| 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: |
Velastin, Sergio A. |
| 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 |