Description
This book constitutes the proceedings of several workshops which were held in conjunction with the MICAI 2025 International Workshops on Advances in Computational Intelligence, MICAI 2025, held in Guanajuato, Mexico, during November 3 7, 2025.
The 59 revised full papers presented in this book were carefully reviewed and selected from 85 submissions. The first part contains 33 papers from the 18th workshop of Hybrid Intelligent Systems (HIS 2025) and
the first workshop on Evolutionary Computation and Swarm Intelligence (ECSI 2025). The second volume contains 26 papers from the 18th Workshop on Intelligent Learning Environments (WILE 2025), the 7th Workshop on New Trends in Computational Intelligence and Applications (CIAPP 2025) and the first workshop on Challenges in Holistic AI for Real-world Applications and Learning Systems (CHARAL 2025).
.- HIS 2025
.- Data Mining and Hybrid Clustering for Optimizing Energy Efficiency in Public Buildings.
.- Unsupervised Clustering for the Multidimensional Analysis of Rural Energy Poverty in Yucatan, Mexico.
.- AI in Medicine: Diagnosis and Drug Discovery.
.- Travel Time Prediction for Urban Tra c Forecasting Using Random Forest Regression.
.- Automatic Classification of Egg Freshness Using Ovoscopic Imaging and Convolutional Neural Networks.
.- Evaluation of Hospital Response for Various Types of Cancer in Southwestern Mexico Using TOPSIS Multi-Criteria Analysis.
.- Classification of low-grade squamous intraepithelial lesions of the cervix using deep learning models.
.- Detection and classification of cervical cancer using machine learning techniques.
.- Intelligent Vital Signs Simulator Based on Virtual Patients with Medical Orientation in Shock Scenarios.
.- Application of Artificial Intelligence in Personalized Education.
.- Artificial Neural Network Modeling for Predicting Thermal Behavior in a Laboratory-Scale Concentric Tube Heat Exchanger.
.- PSO-Based Optimization of PID Controllers for Quadrotor UAVs: A Systematic Design and Comparative Analysis.
.- Intelligent Legal Query System for Mexican Labor Law Based on Retrieval-Augmented Generation (RAG).
.- Design of an interactive holographic environment assisted by artificial intelligence for the automatic identification of cyberbullying.
.- Intelligent Agent-Driven Test Artifact Synthesis with DynamicEnvironmental Feedback.
.- Optimizing Urban Transportation in a Smart City through Climate Monitoring and Mobility Factors Using Komodo Optimizing Algorithm.
.- GM (1,1) Model and Deep Neural Networks (GMDNN (1,1)) for Forecasting in Contexts of Small Data and High Uncertainty: An
Application in Intelligent Logistics.
.- Multi criteria Approach to the Social Portfolio Problem for CircularEconomy Projects in Smart Cities: A Case Study in Guadalajara.
.- Towards Full Technological Accessibility: Children with motor impairments in the amenities of a Smart City.
.- Pre-trained and Large Language Models for Sentiment Analysis of Spanish Social Media in the 2024 Mexican Elections.
.- Hybridization of the Mayfly and Roach Infestation Algorithms through a FuzzySystem.
.- Design of a Hybrid Model Based on Dynamic Decision Trees and Adaptive Bayesian Algorithms for Student Support and the Integration
of Emerging Technologies.
.- Generating Fuzzy Rules for Wildfire Pixel Segmentation Using Genetic Programming and Color Content.
.- Classification of White or Red Wines Using the Decision Trees Machine Learning Technique.
.- Visual Analysis of MNIST Convolutional Autoencoder Reconstructions via Linear Dimensionality Reduction.
.- Real-Time Fall Detection and Urban Risk Mapping for Motorcycle Passengers with Helmet-Based Sensors and Kriging in Smart Cities.
.- Development of a Visual Framework for Type-1 Mamdani Systems Based on UPAFuzzySystems.
.- Artificial Empathy in Conversational Agents: Examining User Perceptions, Emotional Responses, and Organizational Reputation in
Customer Support Scenarios.
.- Business Simulator: Interactive Optimization of Inputs in the Digital Enterprise in Industry 5.0.
.- ECSI 2025
.- A Multi-Objective Decomposition-Based MOPSO with Dynamic Adaptive Penalization for CMOPs.
.- Enhanced Index Tracking: A Comparison of Multi-Objective Evolutionary Approaches.
.- Leveraging Adapters for Neural Architecture Search in Large Language Models.
.- Optimization of Wave Energy Farms Using Surrogate Models and Metaheuristics.
