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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| Altri autori: | , , |
| Natura: | Elettronico eBook |
| Lingua: | inglese |
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Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Edizione: | 1st ed. 2025. |
| Serie: | Lecture Notes in Computer Science,
15369 |
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| Accesso online: | https://doi.org/10.1007/978-3-031-76604-6 |
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Sommario:
- 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.