Progress in pattern recognition, ima...
Iberoamerican Congress on Pattern Recognition (2024 :)

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  • Progress in pattern recognition, image analysis, computer vision, and applications = 27th Iberoamerican Congress, CIARP 2024, Talca, Chile, November 26-29, 2024 : proceedings.. Part II /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Progress in pattern recognition, image analysis, computer vision, and applications/ edited by Ruber Hernández-García, Ricardo J. Barrientos, Sergio A. Velastin.
    Reminder of title: 27th Iberoamerican Congress, CIARP 2024, Talca, Chile, November 26-29, 2024 : proceedings.
    remainder title: CIARP 2024
    other author: Hernández-García, Ruber.
    corporate name: Iberoamerican Congress on Pattern Recognition
    Published: Cham :Springer Nature Switzerland : : 2025.,
    Description: xvii, 276 p. :ill. (some col.), digital ;24 cm.
    [NT 15003449]: 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.
    Contained By: Springer Nature eBook
    Subject: Pattern recognition systems - Congresses. -
    Online resource: https://doi.org/10.1007/978-3-031-76604-6
    ISBN: 9783031766046
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