Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications 27th Iberoamerican Congress, CIARP 2024, Talca, Chile, November 26–29, 2024, Proceedings, Part II /
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...
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| Outros autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | inglés |
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Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Edición: | 1st ed. 2025. |
| Series: | Lecture Notes in Computer Science,
15369 |
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| Acceso en liña: | https://doi.org/10.1007/978-3-031-76604-6 |
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| 245 | 1 | 0 | |a Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications |h [electronic resource] : |b 27th Iberoamerican Congress, CIARP 2024, Talca, Chile, November 26–29, 2024, Proceedings, Part II / |c edited by Ruber Hernández-García, Ricardo J. Barrientos, Sergio A. Velastin. |
| 250 | |a 1st ed. 2025. | ||
| 264 | 1 | |a Cham : |b Springer Nature Switzerland : |b Imprint: Springer, |c 2025. | |
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| 490 | 1 | |a Lecture Notes in Computer Science, |x 1611-3349 ; |v 15369 | |
| 505 | 0 | |a 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. | |
| 520 | |a 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. | ||
| 650 | 0 | |a Pattern recognition systems. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Computer vision. | |
| 650 | 0 | |a Computer engineering. | |
| 650 | 0 | |a Computer networks . | |
| 650 | 1 | 4 | |a Automated Pattern Recognition. |
| 650 | 2 | 4 | |a Machine Learning. |
| 650 | 2 | 4 | |a Computer Vision. |
| 650 | 2 | 4 | |a Computer Engineering and Networks. |
| 700 | 1 | |a Hernández-García, Ruber. |e editor. |0 (orcid)0000-0002-9311-1193 |1 https://orcid.org/0000-0002-9311-1193 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Barrientos, Ricardo J. |e editor. |0 (orcid)0000-0001-5345-7061 |1 https://orcid.org/0000-0001-5345-7061 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Velastin, Sergio A. |e editor. |0 (orcid)0000-0001-6775-7137 |1 https://orcid.org/0000-0001-6775-7137 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
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| 776 | 0 | 8 | |i Printed edition: |z 9783031766039 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031766053 |
| 830 | 0 | |a Lecture Notes in Computer Science, |x 1611-3349 ; |v 15369 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-031-76604-6 |
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