Artificial Intelligence – COMIA 2025

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

AvLourdes Martínez-Villaseñor,Bella Martínez-Seis

Häftad, Engelska, 2025

Del 2553 i serien Communications in Computer and Information Science

1 024 kr

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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 21 mm
Vikt:563 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:356
Förlag:Springer International Publishing AG
ISBN:9783031979095
Originaltitel:Artificial Intelligence – COMIA 2025

Utforska kategorier

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

Innehållsförteckning

.- Computer Vision and Image Processing.- Identification of Dangerous Driving Patterns through Computer Vision and Deep Learning..- Fire risk assessment in San Luis Potos´ı’s middle zone through CBIR and evolutionary computation techniques for land image analysis..- Embedded system for weapon and intimidation position recognition with alerts sent to smartphones..- Eye Feature Segmentation for the Identification of Artificially Generated Faces..- Encoder-decoder neural network model inspired by retinal signal processing in the retina and decoding in the visual cortex..- Automated design of interest point detectors using grammatical evolution..- Fruit Fly Classification (Diptera: Tephritidae) in Images, Applying Transfer Learning..- Stress Detection of Students via Low-Resolution Thermal Images using ROIs..- ARCanvas: A Mobile-based Collaborative Colocated AR Drawing Application..- Identification of Wildfire Risk Areas Through Semantic Segmentation..- Detection of Physical Violence at Schools Using Machine Learning and Computer Vision..- Alternative Strategies for Feature Engineering in a Mexican Sign Language Recognition..- Digital Image Synthesis Using Multi-Tree Genetic Programming..- Representation of Neuro-Symbolic Networks for sub-algebraic terms..- Deep Learning.- Enhancing Intrusion Detection via Hierarchical Transfer Learning for Real Network Traffic..- Filtering of Geophysical Data Using Unsupervised Methods and Multiresolution Analysis..- Machine Learning and Pattern Recognition.- A study for air quality analysis in the city of Puebla..- Predicting Complete Pass Probabilities with Graphs..- Optimized Photovoltaic Energy Forecasting through Extended Data and Python-Based Artificial Neural Networks..- Improved MDLP Algorithm for Supervised Discretization of Continuous Data..- Human-friendly Explanations Checklist for Reinforcement Learning: XRL H-F-E Checklist..- Reinforcement Learning in Urbanism: Building the Cities of the Future with AI..- Data Mining.- Predicting Hardness and Elastic Modulus of Cast Aluminum Alloys from Chemical Composition Using Artificial Neural Networks..- Gini Index-Based Identification of Predictors for Undergraduate Academic Performance..- Optimizing Food Traceability through QR, NFC, IoT Technologies, and Artificial Intelligence to Enhance Food Safety and Reduce Waste..- Characterization and classification of Mexican woods by local texture analysis using deep learning techniques..- Estimating Evapotranspiration Using Random Forest Regression and Remote Sensing Data.

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