LEADER 04469nam 22006375 450 001 9910983036403321 005 20251225184956.0 010 $a3-031-75540-5 024 7 $a10.1007/978-3-031-75540-8 035 $a(MiAaPQ)EBC31731523 035 $a(Au-PeEL)EBL31731523 035 $a(CKB)36364747200041 035 $a(DE-He213)978-3-031-75540-8 035 $a(OCoLC)1463767586 035 $a(EXLCZ)9936364747200041 100 $a20241017d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Computational Intelligence $e23rd Mexican International Conference on Artificial Intelligence, MICAI 2024, Tonantzintla, Mexico, October 21?25, 2024, Proceedings, Part I /$fedited by Lourdes Martínez-Villaseñor, Gilberto Ochoa-Ruiz 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (265 pages) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v15246 311 08$a3-031-75539-1 327 $a -- Machine Learning. -- Towards Estimating Water Consumption in Semi-Arid Urban Landscaping: A Machine Learning Approach. -- Talent Identification in Football Using Supervised Machine Learning. -- Latent State Space Quantization for Learning and Exploring Goals. -- Predicting and Classifying Contaminants in Mexican Water Bodies. -- A ConvLSTM approach for the WorldClim Dataset in Mexico. -- Building Resilience Against Climate Change, Focusing on Predicting Precipitation with Machine Learning Models on Mexico?s Metropolitan Area. -- Machine Learning Approaches for Water Quality Monitoring in the Desert State of Sonora. -- Predicting Water Levels Using Gradient Boosting Regressor and LSTM Models: A Case Study of Lago de Chapala Dam. -- Efficiently Mining High Average Utility Co-location Patterns Using Maximal Cliques and Pruning Strategies. -- QUE MAX-TE-LATTE Personalized Product Recommendations in the ´ Coffee Shop Industry: Enhancing Customer Experience and Loyalty. -- Price Estimation for Pre-Owned Vehicles Using Machine Learning. -- Algotrading R2ED: A Machine Learning Approach. -- Analysis of Predictive Factors in University Dropout Rates Using Data Science Techniques. -- Machine Learning. -- Incremental learning for object classification in a real and dynamic world. -- Easy for us, complex for AI: Assessing the coherence of generated realistic images. -- Comparative analysis of natural landmark detection in lunar terrain images. -- Exploring Anchor-Free Object Detection Models for Surgical Tool Detection: A Comparative Study of Faster-RCNN, YOLOv4, and CenterNet++. -- Smartphone-based Fuel Identification Model for Wildifire Risk Assessment using YOLOv8. 330 $aThe two-volume set, LNAI 15246 and 15247, constitutes the proceedings of the 23rd Mexican International Conference on Artificial Intelligence, MICAI 2024, held in Tonantzintla, Mexico in October 21?25, 2024. The 37 full papers presented in these proceedings were carefully reviewed and selected from 141 submissions. The papers presented in these two volumes are organized in the following topical sections: Part I - Machine Learning; Computer Vision. Part II - Intelligent Systems; Bioinformatics and Medical Applications; Natural Language Processing. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v15246 606 $aArtificial intelligence 606 $aComputers 606 $aDatabase management 606 $aApplication software 606 $aArtificial Intelligence 606 $aComputing Milieux 606 $aDatabase Management System 606 $aComputer and Information Systems Applications 615 0$aArtificial intelligence. 615 0$aComputers. 615 0$aDatabase management. 615 0$aApplication software. 615 14$aArtificial Intelligence. 615 24$aComputing Milieux. 615 24$aDatabase Management System. 615 24$aComputer and Information Systems Applications. 676 $a006.3 700 $aMarti?nez-Villasen?or$b Mari?a de Lourdes$01884793 701 $aOchoa-Ruiz$b Gilberto$01784972 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910983036403321 996 $aAdvances in Computational Intelligence$94522694 997 $aUNINA