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Artificial intelligence - COMIA 202517th Mexican Congress, Mexico City, Mexico, May 12-16, 2025, proceedings.Part II /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial intelligence - COMIA 2025edited by Lourdes Martínez-Villaseñor, Bella Martínez-Seis, Obdulia Pichardo.
Reminder of title:	17th Mexican Congress, Mexico City, Mexico, May 12-16, 2025, proceedings.
remainder title:	COMIA 2025
other author:	Martínez-Villaseñor, Lourdes.
corporate name:
Published:	Cham :Springer Nature Switzerland :2025.
Description:	xvi, 356 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence
Online resource:	https://doi.org/10.1007/978-3-031-97910-1
ISBN:	9783031979101$q(electronic bk.)

Artificial intelligence - COMIA 202517th Mexican Congress, Mexico City, Mexico, May 12-16, 2025, proceedings.Part II /
Artificial intelligence - COMIA 202517th Mexican Congress, Mexico City, Mexico, May 12-16, 2025, proceedings.Part II /[electronic resource] :COMIA 2025edited by Lourdes Martínez-Villaseñor, Bella Martínez-Seis, Obdulia Pichardo. - Cham :Springer Nature Switzerland :2025. - xvi, 356 p. :ill., digital ;24 cm. - Communications in computer and information science,25531865-0937 ;. - Communications in computer and information science ;229..

-- 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.

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.

ISBN: 9783031979101$q(electronic bk.)

Standard No.: 10.1007/978-3-031-97910-1doiSubjects--Topical Terms:

252958
Artificial intelligence

LC Class. No.: Q334

Dewey Class. No.: 006.3

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