiram Ponce

Neural Drone Racer Mentored by Classical Controllers . . . . . . . . . . . . . . . . . . . . . 84

L. Oyuki Rojas-Perez, Alejandro Gutierrez-Giles,
and Jose Martinez-Carranza

Eye Control and Motion with Deep Reinforcement Learning: In Virtual

and Physical Environments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99
Sergio Arizmendi, Asdrubal Paz, Javier González, and Hiram Ponce
xviii Contents – Part I

Fingerspelling Recognition in Mexican Sign Language (LSM) Using

Machine Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110
Ricardo Fernando Morfín-Chávez, Jesús Javier Gortarez-Pelayo,
and Irvin Hussein Lopez-Nava

Load Demand Forecasting Using a Long-Short Term Memory Neural

Network . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121
Arturo Ortega, Monica Borunda, Luis Conde, and Carlos Garcia-Beltran

Computer Vision and Image Processing

Benchmark Analysis for Backbone Optimization in a Facial Reconstruction

Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141
Victor Hernández-Manrique, Miguel González-Mendoza,
Carlos Vilchis, Mauricio Méndez-Ruiz, and Carmina Pérez-Guerrero

T(G)V-NeRF: A Strong Baseline in Regularized Neural Radiance Fields

with Few Training Views . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 152
Erick Zúniga, Thomas Batard, and Jean-Bernard Hayet

Nonlinear DIP-DiracVTV Model for Color Image Restoration . . . . . . . . . . . . . . . 168

Natalia Huitzil Santamaría, Thomas Batard, and Carlos Brito-Loeza

An Efficient Facial Verification System for Surveillance that Automatically

Selects a Lightweight CNN Method and Utilizes Super-Resolution Images . . . . 182
Filiberto Perez-Montes, Jesus Olivares-Mercado,
and Gabriel Sanchez-Perez

Nonlinear L2 -DiracVTV Model for Color Image Restoration . . . . . . . . . . . . . . . . 198

Keny Chin and Thomas Batard

An FPGA Smart Camera Implementation of Segmentation Models

for Drone Wildfire Imagery . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 213
Eduardo Guarduño, Jorge Francisco Ciprian-Sanchez,
Valente Vazquez-Garcia, Miguel Gonzalez-Mendoza,
Gerardo Rodriguez-Hernandez, Adriana Palacios, Lucile Rossi-Tisson,
and Gilberto Ochoa-Ruiz

Intelligent Systems

An Argumentation-Based Approach for Generating Explanations

in Activity Reasoning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 229
Mariela Morveli-Espinoza, Juan Carlos Nieves, and Cesar Augusto Tacla
 Contents – Part I xix

A Decision Tree Induction Algorithm for Efficient Rule Evaluation Using

Shannon’s Expansion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 241
Vitali Herrera-Semenets, Lázaro Bustio-Martínez,
Raudel Hernández-León, and Jan van den Berg

Reasoning in DL-LiteR Based Knowledge Base Under Category Semantics . . . . 253

Rodrigo Albarrán and Chan Le Duc

Applying Genetic Algorithms to Validate a Conjecture in Graph Theory:

The Minimum Dominating Set Problem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 271
Jorge Cervantes-Ojeda, María C. Gómez-Fuentes,
and Julian A. Fresán-Figueroa

Random Number Generator Based on Hopfield Neural Network

with Xorshift and Genetic Algorithms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 283
Cristobal Lecca, Armando Zegarra, and Julio Santisteban

Using Compiler Errors Messages to Feedback High School Students

Through Machine Learning Methods . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 296
Víctor Gonzalo Rivero Martínez, Maricela Quintana López,
Asdrúbal López Chau, and Víctor Manuel Landassuri Moreno

Bayesian Network-Based Multi-objective Estimation of Distribution

Algorithm for Feature Selection Tailored to Regression Problems . . . . . . . . . . . . 309
José A. López, Felipe Morales-Osorio, Maximiliano Lara,
Jonás Velasco, and Claudia N. Sánchez

Implementation of Parallel Evolutionary Convolutional Neural Network

for Classification in Human Activity and Image Recognition . . . . . . . . . . . . . . . . . 327
Juan Villegas-Cortez, Graciela Román-Alonso,
Francisco Fernandez De Vega, Yafte Aaron Flores-Morales,
and Salomon Cordero-Sanchez

Author Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 347