01010nam0-22003011i-450-99000257854040332120080128103210.0000257854FED01000257854(Aleph)000257854FED0100025785420030910d1942----km-y0itay50------baitaITy-------001yyAtti del 2. congresso dell'Unione matematica italiana tenuto in Bologna nei giorni 4-5-6 aprile 1940sotto gli auspici della r. Università di Bologna e del Consiglio Nazionale delle ricercheRomaCremonese1942viii, 1021 p.28 cmMatematica510Unione matematica italiana28635ITUNINARICAUNIMARCBK990002578540403321MXXXI-A-179378MASMASAtti del 2. congresso dell'Unione matematica italiana tenuto in Bologna nei giorni 4-5-6 aprile 1940436048UNINA05070nam 22006735 450 99663086130331620250626163834.09783031766046(electronic bk.)978303176603910.1007/978-3-031-76604-6(MiAaPQ)EBC31784951(Au-PeEL)EBL31784951(CKB)36597682500041(DE-He213)978-3-031-76604-6(OCoLC)1472987188(EXLCZ)993659768250004120241116d2025 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierProgress in Pattern Recognition, Image Analysis, Computer Vision, and Applications 27th Iberoamerican Congress, CIARP 2024, Talca, Chile, November 26–29, 2024, Proceedings, Part II /edited by Ruber Hernández-García, Ricardo J. Barrientos, Sergio A. Velastin1st ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (0 pages)Lecture Notes in Computer Science,1611-3349 ;15369Print version: Hernández-García, Ruber Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications Cham : Springer,c2024 9783031766039 Unmasking Phishing Attempts A Study on Detection in Spanish Emails -- Comparative Analysis of Spatial and Spectral Methods in GNN for Power Flow in Electrical Power Systems -- An Effective Artificial Intelligence Pipeline for Automatic Manatee Count Using their Tonal Vocalizations -- Exploring Neural Joint Activity in Spiking Neural Networks for Fraud Detection -- Rethinking the Quality of Synthetic Palm Vein Images from Spectral Analysis -- An uncertainty driven ScaledYOLOv4 for open pit mining helmet detection -- A generative algorithm to compute NanoFingerprints -- Impact of agricultural production on climate change in South America comparative analysis between 1990 and 2020 -- VAVnets retinal vasculature segmentation in few shot scenarios -- Remote Sensing Based Precipitation Detection using Conditional GAN and Recurrent Neural Networks -- Data Driven Genetic Algorithm for the Optimization of Water Distribution Networks A New Surrogate Model for Estimating Investment and Operational Costs in Pumping Stations -- Gene Regulatory Network for the Tryptophanase operon under the Threshold Boolean Network Model -- Multilabel Classification of Intracranial Hemorrhages using Deep Learning and Preprocessing Techniques on Non Contrast CT Images -- Segmentation of Brain Tumor Parts from Multi Spectral MRI Records Using Deep Learning and U net Architecture -- Exploiting the Segment Anything Model (SAM) for Lung Segmentation in Chest X ray Images -- Predicting Next Phases of Multi-Stage Network Attacks A Comparative Study of Statistical and Deep Learning Models -- Improving Suicide Ideation Screening with Machine Learning and Questionnaire Optimization through Feature Analysis -- Aquila Optimizer for hyperparameter metaheuristic optimization in Extreme Learning Machine -- Mixture of LSTM Experts for Sales Prediction with Diverse Features.This two-volume set LNCS 15368-15369 constitutes the refereed proceedings of the 27th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2024, held in Talca, Chile, during November 26-29, 2024. The 35 full and 3 short papers presented in these proceedings were carefully reviewed and selected from 61 submissions. The papers presented in these two volumes are clustered into various thematical issues as follows: Part I: Mathematical methods and computing techniques for artificial intelligence and pattern recognition, bioinformatics. Part II: Biometrics, cognitive and humanoid vision, computer vision, image analysis, intelligent data analysis.Lecture Notes in Computer Science,1611-3349 ;15369Pattern recognition systemsMachine learningComputer visionComputer engineeringComputer networksAutomated Pattern RecognitionMachine LearningComputer VisionComputer Engineering and NetworksPattern recognition systems.Machine learning.Computer vision.Computer engineering.Computer networks.Automated Pattern Recognition.Machine Learning.Computer Vision.Computer Engineering and Networks.006.4Hernández-García Ruber1782786Barrientos Ricardo J1782787Velastin Sergio A1782788MiAaPQMiAaPQMiAaPQ996630861303316Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications4309270UNISA