The 3-volume set CCIS 2552 - 2554 constitutes the proceedings of the 17th Mexican Conference on Artificial Intelligence, COMIA 2025, which took place in Mexico City, Mexico, during May 12-16, 2025.

The totel of 83 papers included in the proceedings was carefully reviewed and selected from 199 submissions. They were organized in topical sections as follows:

Part I: Natural languages processing; robotics; signal processing; ethics and regulation;

Part II: Computer Vision and Image Processing; Deep Learning; Machine Learning and Pattern Recognition; Data Mining;

Part III: Artificial intelligence applications; medical applications.

Inhalt

.- Artificial Intelligence Applications

.- SEAPIC: Expert System in beekeeping.
.- Predicting Vehicle Sales in Mexico: Leveraging Advanced Machine Learning Models.
.- Facial Landmark Visualization and Emotion Recognition Through Neural Networks.
.- Data Masking Using Genetic Programming in IoT Environments.
.- Genetic Algorithm Focused on Automatic Design of Passive Analog Filters.
.- Intelligent Simulation of Electricity Prices in Mexico: Fuzzy Clustering and Particle Swarm Optimization.
.- Optimization of Metro Feeder Lines in the Monterrey Metropolitan Area Using Multi-Objective Genetic Algorithms.
.- Methodology for numerical assignment of categorical variables based on relative importance and genetic algorithms.
.- A Computer Vision Approach for Cookie Packaging Inspection.
.- Fake News Detection in a Real-World Spanish Dataset: A Neural Network and Transformer-Based Approach.
.- Improvement of text CAPTCHA codes by comparing adversarial techniques against deep learning model attacks.
.- Vision-Based Approach for Sugarcane Mass Estimation Under Harvesting Conditions.
.- Knowledge management in ICT teaching.
.- AI Agent Design for Trade Show Lead Matching.
.- Intermittent demand planning with tree random forest and extrapolation.
.- Deep Learning-Based Flux Prediction for Cardiac Mitochondrial Metabolism: A Comparative Analysis.
.- Towards a construction of the urban vulnerability index in case of an earthquake in Mexico City.

.- Medical Applications

.- Comparison of Classical and Advanced Convolutional Networks with Machine Learning Models in Classification of Attention Levels.
.- A Transformer Network Model for the Diagnosis of Chronic Ischemic Heart Disease in Patients with Type 2 Diabetes Mellitus.
.- Harnessing Machine Learning for Early and Accurate Diagnosis of Mosquito-Borne Diseases: A Case Study on Dengue, Zika, and Chikungunya.
.- Benchmark of Wrist-Wearable Devices for Student Stress Monitoring.
.- Development of a Dataset for the Evaluation of the Correlation of EDA and HRV with Stress Detection in Software Developers.
.- Decision trees as a support tool for the early diagnosis of cardiovascular diseases in young individuals.
.- Analysis of SVD Entropy Variability in EEG: Impact of Arithmetic Activity by Hemisphere.
.- Estimation of Exhaled Air Volume Using an Inductive Band and Machine Learning Algorithms.
.- Usage of Contrast Set Mining and Contrast Pattern Mining Methods: A Scoping Review.
.- Integration of Artificial Intelligence Techniques for Disease Prediction and Health Awareness: Review and Proposed Architecture.
.- Classifier for the detection and classification of cervical cancer using machine learning techniques.
.- VISMAID: Visual Impairment Support through Multimodal AI-driven Description.