Lecture Notes in Artificial Intelligence : Advances in Computational Intelligence. MICAI 2025 International Workshops (Lecture Notes in Computer Science)

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Lecture Notes in Artificial Intelligence : Advances in Computational Intelligence. MICAI 2025 International Workshops (Lecture Notes in Computer Science)

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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).

.-  WILE 2025

.-  Generation of STEAM-based Games with Augmented Reality.
.-  Training Students as AI Ambassadors: Explaining Artificial Intelligence Through Case-Based Learning.
.- Ask First, Test on Demand: A Deference-Gated Socratic Agent Design.
.-  An Argument Mining Tool for Spanish academic texts.
.- ASTRA: A Web Scraping Tool devoted to Academic Content Retrieva and Text Complexity Analysis.
.- Validation of Short Answers for Open Questions from the FairytaleQA-sp Corpus.
.-  Assessing Writing Progress in Engineering Students through Lexical Richness and Argumentation Approach.
.- Counting of Students in Educational Environments Using Pretrained Convolutional Neural Networks.
.-  An Intelligent Learning Environment for Mathematics: SmartMathAI with Generative AI and Problem-Based Learning.
.-  An interactive and literate environment for learning programming.
.-  Towards Adaptive Tutoring: A ProposeSelf-E cacy Behavior Model for Intelligent Learning Environments.

.-  CIAPP 2025

.-  Web Module for Breast Cancer Risk Prediction Using Clinical and Psychological Data.
.- Using feature extraction methods to perform a sensory analysis of tortillas fortified with chilacayote powder.
.- A Fully Evolutionary Approach to Learn Bayesian Networks from Data.
.- A computational e cient algorithm for optimal mass transport via wavelet-based multiresolution methods.
.- The Impact of Crossover and Mutation on Carbon Emissions in Real-Coded Genetic Algorithm: An Empirical Study.
.- Visual Cylindrical Containers Tilt Detection for Precise Liquid Pouring.
.-  Pilot Test of Ethnic Hate Speech Detection in Mexico.
.- Quantitative Comparison Between Heuristic and Automatic Design in Variational Quantum Circuits for the MaxCut problem.
.-  Physical activity and diet: A computational predictive model for characterizing nutritional status in children.

.-  CHARAL 2025

.- Drupelet: End-to-End Development of Mixed Binary/Ternary Neural Networks for Ultra Resource-Constrained Microcontrollers.
.- A Metamodelling Framework for Accelerated Energy MarketOptimization using Active Learning.
.-  Track Almost Everything Underwater: Evaluating Visual Registration in Marine Robotics.
.- Adaptation of Pre-trained Neural Network Models for Inspection via Image Analysis.
.-  Agent Cards: A Documentation Standard for Operational AI Agents.
.- On the Interpretation of Clip Limit in Contrast-Limited Adaptive Histogram Equalization.


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