{"product_id":"9783032090430","title":"Advances in Soft Computing : 24th Mexican International Conference on Artificial Intelligence, MICAI 2025, Guanajuato, Mexico, November 3, 2025, Proceedings, Part II (Lecture Notes in Computer Science)","description":"\u003cp\u003eThe two-volume set, LNAI 16221 and 16222, constitutes the proceedings of the 4th Mexican International Conference on Artificial Intelligence, MICAI 2025, held in Guanajuato, Mexico, November 3, 2025\u003c\/p\u003e\u003cp\u003eThe 65 full papers presented in these proceedings were carefully reviewed and selected from 119 submissions. The papers presented in these two volumes are organized in the following topical sections:\u003c\/p\u003e\u003cp\u003ePart I - Machine Learning; Natural Language Processing and Neural Networks.\u003c\/p\u003e\u003cp\u003ePart II - Applications; Pattern Recognition; Computer Vision \u0026amp; Image Processing and Bioinformatics \u0026amp; Medical Applications.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003e.- Applications.\u003c\/strong\u003e\n.- AutoML for Text Classification via Efficient Dataset Representations and Hyper- Heuristics.\n.- Rewarding Sentiment Consistency: Reinforcement Learning for Multilingual Summarization.\n.- Stochastic Harmonic Fields for Safe Robot Navigation in Dynamic Environments.\n.- Real-Time Passenger Feedback for Public Transport Optimization Using NLP and Multi-Agent RL.\n.- MICAI: 25 Years of AI in Mexico.\n.- A Dynamic Penalty Approach in MOEA\/D for Constraint Handling in Multi-Objective Problems.\n.- Urban Crop Coefficient  Estimation for Outdoor Water Management Using Machine Learning.\n.- Towards a Distributed-based Learning Robot from Scratch via Neuro-Evolutionary Computation.\n.- Beyond SWE-Bench: A Compiler-Assisted Pipeline for Multi-Language Automated Program Repair.\n.- Advanced parameter extraction for photovoltaic cells using the Black-winged Kite Algorithm.\n\u003cstrong\u003e.- Pattern Recognition.\n\u003c\/strong\u003e.- Topological data analysis and convolutional neural networks for gravitational wave detection.\n.- Data-Driven Power Time Series Imputation Using Cumulative Pattern Matching.\n.- Day-Night Crime Transmission Networks for Temporal Urban Analysis.\n.- Rethinking GAN-BERT for Sensitive Text Classification: The Impact of Training Dynamics and Domain Alignment in Low-Data Scenario.\n.- Limits and Surprises of Cross-Lingual BERT under Data Scarcity: A Portuguese Case Study in Sensitive-Text Classification.\n\u003cstrong\u003e.- Computer Vision \u0026amp; Image Processing.\n.- \u003c\/strong\u003eRecognition of Bee Organizational Behavior with Scene Graphs Generation.\n.- Sign Language Recognition Using Video, Skeleton Data and Deep Learning.\n.- Improving Tomosynthesis Sinograms via Particle Swarm Optimization.\n.- Classification of Foliar Diseases in Tomato Crops Using Convolutional Neural Networks.\n.- Sign Language Recognition and Translation with Large Multimodal Models. A Systematic Review.\n.- Electrical Impedance Mammography Image Fusion Using the Gaussian Pyramid Method for Binary Classification.\n.- Shadow Attenuation in UAV Multispectral Imaging for Enhanced Agave Segmentation.\n.- From Keyframes to Narrative: A Multi-Stage AI Pipeline for Scene Understanding Using Object Detection and Large Language Models.\n.- Volume Estimation of Travertine Blocks Using Keypoint Detection and Homography from Monocular Video.\n.- Automated Ergonomic Risk Assessment in Offices using Computer Vision-Based Activity Recognition.\n.- Real-Time Emotion Recognition in Intelligent Tutoring Systems.\n.- Vision Transformers for Kidney Stone Image Classification: A Comparative Study with CNNs.\n.- Artificial Vision-Guided Hexapod Robot for Autonomous Navigation and Object Localization.\n\u003cstrong\u003e.- Bioinformatics \u0026amp; Medical Applications.\n\u003c\/strong\u003e.- Machine Learning Driven Virtual Reality Intervention for Academic Social Anxiety: A Symbolic AI Prototype.\n.- Automated Segmentation of Hepatic Tumor Cell Migration Using U-Net Models.\n.- Efficacy of a multi-class AI ensemble model in preschoolers to predict nutritional status at school age in Mexico.\u003cstrong\u003e\n\u003c\/strong\u003e.- Classifying healthy and pathological voices: Electroglottographic signal representation using intuitionistic fuzzy recurrence plots.\n.- Risk factors for hipertension and health policy.\n\u003cstrong\u003e\n\u003c\/strong\u003e\u003c\/p\u003e","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":45668838867023,"sku":"00000_00000_00000_00000","price":3150.0,"currency_code":"TWD","in_stock":true}],"url":"https:\/\/kinokuniya.com.tw\/products\/9783032090430","provider":"Books Kinokuniya Taiwan","version":"1.0","type":"link"}