Ponce / Escalante / Vazquez Artificial Intelligence – COMIA 2026

18th Mexican Congress, Cuernavaca, Mexico, May 25–29, 2026, Proceedings, Part I
Erscheinungsjahr 2026
ISBN: 978-3-032-37438-7
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 827 Seiten

Reihe: Communications in Computer and Information Science

The 3-volume set CCIS 3095 - 3097 constitutes the proceedings of the 18th Mexican Congress on Artificial Intelligence, COMIA 2026, which took place in Cuernavaca, Mexico, during May 25 - 29, 2026.

The total of 183 papers included in the proceedings was carefully reviewed and selected from 312 submissions. They were organized in topical sections as follows:

Part 1 : Applications of Artificial Intelligence; Medical Applications.
Part 2 : Machine learning and pattern recognition; Artificial Vision and Robotics; Computational Intelligence and Data Mining.
Part 3 : Natural language processing; Intelligent systems; Deep learning.

Zielgruppe

Research

Autoren/Hrsg.

Ponce, Hiram

Escalante, Hugo Jair

Vazquez, Roberto A.

Inhaltsverzeichnis

.- Applications of Artificial Intelligence.
.- Virtue Artificial Intelligence With Examples.
.- Large Language Models for Mexican Civil Law: A Comparative Evaluation of Specialized Fine-Tuning and RAG Approaches.
.- Factual Reliability Analysis of Large Language Models using a Semantic Stability Approach.
.- Use and Perception of Artificial Intelligence in Higher Education Students in Creative Disciplines: Pedagogical, Creative, and Ethical
Implications.
.- Detection of Struthanthus interruptus mistletoe in trees in Mexico City using multispectral UAV images and convolutional neural networks.
.- From graphite to prompt: Literacy, workflow, and perceptions among industrial design students.
.- A Real-Time Emotional State Management System Using Physiological Signals.
.- Reframing Open Large Language Models in Higher Education:Organizational Governance, Decision-Making Augmentation, and
Institutional Transformation.
.- AI-Driven Optimization of Tourist Itineraries Using Genetic andHeuristic Methods.
.- A Computer Vision–Based Dashboard for Real-Time Monitoring of Student Facial Emotions in Virtual Classrooms.
.- Speech Emotion Recognition for Safe Industrial Environment: Spanish Acted Speech Dataset and MLP Performance Analysis.
.- Mapping the Impact of Large-Scale Language Models on Decision Making, Personalized Learning, and Ethical Governance in Higher
Education.
.- Token-aware Agentic AI Systems: A Framework for Evaluating Token Usage Across Orchestration Approaches.
.- Automated Machine Learning Framework for Hypothyroidism Prediction Using XGBoost and SHAP.
.- Professional Profile Evaluation: A Proposal Based on Large Language Models and Fuzzy Logic.
.- SupraHealth-Mini: A Graph-Based and Generative AI Framework for Medical Counseling.
.- Multimodal Depression Analysis through Late Fusion of Linguistic and Facial Features.
.- Bibliometric Analysis of Ethics in the Content of Scientific Papers on Artificial Intelligence.
.- Topos-Theoretic Formalism for Causal Event Calculus.
.- CNN-Based Autonomous Navigation for the AutoNOMOS Mini V2 Robot in Simulation and Real Environments.
.- Classification of AI-Generated Academic Texts: A Comparative Study of Classical Models, Transformers, and CNN.
.- Predictive Modeling of Sexual Violence: An Automated Classification Approach to the Sexual Initiation of Mexican Women.
.- Portfolio Optimization and Artificial Intelligence: Markowitz Theory, Machine Learning and Modern Forecasting Methods.
.- Auditing Gender Bias in Machine Learning Models for Autism Screening.
.- Machine Learning Models for customers contact channel recommendation.
.- Technological Symmetry and Tax Assistance Through Artificial Intelligence.
.- Concrete Crack Segmentation via 5-Fold Cross-Validation Ensemble with ConvNeXt-Tiny U-Net.
.- Judging the Judge: On the Consistency of a Rubric-Guided Agent in Assessing Research Questions.
.- Agent-based modelling for explaining savings levels in Mexico.
.- Second– Order Polynomial Regression for Optimize the Fabrication Parameters in Organic Electrochemical Transistors.
.- Towards an Agent-Based Model of Opinion Dynamics for Political Elections.
.- Comparative Evaluation of Classical Machine Learning and U-Net Segmentation for Dead-Tree Crown Mapping in Urban–Forested UAV
Imagery.
.- Comparison of U-Net and FPN Architectures for Ground-Level Semantic Segmentation of sargassum in the Mexican Caribbean.
.- A Workflow for Fundus Imaging with Multipurpose Applications: Data Augmentation, Education, and Clinical Counseling.
.- Spanish Audio DeepFake Detection.
.- An LLM Web Extension for Text Adaptation to Reduce Cognitive Load in Older Adults.
.- Revealing the Influence of Variables on Real Estate Price Estimation Through Supervised Learning Models Using Explainable AI Methods.
.- A Two-Stage Mobile Vision System for Orange Segmentation and Real-Time Detection of Sooty Mold and Fruit Fly Damage in Regional
Oranges.
.- Intelligent XGBoost portfolio optimization.
.- Situated Algorithmic Justice Assessment (SAJA): A Methodology for Community-Grounded Evaluation of Artificial Intelligence Systems.
.- Temperature Control of a Joule Heating Experimental System Using a Hybrid Neuro-Integral Controller and Thermography.
.- Safe-Guarded O#ine-to-Online Deep Reinforcement Learning for Adaptive Tra”c Signal Control in Realistic Urban Corridors.
.- LLM-Guided Refinement of Clinical Instruments: A Reproducible Framework with Expert Validation.
.- Data analytics and driver of school retention on higher education.
.- Beyond the Black Box: Explainable AI for Parkinson’s Detection through Grad-CAM and Multimodal Data.
.-  From Raw Signals to Personality Scores: The Role of Time-Frequency Feature Engineering in Mobile Sensor Based OCEAN Prediction.
.- A Mobile-Based System for Real-Time Classifcation of Static Mexican Sign Language Gestures Using Deep Learning.
.- Ethical Design for Explainable Optimization of Sweet Gas Production.
.- Ransomware Detection in Windows Executable Files Using Machine Learning and Feature Extraction via Reverse Engineering.
.- Crowd Modelling: Including Generative Artificial Intelligence in Non-expert Teams for Curriculum Updating.
.- Synthetic Dataset Generation for SQL injection detection using a Large Language Model.
.- Towards a Unified Framework for Debugging Systems Requirements Specifications Translated Into ASP Logic Predicates.
.- Temporal Convolutional Networks for Audio and Representational Audio Learning: Audio Embedding Unsupervised Learning.
.- Adaptive Fire Detection in Heterogeneous Landscapes: A Metaheuristic Framework for Landsat 8 OLI Using Genetic Optimization and
Entropy-Driven Thresholding.
.- Medical Applications.
.- Deep Learning for brain tissue segmentation in pediatric patients.
.- BurnoutCare: An Intelligent System for Early Detection, Monitoring,and Prevention of Burnout Syndrome Using Generative AI.
.- Periodontitis Diagnosis via YOLOv8 Segmentation in Panoramic Radiographs.
.- Explainable Pneumonia Detection in Chest X-Rays Using DenseNet-121 with Post-hoc Analysis.
.- Stratification of Metabolic-Intestinal Risk Profiles Using Unsupervised Learning.
.- Artificial Intelligence Based on Acoustic Analysis for COPD Detection with Clinical Validation: A Systematic Review.
.- Skull stripping Methods in Brain Magnetic Resonance Imaging: A Systematic Review.
.- Mobile support system for pulmonary auscultation based on MobileNet and STFT spectrograms.
.- Analysis of COVID-19 Mortality Predictions in CECCS Using Clinical and Laboratory Data with a Multi-Layer Perceptron.