Artificial Intelligence – COMIA 2025

17th Mexican Congress, Mexico City, Mexico, May 12–16, 2025, Proceedings, Part III

AvLourdes Martínez-Villaseñor,Bella Martínez-Seis

Häftad, Engelska, 2025

Del 2554 i serien Communications in Computer and Information Science

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2025-09-27
Mått:155 x 235 x 22 mm
Vikt:598 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:378
Förlag:Springer International Publishing AG
ISBN:9783031979125
Originaltitel:Artificial Intelligence – COMIA 2025

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

.- 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.